The Jano methodology was developed as an innovative solution to assess the maturity of companies in environmental, social, and governance (ESG) aspects, focusing on small and medium-sized enterprises (SMEs). Based on the 17 United Nations Sustainable Development Goals (SDGs), the methodology structures questions to evaluate adherence to ESG aspects, generating an aggregated "ESG score" and specific classifications for each pillar. The application of this methodology has the potential to promote inclusion in the sustainable practices market, strengthen the competitiveness of SMEs, and align their operations with global ESG principles, contributing to Brazil's economic and environmental development

This work aims to develop a digital application model to support the management of corrective maintenance in multifamily residential developments. Using the Design Science Research methodology, the research structured a Minimum Viable Product (MVP) of the AIA platform – Integrated Assistant for Supporting Building Maintenance – focusing on the organization of information associated with building assets. Although BIM was initially considered a central component of the solution, at this stage, its integration was repositioned as a technical potential for future stages, maintaining the emphasis on the data structure and validated functional flows. The MVP simulates functionalities such as opening service orders, notifying providers and recording history, contributing to the traceability, control and efficiency of building maintenance processes. As a continuation of the research, it is expected to expand the systematic literature review, deepen the practical evaluation of the prototype and later incorporate data from BIM models.

This dissertation addresses the adoption of Massive Open Online Courses
(MOOCs) as a strategy for developing competencies in People Management and
Leadership for Generation Z within the context of Brazilian public universities. The
massive entry of young people from this generation into the labor market,
characterized by high digital fluency, a strong search for purpose, and a preference
for flexible learning methods, has demanded new educational approaches. In this
scenario, MOOCs emerge as an innovative and wide-reaching alternative for large-
scale training, with a focus on developing behavioral and managerial skills.
The objective of this study is to analyze the adoption process of MOOCs in Brazilian
public universities, identifying experiences, challenges, and trends in the
development of young Generation Z leaders, with a comparative analysis from
universities abroads. To achieve this, the research considers topics related to online
education, people management, leadership, and organizational behavior, in addition
to the pedagogical specificities aimed at the target audience, in this case, Generation
Z.
The study will be developed in two stages: the first will involve a scope review of the
courses offered, including a comprehensive mapping of the literature on the subject,
as well as the construction of the analytical model through a theoretical framework
review. The second stage will consist of conducting interviews focusing on tools and
approaches used by researchers and professors at public higher education
institutions (IPES) to promote knowledge sharing through MOOCs. Conclusively, a
qualitative research approach will be adopted, with interviews conducted with
program managers, faculty members, and students participating in these courses.
The methodology will be based on bibliographic studies, document analysis, and a
case study, seeking to understand how MOOCs have been planned, offered, and
evaluated within public higher education institutions.
At the end of the research, it is expected to contribute to the improvement of
educational strategies aimed at developing young leadership, providing inputs for
course enhancement, increasing Generation Z student engagement, and improving
the effectiveness of people management and leadership training initiatives.

This dissertation investigates procedural communication as a material dimension of access to justice, focusing on judicial notifications addressed to self-represented parties in the Federal Special Courts of the Federal Justice of Rio Grande do Norte. It is based on the premise that access to justice requires not only formal entry into the judicial system, but also the understanding of procedural communications and of the actions required from litigants. The research is applied in nature, adopts a mixed-methods approach with qualitative predominance, and is exploratory, descriptive, and propositional in character. It was structured around two dimensions: technological development and innovation management. In the first dimension, the study involved ideation, persona construction, requirements elicitation, prototyping at increasing levels of fidelity, and formative validation of the high-fidelity prototype of the Intima Fácil platform, designed to support the reorganization of judicial notifications into plain language, with inclusive design and automation support. In the second dimension, the study analyzed secondary data from the National Council of Justice, responses from court staff and litigants, existing institutional alternatives, and elements of strategic modeling for the proposed solution. The results indicate that the manual drafting and sending of judicial notifications were associated by court staff with repetitive effort and the need for standardization. Among litigants, the data pointed to difficulties in converting judicial communication into practical guidance for action. The formative validation, conducted with five court staff members and five litigants, indicated favorable initial acceptance, with positive evaluations regarding perceived clarity, ease of navigation, declared usefulness, and overall user experience. The findings should be interpreted within the limits of the adopted research design, characterized by a small sample, a formative usability test guided by representative tasks, predominantly self-reported measures, absence of experimental comparison, and lack of systematic measurement of task completion time, number of clicks, or navigation errors. The dissertation concludes that Intima Fácil, at the high-fidelity prototype stage, presents preliminary technical and functional relevance as a sociotechnical proposal aimed at articulating access to justice, artificial intelligence, plain language, inclusive design, and automation support for procedural communication.

Today, Brazil has one of the largest prison populations in the world. The major problem is that many inmates would already be entitled to some right or benefit during the criminal execution phase, but these are not granted to them simply because they lacked a request. Therefore, this issue needs to be addressed. Innovation coupled with technology proves essential for successfully achieving this goal. It has been found that the creation of simple software can automate this stage of granting criminal execution benefits, both from a law firm perspective and from the perspective of the State, represented by the prison system and the Judiciary.

The practical knowledge accumulated in the daily routine of public servants constitutes a valuable yet vulnerable asset. When residing solely in individual memory, it creates dependency on key personnel and risks administrative discontinuity within the Judiciary. In the judicial registries of the Federal Justice of Rio Grande do Norte (JFRN), the execution of registry operations is strained by an excess of systems and frequent regulatory updates. Given this scenario, this study investigated how to design and evaluate an artificial intelligence (AI) based platform capable of supporting the externalization of tacit knowledge in this environment. The general objective was to develop a technological-organizational solution to mitigate dependency on this knowledge in the operational registry routines of the JFRN. Methodologically, the Design Science Research (DSR) approach was adopted, conducting applied research with a mixed-method strategy. For problem diagnosis and ideation, a structured questionnaire was administered to 43 public servants, alongside workshops using the Creative Framework (Business Stage), an AI-assisted Triztorming session, and the mapping of the payment requisition pilot workflow using BPMN notation. The business modeling was structured through the Lean Canvas and Value Proposition Canvas frameworks. The extracted requirements guided the construction of a high-fidelity prototype of the platform named "O Colega" (The Colleague), which integrates an explicit knowledge repository, flowcharts, and an intelligent conversational assistant focused on the legal-registry domain. The technological evaluation was carried out through task-based usability tests with 12 participants, followed by a form based on the Technology Acceptance Model (TAM) and qualitative content analysis. The diagnostic results confirmed that 83.7% of the servants rely on direct interaction with colleagues to resolve doubts, and that length of service or legal background do not significantly reduce the perceived difficulty of tasks. In the prototype evaluation, all TAM dimensions exceeded the acceptance threshold of 4.0 points, with pedagogical and functional usefulness standing out with an average score of 4.83, in addition to institutional validation obtained through the tool's selection for the JFRN priority project portfolio. It is concluded that the artifact is viable, possesses a high intention of adoption, and complies with the governance guidelines of CNJ Resolution No. 615/2025.

The analysis of 40,297 historical service records from the Federal Regional Court of the 5th Region (TRF5) revealed systemic inefficiency in low-complexity technical support for the Electronic Judicial Process System (PJE), motivating the development of this research. This dissertation investigates the extent to which the integration of statistical diagnosis and structured creative methodologies enables the identification and development of an adequate technological solution to reduce this inefficiency at the Federal Regional Court of the 5th Region (TRF5). The applied research, with a scientific-entrepreneurial qualitative-quantitative approach, was structured in two complementary axes: Technological Development and Innovation Management. Statistical diagnosis of a historical base of 40,297 service records over 24 months revealed that 85.0% of the low-complexity support queue (N1/N2) calls at TRF5 originate from lawyers, with a correlation coefficient r = 0.973 between lawyer calls and total queue volume, and that 77.4% of these demands are automatable — concentrated in four high-priority categories representing 67.6% of the automatable volume. Based on this diagnosis, the Triztorming and Creative Framework methodologies were applied with six interdisciplinary fictional personas, generating 216 ideas and independently converging on the virtual assistant as the priority solution: the PJE-Expert emerged from the creative process as a response to the demands identified by the statistical diagnosis. The functional prototype, developed with a Natural Language Processing architecture, WhatsApp Business API channel, and integration with the OTOBO ticket management system via REST API, was technically validated by PJE specialists and subjected to usability testing with real users, and registered with Brazil’s National Institute of Industrial Property (INPI) as software. The Social Cost-Benefit Analysis yielded a Social Net Present Value of BRL 59,012, Internal Rate of Return of 16.4%, Benefit-Cost Ratio of 1.09, and payback of 3.3 years, based on 497 automatable calls per month — 50.9% of the estimated monthly volume of the lawyer queue, with no additional conservatism discount applied. Results demonstrate that the adopted methodological integration is viable, replicable, and produces solutions with greater empirical legitimacy than those developed without structured diagnosis.

Low adherence to medication regimens among patients with chronic diseases represents a serious public health issue, frequently associated with the occurrence of Medication-Related Problems (MRPs). Although pharmacotherapeutic monitoring is recognized as an effective strategy for identifying and resolving these problems, its implementation in community pharmacies still faces structural and operational limitations—notably, a lack of specific clinical digital tools to support the systematic recording, analysis, and longitudinal monitoring of pharmacotherapy. Against this backdrop, this dissertation aimed to develop Clinfarm, a technological solution resulting from a scientific-entrepreneurial research effort. Conceived as a specialized web application for pharmacotherapeutic monitoring, it focuses on optimizing the identification and resolution of MRPs. To achieve this, an applied methodological approach involving incremental and iterative development was adopted. The process combined principles of Design Thinking—to understand user needs—with the Rational Unified Process (RUP), a structured software engineering model based on phases and iterations. The architecture was designed using the hexagonal pattern (ports and adapters) and structured into microservices to ensure modularity, scalability, and maintainability. The system was implemented as a web application with integrated clinical functionalities, including structured encounter logging, the definition of monitoring parameters, automated alerts for potential MRPs, and organized clinical data analysis. The proposal was validated through an exploratory approach involving semi-structured interviews with community pharmacists; the goal was to assess how well the solution met clinical practice needs and to evaluate the tool's perceived utility within the context of pharmacotherapeutic monitoring. The results indicate that Clinfarm—as a technological solution derived from applied research—provides significant support for pharmacists' clinical practice, contributing to better-organized care, enhanced patient safety, and the potential to strengthen treatment adherence. It is concluded that the system contributes to bridging a technological gap in drugstores, with a potential positive impact on the quality of care and public health.

The underrepresentation of women in Brazilian politics constitutes a structural democratic deficit that persists despite the normative advances implemented since the 1990s. In Rio Grande do Norte, a state marked by its historical pioneering role in women's suffrage, the contrast between this legacy and the current low presence of women in spaces of power reveals the limitations of exclusively normative approaches, such as electoral quotas, in overcoming sociocultural and political-institutional barriers. In this context, this research aims to develop social innovation strategies to strengthen women's political participation in Rio Grande do Norte, articulating technological tools, educational content, and the valorization of historical memory. This is an applied study, with a mixed qualitative-quantitative approach and an exploratory, descriptive, and propositional character. Data collection was carried out through a structured electronic questionnaire applied to women over 18 years of age residing in Rio Grande do Norte, and the data were analyzed using descriptive statistics and content analysis. Within the scope of the Alziras Project, technological products aimed at promoting women's political participation were developed, with varying degrees of maturity, comprising a data-monitoring tool (BI Alziromêtro), an integrative digital platform (Portal Alziras), a communication product (podcast), and initiatives focused on valuing historical memory. The field research obtained 394 valid responses and confirmed the research hypothesis across complementary dimensions, evidencing the lack of awareness of the state's pioneering role in women's political history, the deficit in perceived representativeness, the distancing from electoral-political activity, and the centrality of campaign-financing and political-training barriers. The results indicate that social innovation, by articulating data monitoring, political training, and the valorization of historical memory, acts as a complementary instrument to traditional normative measures in addressing the structural barriers to women's participation. It is concluded that strengthening women's political participation requires the articulation of institutional change and cultural transformation, in line with Target 5.5 of Sustainable Development Goal 5 of the 2030 United Nations Agenda. 

The public education landscape in Rio Grande do Norte faces chronic challenges related to school failure, historically mitigated from a strictly reactive and retrospective management perspective. Positioned at the intersection of information technology and public administration, this research aims to develop an artificial intelligence-based predictive model (FAROL Module) to anticipate underlying factors of student vulnerability, and to validate its integration into the educational platform Jogabilizar, converting the mathematical diagnosis into preventive interventions. To this end, the methodological path was characterized as an applied research with a mixed-methods approach. The creation of the technological artifact was guided by Design Science Research (DSR) integrated with the CRISP-DM cycle, using official microdata from the Basic Education Evaluation System (SAEB) for 2023. The laboratory isolated a sample of 28,791 students from the public school system of Rio Grande do Norte, cleaning missing data and defining risk based on the internal proficiency average. During the modeling stage, the XGBoost algorithm was trained, which demonstrated highly conservative and protective mathematical behavior, achieving a Global Accuracy of 78%, an Area Under the ROC Curve (AUC-ROC) of 0.865, and a Recall of 70% in identifying students on the verge of failure. In order to overcome algorithmic opacity and meet governmental transparency requirements, Explainable Artificial Intelligence (XAI) was applied through SHAP values. Game theory revealed that the main drivers of risk are not limited to the classroom but are strongly anchored in structural socioeconomic vulnerability (lack of consumer goods), absence of extracurricular study time, prior retention history, high family cohabitation, and student perception of decontextualized pedagogical practices. It is concluded that the integration of big data with explainable algorithms provides public administration with a surgical diagnostic tool. By operating under the premise of data-supported human intervention, the solution consolidates the transition from a reactive governmental model to the design of evidence-based preventive public policies

Beer is defined as a beverage resulting from the fermentation of brewing yeast, derived from the cooking of malt and hops, where part of the malt or malt extract can be partially replaced by brewing adjuncts, resulting in flavor variations depending on the ingredients used. Therefore, the objective of this study was to develop the production and commercialization of a beer using alternative materials, such as. During this study, the transition from producing homemade craft beer to production in an artisanal microbrewery was addressed. The beer produced was branded "Musa" and sold at a price of R$15.00 per unit. The sales strategy included intensive social media promotion, the creation of WhatsApp groups, partnerships with digital influencers, and sensory analysis conducted at the Federal University of Rio Grande do Norte (UFRN). These efforts allowed the beer to reach a broader and more diverse audience, effectively promoting Musa beer. Furthermore, the combination of digital marketing within. Considering the craft beer consumer market, an opportunity window was identified by leveraging the diversity of adjuncts and fruits and the versatility of beer as a product, which enables the creation of various sensory experiences for enthusiasts. Thus, using bread as a partial substitute for malt does not alter the alcoholic fermentation or the beer production process but also reduces production costs and promotes sustainability by reusing food waste in the brewing industry, contributing to a circular economy and reducing the environmental impact of production.

Population growth and consequent urban growth have generated significant challenges in solid waste management, especially in urban areas. Among the most representative waste is green coconut shell, an abundant by-product of the consumption of this tropical fruit. At the same time, civil construction is one of the industries with the most impact on the consumption of natural resources and the generation of waste. Materials such as sand and cement, widely used, generate high environmental costs due to the intensive extraction of raw materials. In this context, this project proposes the use of green coconut shell powder waste as an aggregate in cement products as a sustainable alternative, meeting the economic, social and environmental pillars, and promoting benefits for society as a whole, including the population, public sector and private companies. The central objective is to describe and analyze the development of an innovative business model, based on the concepts of circular economy, open innovation and low carbon footprint, with a focus on the production of sustainable interlocking floors that use coconut fiber powder as a partial replacement for fine aggregate.The study was carried out in three main stages: (1) theoretical contextualization on sustainability, circular economy, open innovation, low footprint and carbon credits and innovative business models; (2) experimental analysis of the technical performance of interlocking floors with percentages of replacement of fine aggregate (sand) with coconut fiber powder in proportions of 2%, 5% and 10%; and (3) proposing a business model with a low carbon footprint, aligned with open innovation practices, to maximize sustainable and competitive impact on the market. With the implementation of these innovations, the project not only presents technical, economic and environmental feasibility, aligning with concepts of sustainability and innovation, but the proposed model also consolidates its relevance in the global context of decarbonization and green economy, representing an effective response to growing demands for ecologically responsible products in the construction sector.

This work emerged from the identification of a problem: the market insertion of professionals who have recently graduated from high school, who face difficulties due to the lack of higher education, and professionals with prior experience or training, but who encounter significant barriers due to limited resources. Both groups, being at the early stages of their professional journeys, face substantial challenges such as an overload of responsibilities and a lack of resources to outsource services, which makes their activities even more complex. In this context, the PersonAI method was developed to encourage the use of strategic management tools, powered by artificial intelligence, allowing users to perform their tasks efficiently, even when faced with the adversities of the entrepreneurial environment. The research combines concepts of strategic management, agile methodologies, user experience (UX) design, and artificial intelligence, enabling problem identification, action plan formulation, and task execution in a practical and efficient way. The study is based on two pillars: the first addresses UX principles aimed at developing the prototype, with the goal of providing a simple and accessible solution, even for those who do not understand complex concepts; the second presents the foundations of strategic management and artificial intelligence applied in the method. The methodology used in this research is based on user validation through a case study, including the author's accounts of the practical application of the PersonAI method in his services as a UX/UI Designer and Communication Manager. This approach is complemented by a quantitative analysis of data collected through a structured form in two sections: the first focused on validating the problem hypothesis, and the second aimed at validating the proposed solution, which in this case is the PersonAI method. The central objective of this research is to develop and present the PersonAI method, complemented by two specific objectives. The first is to propose a prototype of an application that demonstrates, in practice, how the PersonAI method works. The second is to present RIO, a startup where the author applies the PersonAI method, which was also the subject of his Technical-Entrepreneurial Production, meeting the requirements of the master's degree in the Graduate Program in Science, Technology, and Innovation.

The advancement of Industry 4.0, characterized by the integration of intelligent systems into production processes, presents challenges and opportunities for asset maintenance, focusing on the adoption of autonomous technologies and artificial intelligence. This study investigates the implementation of autonomous maintenance systems, analyzing how these technologies can optimize the detection and classification of failures in cyber-physical systems, enhancing equipment availability and reliability. The research was conducted using real-time data analysis methodologies, based on sensors and AI algorithms, resulting in precise diagnostics and more effective interventions. The results indicate that the incorporation of artificial intelligence into maintenance systems not only increases operational efficiency but also reduces costs and minimizes risks, pointing to a future where autonomous maintenance becomes a standard in advanced industry.

Higher education in Brazil faces structural challenges that affect the country's economic and social development. According to Mozart Neves Ramos from the Ayrton Senna Institute, in addition to causing annual losses of BRL 30 billion, the inefficiency of the Brazilian educational system hinders economic growth and perpetuates inequalities. Among the consequences of this problem is the burnout of educators within the educational sector. The pressure for academic productivity in competitive careers, combined with the engagement challenges of the Digital Era, is a key driver of this scenario. Given this context, the present study aims to develop a methodological procedure focused on boosting the academic productivity of both faculty members and students. The specific objectives are: (i) to diagnose the causes of inefficiency in learning in higher education; (ii) to apply educational theories, agile methods, and creativity to a learning path from science to business; and (iii) to develop and apply technological validation tools. Considering that this is a problem that directly impacts, to varying degrees, 386,000 professors across 203 Higher Education Institutions, according to 2020 data from the Higher Education Census by the National Institute for Educational Studies and Research Anisio Teixeira of the Ministry of Education, the scientific research advanced towards the entrepreneurial field through the business modeling of this solution. Consequently, Sci2Biz, a learning experience design methodology, was created to generate engagement, develop soft skills, and foster efficient learning, as evidenced by qualified intellectual production. The application of the prototype to more than 1,000 students resulted in a 27% improvement in final grades compared to the outcomes of traditional teaching methods. Additionally, a 70% efficiency in the intellectual production of the evaluated sample was achieved. These results indicate the feasibility of introducing an EdTech into the educational solutions market, which was confirmed by approval for investment in the Startup NE 2023 Program.

Financial education plays a crucial role in economic and social development, being essential from childhood to foster healthy habits of consumption, saving, and planning. This study aims to investigate the application of gamification in teaching financial education to children, exploring the use of playful elements, such as comic books (HQs) and gamebooks, to facilitate the assimilation of financial concepts, while also leveraging a business opportunity to develop innovative products focused on financial education for children. The proposal arises from the need to combine innovation with financial knowledge, utilizing technology, creativity, and fundamental concepts about money to stimulate practical monetary learning in children. The research adopts a qualitative approach, based on bibliographic and documentary research, analyzing academic publications indexed in scientific databases such as Google Scholar, SciELO, and the CAPES Journal Portal. The main results indicate that gamification, by integrating technology and interactivity, promotes greater engagement, active learning, and retention of financial knowledge among children. Additionally, the use of interactive narratives enables the understanding of abstract concepts, allowing students to develop autonomy in financial decision-making. It was observed that the combination of digital media and gamified strategies fosters the construction of a more dynamic, stimulating, and effective learning experience. The study concludes that the use of gamified media in financial education can be an innovative strategy to address gaps in traditional teaching, preparing new generations for more conscious and sustainable financial management. This research contributes to the development of effective and interactive pedagogical practices, providing insights for future studies and educational applications focused on children's financial education, promoting a positive long-term impact on the economic behavior of society.

Even through periods of crisis that resulted in the retraction of several industries, the industry of personal care products, perfumes and cosmetics (HPPC) was one of the least affected. According to the Brazilian Association of the Personal Hygiene, Perfumery and Cosmetics Industry (ABIHPEC), Brazil currently has the fourth largest consumer market for HPPC products, which corresponds to 5,7% of consumption worldwide. This dissertation aims, therefore, to study the profile of the cosmetics consumer in Brazil and to implement a business model for a startup of technological cosmetics, which was created according to the results of a questionnaire through the Google platform. The goal is to check if there is a consumer demand for multifunctional and natural cosmetics. The results were: 217 people aged between 18 and 64 years and two people aged over 64 years responded to the survey (accessed on October 7, 2021). 82.2% are women and 17.8% are men. Gender and age were considered as parameters to obtain more specific results. The persona would be a woman between 25 to 44 years old, has an income of 1 to 3 minimum wages and a higher education degree, a cosmetic draws her attention by its ingredients, she buys cosmetics mostly to replace once it is finished, she researches online about the product before the purchase, tries new brands, prefers products with natural ingredients, however, do not buy if they are less efficient than conventional cosmetics. The survey results are similar to the information found in literature and justify the creation of a new cosmetic brand.

The increasing prevalence of Autism Spectrum Disorder (ASD) highlights the urgent need for early diagnosis and effective interventions. The lack of technological tools adapted to the individual needs of children with ASD and the absence of integration between parents, health and education professionals represent an emerging challenge for the development of these children. To implement effective strategies and build an inclusive environment that favors the learning and socio-emotional development of children with ASD, it is essential that the development of assistive technologies involves close collaboration between parents, health professionals, and education. Unfortunately, this integration is not yet an optimized process. The SisTEA App (Integrated Support System for the Treatment of Children with ASD) presents an innovative response to the demand for adaptable resources for children with ASD, integrating technology and multidisciplinary collaboration. Focusing on the socio-emotional development of children with neurodevelopmental needs, the app provides specific activities and tools to promote social and communication skills. The central point of the construction of this software product is thought of the features integrated into the app that can effectively contribute to the treatment and improvement of the social, cognitive and communicative skills of children who face the challenge of ASD. The result is the realization of an innovative and effective assistive technology system, capable of being used not only in school environments, but also in clinics and homes, aiming to improve the quality of life of these children and their families.

Recruitment and selection (R&S) processes have gone through different phases in the
evolution of people management over time. At the beginning of the 20th century,
empirical and informal practices predominated, strongly influenced by the Taylorist
model and focused solely on productivity. From the 1950s onwards, with the
advancement of Organizational Psychology and the use of psychometric tests, more
structured techniques for candidate evaluation emerged. In the 1980s, the
strengthening of strategic management brought greater emphasis on competencies
aligned with business objectives. In the 2000s, with the advancement of technology,
computerized systems began to support screening and call processes. From 2010
onwards, digital platforms and videoconference interviews became consolidated. In
small and medium-sized enterprises (SMEs), however, R&S processes still largely
occurred in an unstructured manner, with strong dependence on referrals and limited
use of objective criteria, which undermined the attraction and retention of qualified
talent. In light of this scenario, this study aimed to propose an innovative method to
optimize recruitment and selection procedures in SMEs, especially in the stages of
screening, invitation, and interviews. The methodology was developed in four stages,
grounded in the Design Science Research (DSR) method, and supported by
management tools such as the Ishikawa diagram and the Canvas.The result of this
process was the creation of a simplified method that incorporates organizational
analysis resources and support technologies, including artificial intelligence, with the
aim of improving the selection process. The method was validated through the
application of a focus group, carried out in two rounds with field experts, whose
contributions enabled adjustments and refinements. The validation results
demonstrated the acceptability and relevance of the proposal, indicating that its
implementation may reduce errors, optimize decision-making, increase recruitment
agility, and contribute to the continuous development of employees. Thus, the research
presents an innovative methodology aligned with the contemporary challenges faced
by SMEs in the field of recruitment and selection.

The advance of sedentarism and chronic non-communicable diseases constitutes a global public health challenge, responsible for more than 7% of deaths worldwide and estimated annual costs of US$47 billion to healthcare systems. In this context, this work aimed to develop a solution for monitoring body indicators, personalizing training, and connecting users and health professionals in an accessible and inclusive digital environment, along with its respective business model. The adopted methodology was based on a scientific-entrepreneurial design approach, articulating applied research and innovation management. Stages of functional and non-functional requirements gathering, prioritized by the Fibonacci scale, were carried out; iterative prototyping with usability tests; and implementation based on the Full Stack LAMP (Linux, Apache, MySQL, PHP) architecture, combined with artificial intelligence and cloud data analysis resources. Validation involved usage simulations across different profiles (user, personal trainer, and manager), accessibility tests according to WCAG 3.0 guidelines, and security analyses (LGPD). Additionally, a review of technological and market trends was conducted based on patent analyses. The results demonstrated that the solution is capable of monitoring health metrics in real time, generating personalized physical performance reports, and providing adaptive recommendations, integrating direct professional follow-up. The system reduced data redundancies, increased precision in training prescriptions, and enabled multi-profile integration in a single digital environment. Given its value proposition, the solution was named WLF, in association with the concept of the English expression "Way of Life." From this initiative, with the vision of connecting the tool's user to their best version, the startup WLF also emerged, a healthtech responsible for bringing the product to market and expanding its social reach. In this direction, it is noteworthy that the social impact of the work is aligned with the United Nations' Sustainable Development Goal 3 (Good Health and Well-being), by promoting the population's quality of life and positioning itself as a possible innovative support for the management of public health policies. It is concluded that WLF contributes to the promotion of preventive health, with the potential to reduce healthcare costs, strengthen self-care literacy, and improve adherence to healthy habits.

The Accountability Performance Index (iPC), developed by the Office of the Comptroller General of the State of Rio Grande do Norte (CGE-RN), is examined in this study as an innovative instrument capable of redefining the evaluation and monitoring of accountability processes at the state level. The research analyzes the conceptual foundations, regulatory framework, methodological construction, and empirical application of the iPC, highlighting its capacity to enhance public governance, increase transparency, and strengthen the accountability of executive branch management units. The approach adopted is mixed, involving qualitative analyses supported by specialized literature and institutional regulations, combined with quantitative techniques such as correlation, regression, clustering, and descriptive statistics. The use of tools such as Power BI and Google Colab enabled in-depth analyses and precise visualizations, facilitating the identification of patterns, recurrences, and institutional behaviors. Structured around the dimensions of Transparency, Budgetary Performance, and Accountability, the iPC integrates data from government and managerial accountability reports through five indicators that combine objective and subjective criteria related to regulatory compliance, information quality and reliability, communication with auditors, participation in training activities, transparency, responsiveness to internal control recommendations, and budget execution. The results show that the iPC identifies significant disparities across thematic areas and different levels of institutional maturity, providing analytical insights to understand the behavior of management units in relation to their legal obligations. Beyond technical diagnosis, the index has encouraged relevant organizational transformations, increasing participation in training programs, reinforcing deadline compliance, strengthening the role of Internal Control Units (UCIs), and boosting institutional engagement through rankings and certifications. The study demonstrates that the iPC addresses persistent gaps in public administration by offering a continuous subnational monitoring model that is more consistent than fragmented or reactive approaches. By combining regulatory criteria, data analysis, and behavioral elements, the index shows strong potential for replication in other states and municipalities, contributing to the long-term improvement of control processes and the quality of public management. In this way, the iPC is consolidated as a strategic, evidence-oriented mechanism capable of enhancing institutional learning, fostering cooperative practices, and strengthening governance and transparency in the public sector.

The present study lies within the field of entrepreneurial science, focusing on the design and validation of a technological solution aimed at intelligent customer loyalty for micro and small enterprises (MSEs) in the food service sector. The problem identified stems from the low level of digital maturity and the difficulty these businesses face in transforming data into strategic intelligence, which undermines their marketing return on investment (ROI) and customer retention. Based on this diagnosis, the objective was to develop and validate a digital platform that, through gamification and artificial intelligence (AI), would enhance engagement, loyalty, and ROI among MSEs, expanding their participation in the digital market. The methodology was structured around two complementary fronts: technological development (TD) and innovation management (IM). In the first, Design Thinking, Lean Startup, and Agile approaches were applied to design and test a minimum viable product (MVP) in a real environment, reaching technology readiness level (TRL) 6. The prototype was developed in a low-code environment (FlutterFlow, Supabase, and Dart), integrating gamification and AI elements into a simplified and responsive user flow. In the second front, the research adopted a multiple case study with empirical data from 196 MSEs, using tools such as the Innovation Radar, Business Model Canvas, and TAM–SAM–SOM analysis to validate the problem hypothesis, identify opportunities, and model the business in a SaaS format. The results confirmed both the technological and market feasibility of the solution, which was named Indiq.AI. During the 2024 GO!RN event, the platform recorded over 730 registrations and one million interactions, achieving an NPS of 4.9/5 and a positive correlation between satisfaction and recommendation (r = 0.67). The business model demonstrated strong scalability potential, with a projected break-even point at 50 clients and a payback period of 16 months. Recognition in innovation funding programs such as Catalisa ICT and Startup Nordeste further consolidated the research impact within the innovation ecosystem and reinforced its alignment with the digital transformation needs of MSEs. It is concluded that the study achieved its purpose by transforming a sectoral challenge into a practical and scalable solution. Indiq.AI emerges as a deep tech venture focused on democratizing the use of data and AI in the food retail sector, contributing to greater competitiveness, sustainability, and innovation culture among small businesses.

In Brazil, small artisanal fashion enterprises operate under tight working capital constraints, a context in which maintaining speculative inventory represents a critical risk of insolvency and stagnation. For these businesses, the scenario is compounded by the structural dilemma between the need to offer diversity to serve a market that values exclusivity and the financial inability to sustain anticipatory production. In addition to these hurdles, they face challenges related to inadequate pricing, fragmentation of communication with customers, and technological asymmetries that hinder competition with major players. Overcoming these barriers depends on the reconfiguration of production processes, whose transition to on-demand models is decisive for the economic and environmental sustainability of these ateliers. Given this problem, the central objective of this study is to investigate how the design of a digital customization platform can enable on-demand production, reconciling exclusivity, financial risk reduction, and the preservation of manual know-how. The methodology adopts a mixed approach, applied-entrepreneurial in nature and exploratory-descriptive in character. In the technological development axis, it includes systemic diagnosis via the i9W matrix and reflexive autoethnography for the ideation, requirements specification, and conceptual prototyping of the solution named Crioula Studio. In the innovation management axis, it comprises the validation of the problem hypothesis via secondary data, competitive analysis, market sizing (TAM-SAM-SOM), and business modeling via Business Model Canvas. As results, it was empirically validated that the immobilization of capital in inventory is a determinant factor in the fragility of these businesses, and a substantive market opportunity was identified in the Northeastern artisanal sector. The conceptual modeling of the platform demonstrated the theoretical viability of inverting the production flow by placing personalization before physical manufacturing, thus eliminating the need for inventory. It is concluded that the proposal presents strategic consistency and the potential to mitigate operational frictions in artisanal fashion, offering an innovative management model that strengthens the regional creative economy and establishes solid foundations for the future development of a functional MVP and empirical validation.

Innovation management is essential for organizations to position themselves competitively facing a dynamic and turbulent market. Through solutions with agile methodologies to favor the promotion of an organizational culture that is innovative, creative and capable of diminishing risks, and the adaptation of methodologies internationally explored as the Technology Readiness Level used by NASA to measure technological maturity, INBusiness appears, a method which its purpose is to insert small businesses and transform them into innovative businesses. In this work, a tool for measuring the level of innovation of Small Business with less than five years of existence in the market was created, implemented and tested to diminish risks, improve innovation management and promote a higher competitivity among these businesses. Through an applied consulting, and with the technical orientations made, the evolution of the companies was projected into an intermediate level of maturity in innovation. Showing satisfactory effectivity of the tool.

The study aimed to develop strategies to raise awareness of intrapreneurship in Middle School (6th to 9th grade), through rocket-making workshops supported by mini-cases and videos. To achieve this goal, a predominantly qualitative approach was adopted, employing the action research methodology. The results highlighted a significant increase in students' interest in Natural Sciences, even enabling their participation in a prestigious scientific olympiad. Additionally, there was a noticeable improvement in students' scientific literacy, thus contributing to their formation as conscientious citizens. As part of the study, the "Science videos" channel was created on YouTube, which combines technological entrepreneurship and intrapreneurship in science education, offering pedagogical support resources for teachers. A manual for making simple rockets was also developed, using accessible materials such as plastic bottles and pressurized water. In conclusion, the study demonstrated that rocket-making workshops were effective in promoting intrapreneurship among the involved classes.

Competition heats up markets as a whole. Entrepreneurs must strive to survive in this increasingly uncertain world, and many alternatives and strategies are designed to gain advantages over competitors. One of them is the generation of innovations that facilitate commercialization processes, but how to generate this innovation? One of the alternatives is to hire qualified professionals to assist in this endeavor. The object of this work is to present an application that creates a bridge between consultants and entrepreneurs. After a survey with the target audiences, it was noticed an acceptance of both to use the system, after the results all the processes involving the creation of a company were done. Initially a CANVAS, then Marketing, Financial and Operational planning. Two scenarios were developed to evaluate the system's viability, and after studying these scenarios it was possible to detect promising results on billing, profitability and profitability of the entrepreneurial research project.

The biotechnological development of new food products consists of the improvement of processes and methods in which natural resources are contemplated. In this sense, the vegetable Anacardium occidentale Linn stands out. (Anacardiaceae), popularly known as cashew tree and holds wide commercialization of the nut, the liquid of the nut shell and the cashew stalk. In Brazil, these products have great agronomic value and are significantly important for the agricultural sector. The main objective of this present work is the elaboration of a biomass based on A. occidentale (AO) that specifically consists of the use of cashew stalk bagasse supplemented with Pisum sativum (PS), to create a gluten-free nutraceutical food. The raw material AO was commercially purchased, sanitized with chlorinated solution, followed by cutting, drying in an oven with air circulation, crushing and sieving. Pea (PS) was purchased commercially in its frozen form. The bromatological analyses of the dehydrated biomasses AO and PS showed, respectively: 25.3% and 35.23% of moisture; 45.8% and 48.74% of carbohydrates, 15.8% and 7.5% of fibers, 6.3% and 7.9% of proteins, 4.3% and 0.7% of lipids, 2.5% and 0.53% of ashes, 74.7% and 65.37% of total solids. Based on these data the nutritional composition of the biomass AO was supplemented with pea (PS) in a 1:1 ratio (AO:PS), with a dietary profile rich in carbohydrates, fibers and proteins, with low lipid content. The resulting biomass AO:PS was utilized to prepare a hamburger so called CashewNutriMeat, aiming at a creation of a new line of gluten-free vegetarian product. The sensory characteristics of this new product, was carried out with 64 tasters and showed statistical acceptance in the order of 59.4%. In this sense, the CajuNutriMeat product proved to be nutritionally acceptable and together with the sensory acceptance, herein was considered suitable for the production of healthy food. So, the present research is inserted in the biotechnological field and represent an effective alternative in the development of new gluten-free functional food products.

The information age is also the age of personalization, and the school cannot be apathetic to this phenomenon. The COVID-19 pandemic has opened the “curtains” and exposed the backstage of an educational system that has long been failing to achieve satisfactory results, especially in the areas of Portuguese and mathematics, which are fundamental to the formative process. Thus, DIGIprof positions itself as a methodological alternative, structured in the mold of instructional design, which assists the learner in managing their learning (personalized learning), based on methods of educational data science, with the aim of redefining the function of different evaluation models and the data generated and mined by them. It proposes that the student, in addition to accessing these data through visualization panels (dashboards), can follow a path of learning recomposition, mediated by technology, with different learning media and various evaluative methods, aiming for greater autonomy for the student and clarity in the data that will guide the teacher’s action.

This research aimed to test Hackapocket as a tool to support the ideation of a reservation platform for Geoparque Seridó. The study has a qualitative applied approach, classified as descriptive and exploratory. The research included the implementation of Hackapocket, technical visits to the geosites of Geoparque, and questionnaire application. The results revealed the abundance of natural resources and the tourist potential of the region. As research products, there are the development of a manual for conducting ideation processes through Hackapocket, as well as the organization of initial proposals for a reservation platform for Geoparque Seridó. The study concludes that Hackapocket is effective in formulating innovative solutions and that the reservation platform can be an important tool for the development of Geoparque Seridó.

Universities face the challenge of transforming a large amount of student data into actionable
insights to enhance academic management and reduce dropout rates in higher education. A
promising approach to identify factors influencing academic performance is Educational Data
Mining (MDE) and Machine Learning (ML). This research aims to develop a method to
uncover key characteristics related to dropout in the Interdisciplinary Bachelor's in Science
and Technology (C&T) program at the Federal University of Rio Grande do Norte (UFRN),
focusing on students enrolled between 2014 and 2023. Through a literature review, suitable
ML algorithms were identified for a hybrid approach, combining Random Forest
(classification) and Self-Organizing Maps (clustering), with SHapley Additive exPlanations
(SHAP) for explainability analysis. The process involved Knowledge Discovery in Databases
adapted with stages (data collection, preprocessing, feature mapping, training and testing,
explainability analysis). As a result, a predictive model using Random Forest was developed,
achieving an initial accuracy of 93% in identifying at-risk students, and subsequently 91%
and 89% for unknown data, demonstrating consistency and generalization capability. The
research revealed that dropout is influenced by various factors, including curriculum,
socioeconomic, and demographic aspects. Analysis with Self-Organizing Maps created a
feature map illustrating the relationship between attributes and students' educational status.
Combining with SHAP provided comprehensive insights into attribute influences on model
predictions, highlighting the importance of variables such as academic performance, age at
enrollment, hometown, and socioeconomic status. Finally, a Minimum Viable Product (MVP)
was developed as a proof of concept to showcase prediction results and the explainability of
findings, with descriptive and predictive analyses of patterns affecting student retention.

This work aimed to develop a butter cheese cream, based on the artisanal production process. The first stage of the project was to map the entire artisanal “Queijo de Manteiga” production process and identify where innovation could be promoted. Then the new product, a cream of “Queijo de Manteiga” , was manufactured in an Artisanal Cheese Factory, that is in the process of certification, in the Central Mesoregion of Rio Grande do Norte (RN). After manufacturing, the entire production was packaged in commercial packaging, already used in the industry and evaluated for consumer acceptance and the product's useful life. To validate the butter cheese cream formulation, a sensory evaluation was carried out with 79 untrained evaluators, between 18 and 69 years old of both sexes, which obtained an Acceptability Index greater than 70% in all attributes. Monitoring of the product's useful life (Shelf-life) was carried out with sensory, physical-chemical and microbiological analyses, which reached a validity of 48 days, if kept under refrigeration; which meets the appropriate standards for this type of dairy product. After these evaluations, a label and packaging were developed in accordance with RDC nº 429/2020 and an estimate of production costs for the butter cheese cream was made. The cream of “Queijo de Manteiga” was approved by the tasters in the sensory evaluation, its production costs and yield are similar to those of other artisanal dairy products and it has commercialization potential in the local market in the State of RN. Concomitantly with the development of  cream of “Queijo de Manteiga”, market research was carried out with the owners of cheese and dairy factories in the State of Rio Grande do Norte, which indicated their interest in manufacturing a new dairy product. Thus, cream of “Queijo de Manteiga” could result in an alternative that, in addition to innovating, adds income to artisanal cheese makers and enhances the value of dairy products manufactured in the State of Rio Grande do Norte.

The advent of Big Data has catalyzed a fundamental shift in companies, demanding enhancement in their ability to harness data. This evolution is crucial for gaining valuable insights about customers and effectively utilizing analysis in strategic decision-making. From the information obtained through innovative tools like Data Mining, which performs the data mining process, companies will formulate strategic actions, directing efforts towards achieving predetermined goals and objectives. The aim of this work is to develop a Data Mining application process as an innovation tool for strategic decisions in sales within a fashion accessories company. A literature review followed by a case study in a fashion accessories company will be conducted. The study will involve data mining using the company's sales database, including phases of data collection, selection, processing, and transformation. It is expected that the results obtained will enable the analysis of collected information and the formulation of strategic directions and actions to boost sales in the company.

The Fourth Industrial Revolution, characterized by the convergence of disruptive
technologies, reshaped the global landscape and labor market demands. In this context,
mastering foreign languages becomes essential for individual and professional success.
However, for many adults, achieving fluency in a foreign language remains a significant
challenge, particularly in effective and natural communication. This study proposes a
teaching methodology that combines active and natural learning approaches, aimed at
adults who struggle with effective communication and comprehension of native and non-
native speakers. This audience requires flexible schedules, goal-oriented learning, and
methods that allow for practical progress measurement, adapting to varied contexts and
individual needs. The characteristics of this audience are often overlooked by traditional
methodologies and online courses, which focus on rigid grammatical elements or content
without a clear approach, making learning challenging. Utilizing Design Thinking tools to
map specific needs and explore different solution possibilities, the methodology employs
artificial intelligence to personalize teaching, providing an accessible educational tool
focused on student autonomy. This approach aims to increase the chances of achieving
desired fluency, enabling students to reach personal and professional goals, and expanding
access to educational and professional opportunities. The methodology transcends
traditional barriers, using technology to democratize access to quality knowledge and act as
a transformative agent in society.

The increase in distance learning through distance learning platforms is a phenomenon that has been growing in recent years, also thanks to technology. Today, due to the COVID-19 pandemic, what was already a trend has become commonplace. The objective of this research is to identify a possible path to be taken to help students on distance learning platforms improve their own performance throughout their study journey. The research will use a qualitative and quantitative approach aimed at collecting relevant information about the routines of teachers and tutors in managing courses and the tool, in addition to interacting with some students to measure engagement. The nature will be applied with the production of content aimed at understanding which strategies increase engagement and finding methodologies to increase retention on the platform and in the course. The desired result is the development of a SaaS platform that can be connected to distance learning platforms via API that, based on the programming executed. The actions resulting from the verification of particular events and based on student performance, have been able to increasingly refine the content advisory system. Automating recurring processes and producing more personalized data more quickly frees up more time for platform managers, who can focus on providing more humanized support to students.

The education system in Brazil, according to the organization for Economic Cooperation and Development (OECD), presents a stagnation that lasted for ten years, and, when evaluated in the 2018 edition of the International Student Assessment Program (Pisa), the country reached the areas of mathematics, science and literature respectively 70°, 66°, and 57°. This scenario maintaining due to the educational model adopted by the country that does not follow the advances in the area and the devaluation of professionals working in education, according to the OECD (2018), Brazilian teachers are the ones who receive the worst salaries among the 48 countries evaluated. To seek solutions to alleviate this scenario. The present work proposes to develop a system based on machine learning that will analyze the student’s profile to detect the main points of learning difficulty and thus be able to suggest adaptations in the students’ learning strategies. Also, carrying out a continuous performance analysis to find the most significant challenges of Brazilian students and suggest ways to solve them, thus generating a performance improvement. For this, the project will be tested first for programming logic at the School of Science and Technology of the Federal University of Rio Grande do Norte, as this is an environment controlled through a web platform that will extract data from each student and the class in general. In the future, These data are classified through a system based on supervised learning.

This dissertation aims to present the development process of a production line of natural products with nutritional quality, in the Favorito’s supermarket chain, in a staggered manner, following the food safety parameters during the manufacturing process. It adopts as a basis the trend of the industrialization process of healthy products aimed at supermarkets, with the intention of adding value to the product and, at the same time, guaranteeing nutritional quality. The methodology used is based on a bibliographic study and field study on the subject. As a result, a staggered production sector of natural products is expected, especially minimally processed vegetables and natural fruit juice, which serves customers who are willing to invest time and financial resources for a longer and better quality life. Analyzes of the sales data of the developed products extracted from the Consinco system from the ABC Venda Distribuição curve will be used, in view of identifying the relationship between the product line generated and the revenue of the fruit and vegetable sector of that supermarket.

Economic development, population growth, urbanization in cities were triggers for the increase in the production of pollutants, which caused impacts on the environment. Because of these factors that resulted in the pollution of rivers, springs and lakes, compromising water quality. Based on this information, the present work aims to develop a filter based on biodegradable plant biomass (Curcuma longa L) with remote monitoring for the treatment of industrial wastewater effluent. The methodology was composed of the development of biodegradable biomass, physical-chemical, bacteriological and biological analysis with the use of obtaining and processing data with the application of Data Mining techniques through mining with the use of the WEKA software. The results of the physical-chemical analysis of the parameters pH (pH1), conductivity (cond1), TDS (TDS 1), temperature, turbidity (Turb 1) and color were carried out before and after the treatments of wastewater from soybean and sunflower biodiesel associated with saffron biomass (bark, rhizome, bark + rhizome and commercial). After the verifications, the parameters ph, TDS, conductivity and turbidity were satisfactory, which showed differences between the concentrations associated with the treatments. Bacteriological analyzes were positive for the presence of total coliforms (EC), Escherichia coli and Salmonella shigella in most concentrations associated with the treatment of industrial effluent from soy wastewater. But in relation to sunflower wastewater the results were negative in all concentrations. Regarding the biological parameters of the satisfactory solutions, they noted that the lowest concentrations showed positive results in the period 24 and 72 hours. After that, the quantification of filter residue was carried out where it was observed in the lowest concentrations subjected to treatment with saffron biomass in the industrial effluent of soybean and sunflower biodiesel, respectively bark, commercial and rhizome. A total of 3042 data were analyzed in the weka software with the Apriori algorithm before and after the treatments. However, data from sunflower wastewater are under analysis. Afterwards, all physical-chemical, biological and bacteriological analyzes such as quantification of residue from samples of residual water from soy and sunflower biodiesel are in the filter test phase for the manufacture of the MVP for commercialization. However, new tests will be developed for adequacy of the biodiesel residual water system associated with the treatment of biomass to make the water clear and discarded in the stream or river, following the current legislation as well as the interaction with remote monitoring.

The strategic planning for 2022 of the Serviço Brasileiro de Apoio às Micro e Pequenas
Empresas do Rio Grande do Norte highlights as its purpose the transformation of small
businesses into protagonists of Brazil's development, offering various solutions to the
entrepreneurial ecosystem of the state of Rio Grande do Norte, including management
consulting. With a focus on repositioning, strengthening, and modernizing its territorial
network of relationships, the Agência Sebrae Grande Natal initiated its project to
reposition and modernize its service network. In this context, the objective of this work
is to develop a framework capable of repositioning the offering of management consulting
services of the Agência Sebrae Grande Natal through digital transformation. To solve the
problem situation, theories related to digital transformation, process management, agile
methodologies, TRIZ problem-solving methodology, and data intelligence were studied.
Through the study, the Minimum Viable Product GESCON was developed, which was
validated at the Agência Sebrae Grande Natal, where it was found that the Gescon
Framework brought an 18.02% increase in operational and financial efficiency. Through
data intelligence, a sales funnel was implemented to track the consultations that convert
to contracts, which allowed for better budget predictability and goal planning accuracy.

In 1911, in the book 'Theory of Economic Development', Joseph Schumpeter conceptualizes innovation as a key element for economic dynamics, as well as presenting its responsible: the innovative entrepreneur. New products, new services or new productive forms can create and destroy markets: the creative destruction of the Austrian economist's theory. Since then, many efforts have been applied to the deepening of innovation theories. However, with the specialization of knowledge, such as conquering markets or developing clients, weaknesses were identified, derived from the fragmentation of existing processes, centered on the vision of the cyclical nature of economic dynamics, advocated by Schumpeter. Having said that, would it be possible to have a process that guides the entrepreneur to contemplate cyclicality in innovation management, in the face of continuous market evolution and technological change? In this direction, the objective of this work was to develop a process of management of disruptive technological innovation for new markets. For this purpose, in addition to the bibliographical review on existing theories of innovation, the research included an experimental procedure for prototyping and validating the process, through its application in an enterprise aimed at the tourism industry. After applying creation techniques, the Stairs4Innovation - S4Inn process was developed. The staircase to innovation is a four-step process: emergence; propagation; consolidation and commoditization, which aims to mitigate the possible impacts of creative destruction on nascent or mature enterprises. The application of S4Inn in the Voy Uniq development, of tourist experiences, sensitized the innovative entrepreneur about the necessary effort for the insertion and maintenance of the market. Finally, the Stairs4Innovation process is defended as a strategic tool for innovative entrepreneurship.

In a competitive market such as agribusiness, for example, whose dynamics are related to commodities, adding value to products is a way out for the small rural producer to remain active and the solution may be to invest in the verticalization of the production chain and directly serve the final costumer. The biggest bottlenecks for the small producer are the logistics of production and commercialization. In this context, the present work aims to develop a marketplace platform for small rural producers and agroindustries in direct service to the final consumer, allowing them to receive a quality, fresh and original product at home. The idea was to allow interaction between producer and consumer to increasingly improve the products supplied and, at the same time, enable alternative logistics for the flow of their production, bringing predictability, traceability with solutions that allow their production schedule. In order to achieve the objective, an exploratory research was carried out, seeking the main trends of this market to consolidate them through benchmarking and in the elaboration of a startup aligned with the needs of producers, agroindustries, consumers and couriers, in addition to all possible validation analyzes market. In view of the study, the platform proved to be efficient in integrating production chains, promoting fair trade and adding value to rural products. It stood out as an important tool to implement a new way of marketing rural products using resource sharing, pattern analysis and production forecasting through data mining and artificial intelligence.

The study aims to analyze an implementation model of the Lean approach in Home Care pharmacy. This is a study with a qualitative approach of the action-research type. The study describes meetings and communication with research participants, application of 5S, development of the dashboard, participation in the inventory, ending with the application of a survey with managers. As a result, the study reveals that the commitment to maintain employee compliance, consider financial aspects and ensure safety standards are key elements for the successful evolution of the implemented model. The study concludes that the implementation of the Lean approach in pharmacy results in an improved understanding of costs by managers, organizes work processes and contributes to a reduction in costs in the delivery of products to patients in the Home Care Service.

The General Data Protection Law (LGPD) establishes principles and technical controls for the security and privacy of personal data, ensuring the protection of citizens' fundamental rights. The right to informational self-determination grants data owners full awareness and control over how their data is used. The LGPD requires organizations to have a Data Protection Officer (DPO), who acts as the point of contact between the organization and data subjects, responsible for addressing data subject requests, ensuring transparency and efficiency in the processing of personal data. Failure to comply can result in harmful consequences for organizations, ranging from administrative fines and legal convictions to loss of credibility in the market. The problem at hand, which involves a reduced number of personnel, repetitive and error-prone processes, hampering compliance with legal deadlines in DPO analyses, has motivated the exploration of the possibility of an innovative system, presented in this dissertation along with potential solutions, using the TRIZ methodology. A market analysis is conducted, mapping data protection inventions in the Industry 4.0 and identifying key players, as well as researching investments in data security and privacy, demonstrating business opportunities. Finally, specifications for the requirements of an envisioned expert system prototype are presented, already registered with the INPI as edpOfficer, defining how information will be identified and processed in terms of software specification, aiming to optimize the management of data subject requests by the DPO, including a semantic analyzer in the user interface. This approach highlights the challenge of obtaining accurate and reliable information to support decision-making with minimal human intervention and the importance of providing the DPO with mechanisms to analyze and direct information to data subjects according to their needs, faster and without compromising quality.

Startups are flexible and innovative organizations with business models under construction, seeking to gain maturity and competitive advantages that consolidate them in the market. Naturally, it is common for startups to fail in achieving their objectives due to various factors, from internal issues such as poor process management, to external issues such as loss of competitiveness relative to competitors. In the corporate world, strategic management has presented itself as a solution for senior management of companies to structure business models, even complex ones, through strategic planning that aligns the objectives of the company's managerial vision with the processes and activities carried out by each directorate and team. Startups, however, have difficulties in applying methods of strategic management, largely due to the uncertainties inherent in evolving business models, as well as the need to act agilely, to accommodate the frequent changes that are part of the routines of these companies. With this challenge in mind, this work presents a reinterpretation and adaptation of strategic management methods organizing them in a flexible and agile way enough to suit the realities of startups. For this, the foundations of competitive advantage, the theory of strategic inflection points, and antifragile business, as well as the problems that interfere with the success of startups, were studied, proposing a combination of the Balanced Scorecard (BSC) and Objectives & Key-Results (OKRs) models for strategic management of startups. Thus, strategic management techniques can be applied in a structured and agile way, in a model called Business Strategy Engineering (BSE). BSE, therefore, is a strategic management model redesigned to meet the dynamics experienced in startups, allowing these organizations to think and act strategically, contributing to the planning of their strategic objectives and in obtaining a competitive advantage. As a result, the BSE method is presented and discussed as a business model designed as a business strategy consultancy for startups, directing and leveraging processes for the development of innovation.

The advent of digital technology has brought changes in society, such as in the financial market and integrated management systems, which makes financial transactions much more efficient. And in this world, changes generate opportunities, such as in the automation of companies’ treasury management. Apolus tries to create a treasury management tool, where it controls cash and executes securities, applications or redemptions automatically without human interference or harms the cash flow of companies, generating efficiency in capital management and decrease in treasury costs. Once with a tool so validated, a process for validating a scalable business model begins. This research makes a case study about the evolution of the idea and its construction process until thinking about how the next steps need to be taken to create a business and the methods chosen to do so. Therefore, it appears that the tool is under development in companies in the engineering sector, whether as service, commerce or industry, where improvements and solutions are identified in new business opportunities.

Many startups that work with management platforms have excellent practices from ideation to implementation for the end customer. To start and improve its operational methodology, the startup Conecta Mapa - Plataformas de Gestão used the existing demands from Office of Civil Defense of Rio Grande do Norte in its temporal context as a case study giving birth to the Conecta Defesa Civil Platform and the Conecta Água Platform. To manage information and innovation within a company or government departments, the startup had the main objective to consolidate its own methodology. This methodology was developed from the research of good practices via literature review and in the learning of the practices in the context where the platforms were executed, innovating not in the types of technologies used that would become temporarily obsolete, but in the experienced principles that will manage the operational processes. The innovative method created is based on seven principles, 1 - parallelism, 2 - legality, 3 - simplicity, 4 - space, 5 - immateriality, 6 - integration or unity and 7 - beauty. These seven principles can be detected simultaneously on pages of any platform developed by the startup. The reward for using its own methodology was a total transformation of all the startup's processes, which became more agile, with good profit margins and scalable with different types of technology. The application of these principles made it possible to scale from two applications in the office of Civil Defense to ten management platforms in other government sectors and private sectors, from small companies to industries. With the same principles, it was possible in an agile and accessible way to answer different specific demands and solve real problems with the management platforms developed by the startup Conecta Mapa - Plataformas de Gestão.

The Architecture, Engineering and Construction (AEC) industry has been influenced by rapid technological changes, among which the BIM - Building Information Model, translated into Portuguese "Construction Information Model" has stood out in recent times. Projects were no longer made in 2D drawings without information and started to be made digitally. BIM is being one of the hallmarks of innovation in the AEC industry. The methodology proves to be a promising path for the civil construction industry and allows the unification of important information, allows improvements in the project even before its execution and has as one of its main objectives the delivery of projects and works with the least amount of errors as possible, making the projects more faithful to the final product and enabling more accurate budgets, more efficient project execution and construction savings. To this end, the Federal Government is encouraging the use of BIM in Brazil through decrees and laws. In addition to federal public administration entities, engineers, architects and construction companies are being affected by these legislations, however, not all are qualified to work with BIM projects. Therefore, there is an opportunity for growth for BIM designers in the new emerging market. In view of this scenario and the desire to contribute to the promotion of the economy of the construction industry, this work aimed to carry out a study for the development of a web platform, called BIM Office, which aims to provide the connection between those who need buy BIM projects with those who know how to design in BIM, through digital mediation. The studies consisted of carrying out a market research, where the adherence of the business model was verified, therefore, the economic-financial analysis of the startup was carried out, using the NPV, IRR and Payback methods and, in sequence, it was also developed the low fidelity minimum viable product (MVP) using the smoke technique of the web platform.

The enactment of laws that regularized the production of artisanal cheeses and butter in the State of Rio Grande do Norte (RN), allowed the commercialization of artisanal cheeses and butter, produced according to the regional form and culture, if they have the ARTE seal, which regulates and allows the sale of artisanal products throughout Brazil, even for establishments without Federal Inspection. This combination of factors stimulates the development of agribusiness in RN, especially the dairy sector. However, as much as these new legislations make the rules to produce dairy products more flexible, a common point in all of them is the quality requirements. While cheese production from unpasteurized milk is permitted, it is essential that minimum food safety standards are in place so that consumers' health is not affected. Therefore, it is necessary that the production of artisanal cheese and butter obey the Good Manufacturing Practices (GMP) programs, which are a set of treaties on the basic concepts of operational hygiene that companies must follow to guarantee products without risks to consumers. On the other hand, micro and small companies have some difficulties in implementing the GMP Program. The first one is related to the lack of qualified labor for the internal elaboration of GMP standards, which leads companies to seek external consultants for the creation of the Program, generating an additional cost in the already costly process of regularization of these establishments. The second problem is related to the maintenance of the BPF. In simpler versions, it can contain dozens of worksheets to be filled in at different times (daily, weekly, fortnightly, semiannually and annually), which generates a volume of information that is difficult to organize for these companies, causing the program to be constantly outdated. Small artisanal cheese makers, mini milk processing plants and other companies that process low volumes of milk usually do not have a responsible person trained to work in this area, and it is normally the responsibility of the establishment owner to keep these records in order, which is not always happens. For these reasons, the objective of this project is the development of an application that can cover the main checklists and control sheets of a generic GMP model, with alerts about the controls to be verified on the day, options for registration and monitoring of the non-conformities, management reports and other requirements and resources necessary for the implementation and maintenance of Good Manufacturing Practices. The incremental innovation of this proposal is the development of a low-cost application, which will allow the inclusion of small and medium-sized companies in the prerequisites for certification together with the official inspection services and, therefore, allow these companies to enter the formal market, generating income and employment in their regions.

It was only between 1990 and 2000 that the term Social Entrepreneurship was spread in Brazil. Social entrepreneurship, above all, is an innovative action aimed at the social field whose process begins with the observation of a particular local problem situation, for which one seeks, then, to develop an alternative to face it. In this line of action, Entrepreneurship with social impact stands out in this study, where the entrepreneur seeks financial profit for his own benefit but causes a certain social impact where he acts through his Impact Business/startup, which aligns the resolution of problems socio-environmental and profit generation. Thus, identifying as a problem situation the reduced inclusion of people with disabilities in the job market even in the face of available PWD professionals, technological and innovative tools are necessary to facilitate the PWD hiring process for companies. Develop and validate a technology capable of connecting PcD professionals from the job market and training with accessibility, increasing inclusion and organizational diversity. Within this purpose, descriptive research was carried out to understand the behavior of companies in relation to PWDs in Rio Grande do Norte. Additionally, the potential use of the developed technology was evaluated, through applied research with companies and professionals. Thus, the dynamics of the RN market, its bottlenecks and opportunities were understood, and the application of Inclutec technology and its ability to allocate professionals and increase inclusion and diversity in companies were evaluated, proving to be a viable and scalable business.

From the Industrial Revolution to the present day, technological advances have brought several transformations within organizations, with the use of intelligent systems that can facilitate and accelerate the performance of tasks efficiently and effectively. Thus, based on the idea that technological innovations can bring agility to the progression processes of technicians at the Federal University of Rio Grande do Norte (UFRN) with authorization from the Dean of Personnel Management (PROGESP), it is justified the accomplishment of this work for understanding that it is important to study Artificial Intelligence (AI) in this context, and for believing that the presented theme can serve as an incentive for managers, public or private, to invest in intelligent systems. Therefore, the main objective of this work was to analyze the contribution of Artificial Intelligence as an auxiliary tool in the agility and security in the process of progression of administrative technicians, as a way to eliminate or minimize the problems currently faced. This is a case study at UFRN, specifically in the main DPCC and DCEP sectors involved in the processing of this type of process, verifying the flow of the current progression process; and suggesting a new flow with suggestions for improvements. In general terms, it is expected that the progression of administrative technicians at UFRN can have the same effectiveness and reduction of process time as that of professors, since the system for this category has already achieved positive results. It is believed that, with automation with AI in part of this flow, the existing problems in the UFRN technician progression processes will be reduced.

The interactions between these actors of a National Innovation System are the subject of research, in order to maximize efficiency between institutions. In this sense, Etzkowitz and Leydesdorff (1995) when studying the dynamics of technological interaction, identify three main characters: university, company and government, the well-known proposed model of the Triple Helix. Briefly, the university is where knowledge generation takes place, the company is the place where this knowledge is applied in practice, and the government is responsible for promoting and financing innovation processes and reducing difficulties for the implementation and development of innovation. innovation culture. In this model, the interactions between these actors must be functional and also institutional, with broad relationship between these institutions. Within the scope of the government, Federal Law 10,973 was enacted on December 2, 2004, known as the Innovation Law. It emerged with the intention of harmonizing and establishing relationships between universities, companies and government bodies, creating a more favorable and dynamic environment for the development of the innovation process; above all, an environment with legal security (BRASIL, 2004). In this sense, government bodies have shown interest in changing the legal framework on Science, Technology and Innovation, creating a more favorable environment for designing new partnerships and strategies to create new products and processes. In this sense, this work aims to establish the Military Fire Brigade of the State of Rio Grande do Norte as a Scientific, Technological and Innovation Institution, so that it can develop research and, with that, prepare the foundation for the creation of an environment favorable to the innovation processes, where the research developed in the Corporation under study can be carried out through the establishment of strategic partnerships and development of cooperation projects, applying all legislation on Science, Technology and Innovation, including the recent regulatory frameworks.

Faced with the complexity of the fashion production chain, it is noted that for the small entrepreneur who manufactures fashion products, he faces two challenges, what to do with the raw material left over from the production of a given campaign, since in fashion, the materials are easily classified without market value because they are disconnected with what is considered trends, and on the other hand what strategy to use for the acquisition of textile raw materials, since the raw material industries have wholesale sales policies that are inaccessible to the small entrepreneur. It is within this context that the present study aims to develop a technology that connects entrepreneurs in the fashion sector through the possibility of sharing raw materials available in stock. In this direction, exploratory research was carried out on the subject to contribute to the design of the solution in technological tools for the construction of the prototype. With the scientific-entrepreneurial research in progress, the solution to the problem situation has already been approved in two public notices, the first is an acceleration program and the second in a public notice to promote the fashion sector in the state of Rio Grande do Norte . In addition, the research highlights the potential of the solution within the delimited area.

In order to innovate current processes, we found an opportunity in the area of Recruitment and Selection (R&S) to optimize the recruitment process performed by professionals in the area. In the vast majority of cases the recruiter is still delegated to the role of "anthropologist" analyzing up to 1000 curricula per month and taking advantage of only 20% of them according to research by the Brazilian Association of Human Resources (ABRH), and based on interviews with R&S professionals. interviewing the candidates who have the most profile for the vacancy offered. There are more than 6.5 million professionals in Brazil, according to data found on Linkedin. Through the Linkya tool, they will be able to structure a series of questions customized for the vacancy, whose answers will be listed in a spreadsheet. The questions will be taught through a chat with a much friendlier and simpler interface than a form, that is, innovating traditional processes and having bottlenecks is fundamental in the market. Linkya software is a chatbot solution that allows recruiters to chat with candidates. The candidate connects, answers the questions chosen by the R&S team, ChatBot saves the answers in a database and in a simple way the recruiter will be able to filter the results to find more quickly the profiles that fit the vacancy offered. The recruiter can save feedback for the candidate who will receive the message at the end of the process. The business model will be SaaS with monthly subscription or prepaid system per process done. At this time, a third-party platform for Minimum Viable Product (MVP) testing is used that helps to collect data quickly and correctly. Currently, three tests have been performed that have given results higher than expected with up to 80% of responses received via bot, compared to sending resume by email and an organization of the fastest information to be consulted, in addition to the enthusiasm on the part of the selectors who want to repeat with other selection processes due to greater simplicity and agility to apply for the vacancy. The Linkya tool seeks innovation in all chat platforms and professionals available on the internet. It intends to serve an entire company, with various services and, consequently, increasing costs, with the customizable and flexible solution tailored to the R&S professional. Its main differential is the simplicity in the configuration and speed of use of the product and the fact that it works within a very familiar platform: chat. In that first moment with Messenger, and further ahead with other chat platforms as well. The optimization of time with greater capacity to analyze curricula, without increasing costs in proportion as well as greater assertiveness in the selection of candidates due to the database available in spreadsheet. Facilitating screening with personalized responses for each vacancy, and creating a database instead of PDFfiles scattered around the computer, are some of the differentials that allow greater openness in the market.

According to government data, tourism employs 7 million people and accounts for 8.1% of the sum of all wealth produced in the country. The impact reaches 53 segments of the production chain. However, weaknesses in infrastructure and planning can generate significant problems, centered on environmental degradation and social exploitation. Added to this problem is the concentration of 'Sun and Beach' tourism, especially when it comes to the Northeast Region of the country. With the purpose of acting in the opposite direction of the mass tourist offer, the Ecotur venture was created in 2016. The initiative has revealed the potential ofseveral destinations in the Northeast, through tourist experiences that escape the conventional products of the agencies in the sector. Rio Grande do Norte is Ecotur's focus, not only because it is where the company is located, but because of all the existing characteristics, which manifest themselves in a scenario of great deficits, such as the high informality of tour operators and the dispersion of offer. It is within the perspective of boosting Ecotur as an agent of local socioeconomic development, through businesses with a socioenvironmental impact of experience tourism, that the present scientific-entrepreneurial research aims to develop technologies to mitigate the aforementioned problems. The central theoretical assumption of the study are approaches, methodologies and creation tools aimed at modeling the business and innovation strategies for the company's traction. Of an applied nature, the research is supported by bibliographic procedures and technological development aimed at electronic business (e-business). Specifically, the entrepreneurial idea turned to the development of a marketplace of tourist experiences with socio-environmental impact in the Northeast, aiming to sell unconventional destinations and using electronic commerce (e-commerce) to facilitate the acquisition and purchase process. Three Minimum Viable Products (MVP) were developed, as well as continuously implemented innovation management processes, supported by the Design Thinking approach and the C Model of Canvas. In unfolding, is the boosting of the startup Ecotur, with significant insertion in the local scene of innovative entrepreneurship, translated by the winning of several public notices, between 2020 and 2022, as well as by the company's indexes. Still within the project's traction processes, an innovation strategy centered on the 'RN in Box' subscription club was developed. The survey results indicate that it is possible to operate in the tourism segment and generate a positive socio-environmental impact.

The world was suddenly taken over by a technological evolution that transformed the
waypeople live, work and relate. Organizations like Uber, Amazon, Facebook, Google,
Spotifyand Airbnb have put traditional management thinking in check, while so many
othershave stood in the way of not keeping up with the new business dynamics. To keep
upwith this evolution, traditional companies have been looking for agile methodologies
totransform their form of management. According to PMI, inthe past 5 years, 71% of
organizations report using agile approaches to their projectssometimes, often or always.
In fact, between 2016 and 2017, one in five projects usedagile approaches, while another
in five used hybrid or combined approaches. Championshave a keen focus on using agile
approaches to projects - 55% versus 24% percentunderperforming. But just training the
teams and implementing agile methodologies is notenough to achieve the success of the
projects. Each organization has its own dysfunctions.It is also necessary to implement
an immersion process in the teams in order to observethem closely and understand how
they work, as Agile aims at some difficult goals suchas: satisfying customers through the
"satisfaction of constantly changing requirements",which is not met by simple execution
of agile practices. The objective of this master’s workis to develop a methodology that
facilitates the work of agents of change in the processof transforming the traditional
management model into agile, increasing the chances ofcompanies adapting to constant
technological and business changes, focusing on in thedevelopment of an Agile culture.

Brazilian universities have the purpose, in addition to teaching, to generate knowledge and disseminate knowledge. Public universities are responsible for conducting research, disseminating knowledge, as well as, through extension actions, acting beyond physical boundaries. The Triple Helix proposes harmonious operation to facilitate the flow of economic and financial resources, contributing to a structure favorable to productive interaction between universities, government and companies. Despite this, organizational environments that are internally prepared or that encourage interaction between the academic ecosystem and companies are rare. As a result, there are low rates of innovation and student experiences in activities in companies, high cost for the production and development of products and services. Prospect is a 10-step methodology that proposes to structure the communication of universities and companies through a framework that systematically uses challenges to develop the creative potential of students, generating greater opportunities for market applications and business solutions in a practical way , through a digital and physical platform. As a consequence, the student and the company may have a functional and innovative product that solves a real problem, be it a product or service.  

With the advent of the IV Industrial Revolution, the challenges of how countries develop, how organizations create value and the role of people in society intensify. In this direction, the exponentially accelerated pace of the 4.0 techno-economic paradigm demands agile responses for the appropriation of Digital Transformation. In the field of cost reduction and increased productivity of organizations, the issue gravitates in Information Systems - IS. Enterprise Resource Planning - ERP is an IS that favors the analysis of data and processes of an organization in a single system, from the integration of activities from different sectors, such as sales, finance, inventory and human resources. A study by the Brazilian Micro and Small Business Support Service reports that over the past three decades, micro and small businesses have been playing an increasingly strategic role in the Brazilian economy. In 2020, small businesses represented 30% of the country's Gross Domestic Product. It is within the window of opportunity of the Digital Transformation that the scientific-entrepreneur research effort of this work lies. The implementation and market traction of the startup General System Integrated - GSI is the core objective of this research. Of an applied nature, the methodological structure relied on the company's business modeling, as well as the frugal development of an ERP for bars and restaurants, the General System 2 - GS-2. The technological solution has essential and friendly features for the commercial segment. Additionally, GS-2 provides for compliance with the constant legal updates of the Federal Revenue, aimed at the functional requirements of the Electronic Consumer Invoice - NFC-e. The technological validation of the invention was carried out in an establishment in the city of Natal-RN. The lean, low-cost product, aimed at small businesses, was a strategy for GSI's insertion in the market. The main result of this work is the growing diffusion of the GSI brand, derived from customer satisfaction with the GS-2 innovation.

Technological development generates a plethora of new demands on schools, learners and educators. One of them is the proficiency in English, which offers benefits not only to society but also to individuals who become better able to acquire jobs and to advance in their careers. The English Proficiency Index (EPI) regards Brazilian population’s English skills as low and to enhance the current state of affairs educators must innovate and create new services. Codesign has the potential to be a viable alternative to seek innovation in this industry once it is defined as a novel way of creation in which both users and designer engage in a collaborative effort to generate and test ideas. Its process views the final users as partners who play active roles in the development of the technology that will be used in the future by them. The goal of this research was to use Codesign to generate new ideas for services in foreign language education by developing and validating a toolkit able to assist teachers and students to cocreate services for this line of activity. The effort of designing the toolkit consisted of reviewing activities used in design processes inside the North American tradition following its analysis and adaptation to make them meet the Codesign requirements related to active participation of final users. It was tested in an in-person workshop hosted by an independent foreign language school in João Pessoa, Brazil. The toolkit was successful in providing an innovative process to people who had not had any experience with Codesign in which they generated ideas in an efficient way and, by the end of this endeavor, they were able to create prototypes that were used and validated. It consists of a short handbook that provides instruction to the workshop facilitator, a slide deck to assist with visuals and handouts to the participants. The workshop will be offered as a service to the market and a Business Model Canvas were filled up taking into account the strategy of maintaining costs as low as possible and bootstrapping the investment necessary to grow.

The System for Calculating the Probability of Impact on Vessels by Aerospace Vehicles, SiCaPi, to be executed by the Barreira do Inferno Launch Center (CLBI), a Military Organization (OM) and Scientific and Technological Institution (ICT) subordinate to the Department of Aerospace Science and Technology (DCTA) of the Aeronautics Command (COMAER), in partnership with the Space Science, Applications and Technology Foundation (FUNCATE), consists of updating the computational methods for estimating flight safety parameters of operated suborbital vehicles in Brazilian launch centers, used by the Flight Safety Section (SVO) to calculate the probability of impacts from aerospace vehicles, or parts of them or their payload, on vessels that may be within the Free Evolution Zone (ZLE) ) of the Launch Center and, also, for the calculation of the risk to life related to this impact, aiming at meeting needs see in the operational exercises performed at CLBI. This proposal aims to meet the needs verified in the past operational exercises of CLBI, to mitigate the technological gap currently existing in the Flight Safety section, and, mainly, to minimize the sources of errors and human factors inherent to the processes and tasks performed during operations of launching, mitigating the technological gap existing in the systems for estimating security parameters, especially in the software responsible for calculating these parameters.Keywords: probability calculation, aerospace vehicles, free zone vessels.

The present dissertation presents a unique case study, analyzing by way of a qualitative and descriptive approach the impacts of the digital transformation in law firms, especially in the Costa Barros Advogados law firm, and its contribution to the struggle against the COVID-19 pandemic, and analyzing the strategies and technologies used, which characterize the  so called advocacy 4.0. The innovation is analyzed based on concepts from various authors and in the context of the current Brazilian legislation. The importance of a revision in the strategic planning of law firms to face the crisis provoked by the pandemic is demonstrated. This crisis scenario has impacted more than a million Brazilian lawyers which, in addition to the fact that Brazil holds 98% of labor suits in the world, contributes to the relevance of the present study, also being relevant the functioning period of the analyzed law firm, which spans more than 20 years and has promoted a self-transformation to stay competitive during the ongoing pandemic. This work presents the foundations of digital transformation in Brazil and in the legal field, addressing the characteristics of advocacy 4.0 and different aspects of artificial intelligence in the legal field. Considering that digital transformation is not only a matter of usage of technology, this work addresses the evolution of strategic planning and how the law firm being studied adapted to the new work conditions, especially in regards to home office, addressing many practical aspects of people management, planning and technologies which are being used in the aforementioned law firm. This work also presents how the culture of innovation and permanent learning of the team was formed, starting from the consolidation of purpose until the development of initiatives for value generation for the clients and for the team. At the end, with the so-called “natural generalization”, it is hoped that the content of the experience here described can contribute for the improvement of the digital transformation and longevity of other law offices.

The purpose of this research is to propose a data analysis tool to transform data into useful information for the teaching and learning process, through the use of educational data mining (EDM). Aiming at personalizing the educational context and offering knowledge for making pedagogical decisions in a strategic way, contributing to education 4.0. For this, the ideation process of the platform began, being carried out based on the literature
review and meetings with teachers. Then, the requirements gathering process began, being materialized through prototyping and beginning the implementation of the solution. Throughout the process, the Cross-Industry Standard Process of Data Mining (CRISP-DM) method was used. The results showed that the proposed tool can contribute to education 4.0. Through MDE it is possible to identify the profiles and predict the performance of students, with good reliability, before applying the assessment of the first unit. In addition, through the platform it will be possible to provide knowledge according to the objective of different educational actors, allow optimization of time for documents and assist in the assessment method, especially if it is continuous. With this, it will be possible to create
improvements in educational practices that encourage the achievement, motivation and retention of students in the subjects.

With devices aimed at stimulating scientific development, research, scientific and technological training and innovation, Law 13,243 of January 11, 2016 - known as the Legal Framework for Science, Technology and Innovation - impacts on Research, Development and Innovation - RD&I of Scientific, Technological and Innovation Institutions - ICT (from Portuguese: Instituições Científicas e Tecnológicas). The appropriation of the legal instrument by Brazilian ICT can translate into strengthening the country's competitiveness. It is within this legal demand that the window of opportunity for scientific-entrepreneurial research in this work is centered. In this direction, the objective of the study was to develop an agile management methodology, geared to the specificities of ICT, especially with regard to compliance with institutional and legal requirements, as well as in which it speeds up the different phases of RD&I projects. Within this purpose, (1) MS Project, Artia, Slack, Asana, Gantt Project management tools; (2) the Scrum agile methodology; (3) the Design Thinking creation approach and (4) the Technological Readiness Level methodology - TRL were studied. The effort of scientific-entrepreneurial research has generated Optimus, an Innovation Management Methodology aimed at optimizing RD&I projects for public ICT. In addition to monitoring compliance with ICT requirements, in the phases of (i) basic and applied research; (ii) technological development and (iii) innovation, Optimus informs the TRL of RD&I projects, which can be configured to mitigate investment risks. Optimus validation was performed with the Minimum Viable Product - MVP of the homonymous tool, under simulation, through its application in the SPACEVANT research project of the Barreira do Inferno Launch Center - CLBI. The analysis of the validation data showed that the use of Optimus offers speed of processing and simplification of internal procedures.

According to the World Economic Forum 65% of young people in primary education will work in professions that do not yet exist. A study commissioned by Dell Technologies for the Institute for the Future (IFTF) predicts that "thanks to technological advancement, by 2030, approximately 85% of the professions will be new, ie have not even been invented." With all the advancement and change we are going through, we need to understand how our young people will qualify to occupy these unfamiliar professions as we live in a dismal scenario of their backgrounds. Studies by the IDEB (Index of Development of Basic Education) show that the dropout each year is 575 thousand students - practically, every minute 1 student leaves a high school in Brazil. Specifically, in Rio Grande do Norte, in high school, the index has a score of 3.2 where the desired average is 7.0. It is important to have an intermediary between schools and students to increase interest in knowledge and reduce dropout, as well as prepare such students for non-existent professions. Thus, comes Scholae 3.0. Scholae means school in Latin and it is a new approach that aims to prepare high school students for the world: that of innovative entrepreneurship. It was applied to high school students at Professor Francisco Barbosa State School. The project actions were carried out in the inPACTA incubator, in the laboratories of the School of Science and Technology and also in the students' own school. The project methodology is anchored in the pillars of Lean Startup and the entrepreneurial logic of Effectuation. As a result of the research there is the application of three Entrepreneurial Modules that resulted in actions and participations in Entrepreneurial Education Seminars of ABENGE, Brazilian Association of Engineering Education and Science and Technology Week of UFRN, besides the interventions in the school itself as Sample Thematic and Knowledge Fair, aiming to awaken in public school students a new way of thinking based on the identification of opportunities and creation of startups. Scholae 3.0 aims to develop the student for today's world by empowering these young people in tools that awaken their entrepreneurial potential, to create well-defined sustaining goals while still young, favoring the implementation of ventures that can mature in their minds and lead them. understand that they play an important role in the present and future of the Society: employability and income generation for themselves and others.

Innovate is not an option, it has became an eminent necessity of all company’s sectors and trajectory. If one organization does not innovate it dies, also one society that is not innovative tend to not survive in a world so full of change. In face of this perspective, this work aim to develop a business with scalable technology base, replicable and competitive, linked to the financial system. Thus, it is fundamental a mobile app for management of sales through card machines, named Controli, once the process of manually consolidating the sales informations make it hard to the real control of the utilization of financial data. For example, the fact that the manager do not generate precise reports of sales and do not keep track of the real financial flow. To acomplish the goal, strattegic tools to stimulate criativity and innovation were applied to the Controli. Thereby, has been created one startup aligned with the necessities of the client?s segment and, mainly, with all the possible validation analysis of the market. Through the study, it was noticeable that Controli is efficient, mainly in relation to the real necessities of the clientes, because it showed that it is possible to achieve a better transparency of information to the comercial establishments and to the managers, specially when it comes to taxes charged by card operators.

In Brazil it was killed more than the Syrian war, with more than 60 thousand homicides in 2018, leading the ranking of intentional lethal violent crimes, despite the increasing investments in public security since the creation of the National Security Secretariat Public in 1997. The country also leads other types of crimes from all grades, from the smallest to the most heinous crimes. In this scenario, we sought to analyze the relationships between heinous crimes, against life and greater offensive potential with infractions, which are more common and routine, those with less offensive potential, such as the disturbance of the quiet of others, the use of data mining and Business Intelligence (BI). The ratio of 1: 15: 45: 415 was found, that for every 415 disorderly offenses, a crime against life occurs, reinforcing the ecological approaches to crime, the existence of a sequential development of crime, and an interconnection between disorder and the most serious crimes. Where each community will have its own development of police occurrences, being necessary the individual analysis of the local process of the sequence of the development of the crime.

In a globalized economy, where competition is growing rapidly across all industries, it has become essential for any organization to know what its customers crave and think. Today, customers are increasingly critical and demanding, and providing satisfaction to them is no easy task. Innovative companies, better known as Startups, have the mission of using all the technological resources and skilled manpower to develop solutions that solve the problems of the oldest organizations. Behind Startups, we find the entrepreneurs, with a vision of the future, can solve problems of other companies or suggest improvement in the processes, products or services that already exist. Gyms, like any other organization, need help to leverage business and find Startups the ability to solve customer capture and loyalty problems. Therefore, consumer satisfaction studies are now increasingly relevant, and widely discussed in both the academic and business communities. The main objective of this project was to develop a management platform for academies, with innovation in the tools of capture and relationship with customers and partners, through a system that allows the purchase of credits allowing to use them in the academies registered in the database of the platform . To achieve the proposed objectives, the methodology adopted was the qualitative research, with exploratory and descriptive characteristics, trying to describe the factors that contribute to student dissatisfaction in gymnastics academies. The research method used was the inductive one, checking the situation of a small gym and, consequently, positioning itself on the recommendations and improvements in the system of the Prepaid Academy. The results showed that Social Networks has the potential to define potential clients interested in the Platform proposal and new business opportunities were identified by inserting new liberal professionals into the Platform's ecosystem to work together using the site Prepaid Academy.

Human and animal waste as a source of renewable energy emerges as a new way to solve one of the major environmental problems faced by municipalities. In the urban area human waste needs to be directed and treated, as these are the main cause of sanitary diseases, in the rural area animal waste can be reused as fertilizers and biogas production for reuse in ovens. Bio-kerosene is a trend toward replacing petroleum kerosene in aviation, but it still needs advancements to minimize production costs. In order to construct a reflection on the subject, this work has as object of study the simulated development of a new technology for processing the tailings for the production of aviation bioquerosene. The overall goal was to simulate the operation of the process. To construct this analysis we developed two specific objectives: a) to construct the equipment of the study process b) to simulate and to validate the process. The results demonstrate that there is a great viability in the transformation of this biobased biomass of aviation. This technology was developed for macro-scale processing, where investment and operating costs are high, but can be improved for construction on a commercial scale.

In times of economical crisis, a business basically has two possible behaviors to succeed or, at least, to survive: adopting a conservative stance, through actions that are known to work or innovate, differing from what is established, and this way, get competitive advantage. Customer loyalty programmes fit well into the first profile and are universal, ranging from small drinking water distributors to major aviation or credit card companies. Providing a smartphone application to customers, while not exactly new, can still be framed in the innovative profile, mainly for small businesses. The purpose of this paper is to present Bandapp, an container of applications that aims to modernize Small Business Loyalty Programmes. Bandapp was developed by RN Soft using some of TRIZ's techniques, the Theory of Inventive Problem Solving, developed by the Russian researcher Genrich S. Altshuller.

The investment risk of a wind farm is heavily bound to the differences between the effective production and the estimated production during the project elaboration. Monitoring the functioning of wind farms is necessary in order to ensure their good performance. This paper discusses the creation of a product to a productive sector that necesses national technology. It will be presented the Windbox, a tool that allows the continuous monitoring of wind farms and that seeks efficience gain of such wind farms. In addition it will be emphasized the trajectory taken to create this solution as well as the results obtained up to the present moment and future perspectives.

Ubïo is a portable platform for capturing emotions. Emotions are invisible despite dominating our actions. We can lie about them, hide them, but never do without. They monitor our bodies and our lives. We want to make them visible to expand the field of creative possibilities and interaction with the world. The body is the most powerful creative multimedia platform ever created. Taking over this body becomes an essential step in creative and educational processes. However, this cognitive and physical knowledge must be developed to be accessible to the person through specific exercises and techniques, thus opening new creative paths. The objective of the Ubïo platform is to seek criteria and educational and artistic foundations in order to achieve new advances in terms of education, health and creativity. There is a real demand in the creative economy market for the development of personalized sensory tools. It is no longer about second-rate technologies, there is a real demand for technological innovation in this area. Ubïo will use the physiological data together to apply in various possible fields such as art, architecture, trade, art therapy. We can leverage this project to meet demands of various types and make the Ubïo platform a structure to house projects related to the body and meeting a strong demand for isolutions such as in the field of Intelligent Cities.

The emergence of educational initiatives that seek to foster entrepreneurship and           promote a culture of innovation in academia are indispensable for the development of             people and, consequently, for the development of the country. With this in mind,             Conectando Saberes - CS was born, a Entrepreneurial Education Program that           allowed the awakening of entrepreneurship in many people, enabled the emergence           of several actions and the consolidation of a methodology that was put into practice              in many institutions and obtained results real. This project report on Information and             Innovation Management aims to present the CS's process of ideation, its           development and the construction of its methodology for the creation of value            propositions. The funnel of the Professional Master in Science, Technology and           Innovation (MPI) allowed the founders of CS to mature and refine their methodology             making it capable of reaching more institutions and impacting more people. The            essence of the work lies in the formation of the so-called ninjas of innovation,              subjects with skills that allow it to act actively in identifying opportunities for             innovation in the environments that make up the triple helix (government, industry            and universities) and capable of presenting proposals for solutions and / or manage             teams for solutions to be developed. Finally, it presents the acknowledgments gained            and a case of application of the methodology, in addition to the training path of a                CInO - Chief Innovation Officer. 

This work presents a business management methodology and a viability analysis of a product/service in a Startup. This methodology was developed from the perception of steps and difficulties during the development of a hardware/software product focused on electrical power measuring and management. As a validation of the presented methodology, it was applied on the startup named "Potiguar Energy", but this methodology may also be applied to any other products on startups as well. The contents of the text describe: the innovation environment, the key concepts and difficulties presented on a startup environment also the challenges of building a hardware product for energy measure/management. The main purpose of this work is to create, validate and demonstrate an easy method, for technical designers, to understand and plan the whole business before it may turn in an inviable project due to mismanagement or elevated costs.

The purpose of this project was to create a computer system called the Integrated System of Prisons Rehabilitation (SIRESP), which works on a web platform, so as to facilitate information about the professional characteristics of detainees, under any prison system, open, semi- open and closed, for employers. The objective will be to publicize to society in general the economic advantages to the employer company regarding the hiring of those people who are incarcerated. In addition to advertising, there will be a professional assignment bank with the professional duties of prisoners, the system also includes a second database of periodic evaluations of prisoners who already work, in order to feed back information to the prison system in order to increase its efficiency. The project was developed with the assistance of the Secretariat of Re-socialization of the State of Pernambuco under the name of the Prerequisite Reorganization Program of the State of Pernambuco (PRORESPE). The source code was made in the city of Natal by another student of the Master of Science Technology and Innovation. SIRESP was developed with the objective of socially impacting the prison environment, as it generates benefits for the detainee, for employers and for society, since it tends to reduce criminal recidivism and consequently crime.

Additive manufacturing systems are a technology still in development, as technology applications weigh their advantages and constraints. The market for goods and products with a lot of credit gain 3D  rinting since this allows you to create objects, materialize projects, and add value through customization. However, it is necessary that a series of concepts for which they are interdependent, that are not applied in conspiracy increase the probability of failing and being poor quality in the impression. 3D printing is still not a widely used technology among small and micro businesses especially because they do not have the time and do not have recourse to learn a technology that may or may not be applicable to your business. Being a very versatile technology and with several sub-types of technology each with its advantages and disadvantages, specific treatments of VOID3D machine created to serve a market that needs quality machines with low cost, in order to make it widely used.

Since the invention of Tim Berner-Lee, the World Wide Web (WWW) in the 1990s, there has been a continual resize of how countries develop, how organizations create value and the role of people in society. In this scenario, connectivity favored business models based on organizational network arrangements that brought profound socioeconomic impacts. Within the concept of shared economy, companies such as uber, airbnb, netflix or spotify are the main players - respectively - in the transportation, accommodation, television and music markets, with modest tangible assets. No mercado da construção civil brasileiro, empreendimentos em rede chegam atingir faturamentos superiores a 200 milhões de reais por ano (TEXEIRA, 2012). Contudo, o mercado de produtos e de serviços da construção civil, bem como de decoração de ambientes, demandam melhorias no fluxo informacional tanto para os profissionais da área, quanto para os clientes finais. It is within this bias that the research aimed to diagnose these commercial relationships, as well as to develop strategies of connectivity and interactivity between different actors that compose the said market. From the study of shared economy technologies, customer experience and data mining, Simple Construction® methodology was developed - market management technology for civil construction and decoration services. Focused on the access of information, often imprisoned in some professional niches, as well as in the connectivity of all the actors of the business relations of the construction and interior decoration, the tool integrates the best functionalities of marketing, business modeling and design thinking. With a user-centered design, in order to configure itself as an active player in this ecosystem, in a dynamic and agile model, the minimum viable product was the Simple Design module, from the platform with the same name to the methodology.

The startups stand out in the middle of the other ventures given their focus on innovation and technology, being valued by the capacity of dynamization of the economy. With the increasing number of projects in recent years, it is important to create a tool that seeks to facilitate interaction between the parties involved in this process. Thus, the present study presents a model for the evaluation of startup maturity level, proposing the compilation of three known methodologies, in order to bring greater agility in relations between startups, investors, companies and institutions. This method will be made available in a virtual platform with distinct areas for each user segment, in an interactive and personalized way. The validation will be done in the InPacta-UFRN incubator, with 27 projects to be submitted by the masters of science, technology and innovation, where they will be evaluated, ranked and selected following the methodology developed. In order to obtain the desired results, the data collection will be carried out through the MVP developed during the master's degree and finally, the data will be analyzed through the proposed model and presenting the results and conclusions.

A great idea to tackle a real problem is a promise of a successful business model.  However, transforming it into reality is a hard long way run. Design Thinking, Lean Startup and Scrum are included in a long list of valuable approaches that have emerged to support entrepreneurs during their journey. In this work, we investigate the process of selecting business methodologies under entrepreneurs’ perspective, focussing on tech young entrepreneurs. Our findings have pointed out that this particular kind of entrepreneur is very susceptible to get into technological traps, dedicating excessive effort to product development activities. We propose an integrated approach that targets this phenomenon, which we named active paralysis, to help entrepreneurs to identifying technological traps and work on guidelines to overcome it. We applied our approach in Brazilian tech startups of different areas and present in this the results we have achieved.

The demand for methods of detecting pathogens through DNA analysis has been growing in several areas, molecular biology is not restricted to human health applications, agribusiness, for example, has several applications for this technology. However, the high cost of detection systems by polymerase chain reaction (PCR), make difficult the insertion of these techniques in the agribusiness. Therefore, the need to develop for these markets, products and services that offer a viable solution, is something prominent, solutions that apply protocols for low cost reactions, create management system that integrate management of the analysis and management of the routine processes of a laboratory, offer a way to solve this problem. Using software development methods with consolidated programming languages and frameworks, such as RUBY, PYTHON and Ruby on Rails, we also use the concept of minimum viable product (MVP) for prototyping and a business modeling methodology that is currently the most used in the startups market, the Business Model Canvas. With the support of these methodologies we obtained as a result an indication for market orientation, a WEB system capable of managing the inputs, the samples of a routine, the reactions used in the analyzes and the results of these samples. All with the security, availability and redundancy offered by WEB systems. Added to this is the creation of a desktop software tool to aid the process of analyzing the samples and sending the results to the server whenever there is an internet connection.The validation of this prototype occurred in a company focused on agribusiness. Thus, it is concluded that the MOLBIT system offers the market a service capable of implementing a viable molecular analysis routine for the agribusiness segment, making this technology accessible to companies in this field.

Sustainable socioeconomic development is based on the accumulation of technological capacity driven by the diffusion of the culture of innovation. In 2004, faced with this context and the demand for reducing the gap between Brazilian scientific and technological production, Law No 10,973 of 2004 was passed - Law of Innovation. In 2016, the Innovation Law was resized by Law No 13.243 of 2016 - known as Legal Framework in Science, Technology and Innovation. Within this legal demand, the research efforts of this work aimed to develop strategies of diffusion of the culture of Innovation. Specifically, in one of the pillars of technological capacity accumulation: the higher education. The research, of a descriptive and exploratory nature, of the scientific bias, carried out analyzes on the trajectory of the Brazilian science, technology and innovation ecosystem and on education technologies, exploring their functionalities and weaknesses, as well as studies on design tools and methodology implementation. With regard to technological development, the tools studied were applied to create the methodology ICAS (Instrumentalize – Connect – Assess – Solve. From Portuguese, Instrumentalizar – Conectar – Analisar – Solucionar), that is focused on the appropriation of the perception of the role of science, technology and innovation in the socioeconomic dynamics in higher education. The technological validation was obtained from the use of the methodology by the Thematic Chamber of Technological Business of the School of Sciences and Technology of the Federal University of Rio Grande do Norte. In addition, the ICAS methodology can be scalable and replicable in other segments of the organizations that make up the triple helix (universities, companies and government sectors). Besides that, within the scope of generating innovation culture, the design of a research, innovation and private development agency was developed, based on the analysis of the legal framework of support institutions as well as funding and development agencies; and a methodology of public management, through the Business Model Canvas tool.

Paper documents are being replace in different areas every day and, for any activity that requires authenticity, these new digital forms need to assure the same guaranties as the physical document does, i.e., authorship, authenticity, chronological evidence and integrity. In this research we analyze a viable use of available technologies to solve this evidenced issue. In medical reports for image exams, the use of a Picture Archive Communications System (PACS) allow the medical reports to be emitted remotely but it alone does not guarantee any of the security measurements for non-repudiation. The results presented in this work were obtained from an Integrative Literature Review and make evidence that the digital signatures model, based on asymmetric cryptography, help solve this issue when a solution implementation does not change the installed DICOM/PACS environment and makes it possible for an easy emitter check without the possibility of repudiation, within the local legislation.

Ethical, legal, and technical limitations compromise the studies of human anatomy. Vieria et al (2013) and Marrey Neto (2006) show that a high maintenance cost, the difficulty in obtaining bodies and the risk that conservation materials present to the health of those who come in contact with them in anatomical laboratories constitute obstacles to the study of anatomy through traditional methods. Still, a scenario analysis based on interviews with healthcare professionals, identified that synthetic anatomical models sometimes do not have the realism desired for certain applications. It is within this context that resides the research project centered on the development of solutions for training and diagnostics in the healthcare area from prototyping processes. In order to transform the idea into a business, the project was based on the Design Thinking methodology. In order to understand the relationship of individuals with the problem, interviews were conducted based on the Value Proposition Canvas, and the conversion of the problem into a business was done using the Business Model Canvas. With the purpose of validating the proposals elaborated, three products were developed for evaluation by clients and professionals of the area. From the feedback received, it could be concluded that the proposed products and services have market adherence and represent a potential innovation in the way of teaching, practicing, planning and conducting health procedures.

The current work sought to develop a Canvas Business Model using the concepts of technological innovation and entrepreneurship learned in the MPI. Such concepts were applied to agricultural production systems in different regions of Rio Grande do Norte state, using the Moringa oleifera cropping promoting the reforestation of degraded areas, with turned to be useful for production of food derived from moringa leaves, in addition to vegetable oil and byproducts for the treatment of water, which were obtained from the their processed seeds, in order to diversify the sources of income, elaborating products of innovative potential with as much derivatives of the plant as possible. The proposed models can be replicated in other regions, taking into account the three pillars of sustainability: Economic viability, Social Responsibility and Environmental Compliance. Organic agriculture is an activity that concerns these parameters and, to do so, it depends on the production of agricultural fertilizers that comes from both animal and vegetable wastes. This practice, when certified by authorized institutions, values the product in relation to those coming from conventional agriculture. For accomplishing the desired objectives, there were performed a couple of “extension actions”, carried out with UFRN researchers, agricultural consulting and a "Managing Internship" in the rural property of the organic farm called Hortaviva, located in the Rural Area of Nísia Floresta-RN and certified by by the Biodynamic Institute – IBD audit. During the internship, the farm expanded its cultivated area so that the culture of the moringa could be introduced, intercropping with several short cycle plants, using different cropping methods. Dehydrated leaves were marketed in the form of leaf powder, tea and capsules. The oily seed, once processed, gave rise to a vegetable oil used in the production of biodiesel and a byproduct so called "moringa oilcake", from which a water purifying agent (biocide), branded as Biolarv – Natural Larvicide. A brand mark was registered at the Instituto Nacional de Propriedade Industrial -INPI by the Núcleo de Inovação Tecnológica (NIT / UFRN). This natural biocide was developed to exterminate larvae of the mosquito Aedes aegypti, transmitter diseases such as Dengue, Zika and Chikungunya virus.

Compete with the major players in the Market is not easy, however starturps have been assuming an important role in the global economy. In this perspective, this work aims to show the potential of a startup and its technology, compared to market players and their similar technologies, mainly aspects such as technological, financial and marketing viability. To achieve this goal, we chose an exploratory and experimental research, based on bibliographic and digital references, as well as field research. In this way, we seek to describe the similar meteorological technologies in Brazil and in the world, as well as the representatives and manufacturers of these technologies, within the scope of current meteorological stations and dataloggers. Moreover, we seek to present the startup and developed technology relating to market players and their existing similar technologies, taking into account issues of technological and financial feasibility and to analyze the applications of the technology developed considering startup and its target markets as well as other sectors. Thus, this work is important for the development of innovation, science and technology.

From the beginning of the modern administration, beginning of the twentieth century, companies of the most diverse segments adopted rational techniques aimed at the control and the quality in their productive processes. These techniques focus on waste reduction through the elimination of errors (Gomes, 2005). With the technological advance of the last years, companies have faced increasingly fierce competition, demanding faster changes and a more flexible work processes (Silva, 2008). In the face of this new reality, the management of innovation became the business tonic and companies that demonstrate greater flexibility in their processes started to gain larger market shares (Pereira, 2005). However, it is observed that the quality addressed at the beginning of research and innovation can be interpreted as contradictory, since quality aims to eliminate error and innovation, accept error as a learning and improvement tool. Faced with this paradox between quality management and innovation management, there is a dilemma: How to combine these factors, quality management and innovation management? Throughout this work will be presented situations in which innovation and quality can be confronted especially in software development projects. The research aims to design a management framework that allows innovation and quality to be exchanged. As a way to validate the proposed framework, the work approaches software projects in which the author was directly responsible for its design, and thus the research is characterized as exploratory and descriptive according to Flick (2004), in which the construction of the reality based on interviews and / or the observation of field and people. The technique used was observation with a structured script. The technology developed was validated from its application in different projects, which shows the feasibility of its implementation.