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Banca de QUALIFICAÇÃO: AYSLANE COSTA DA SILVA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : AYSLANE COSTA DA SILVA
DATE: 13/09/2022
TIME: 09:30
LOCAL: meet.google.com/gpe-oqdu-ytp
TITLE:

PERSONALITY TRAITS AND INFORMATION PROCESS AFFECTING TOURIST'S PRODUCTS/SERVICES PURCHASE INTENTION 


KEY WORDS:

BIG FIVE PERSONALITY TRAITS; HEURISTIC-SYSTEMATIC MODEL; PURCHASING INTENTION.


PAGES: 81
BIG AREA: Ciências Sociais Aplicadas
AREA: Turismo
SUMMARY:

Personalization is a process of creating and adjusting customer services and experiences related to individual customer needs, preferences, tastes, or constraints in the context of dynamic changes in the customer's environment. Changes in technology also affect tourists' expectations regarding information services and the purchase intention process. Thus, this thesis constitutes an exploratory study which proposes a model that aims to investigate how tourist personality factors (Big Five Personality Traits) moderate the tourist information processing due the purchasing intention of tourist's products/services in Online Social Networks. (OSN). To investigate this reality, the present work analyzes through the combination of TRA (Theory of Rational Action), HSM (Heuristic-Systematic Model) and the Big Five PersonalityTrais, the tourist's information process in Online Social Networks through two routes (heuristic and systematic), proposed as a heuristic route, the reliability of the UGC and as systematic route, the quality of the argument in the UGC, both influencing credibility, consequently verifying the direct relationship between credibility of the information, and the big five affecting the attitude and  tourist's products/services purchase intention. The research is descriptive-exploratory, based on the hypothetical-deductive method, with a quantitative approach. The positivist and pragmatic paradigms are accepted as research's paradigm because they allow the application of the design of quantitative methods to meet the explanatory and confirmatory objectives of the study and also  support the idea of individuality and dependence on the context of tourist needs, within the scope of purchase of products/services in OSN. As data analysis technique, it is intended to use statistical analysis (exploratory factor analysis and structural equation modeling - SEM), to test relationships between constructs based on their assigned indicators, with the support of the Statistical Package for the Social Sciences (SPPS) software and AMOS for processing and analysis of collected data.


COMMITTEE MEMBERS:
Externo à Instituição - ANDRÉ RIANI COSTA PERINOTTO - UFDPar
Presidente - 2001718 - LUIZ AUGUSTO MACHADO MENDES FILHO
Interno - 1160199 - SERGIO MARQUES JUNIOR
Notícia cadastrada em: 25/08/2022 15:07
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