Influential Factors in Extraversion Mediated by Reputation in Social Networks in University Students

Olger Gutierrez-Aguilar, Ygnacio Tomaylla-Quispe, Aleixandre Brian Duche-Pérez, Sandra Chicana-Huanca

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Social networks promote a strong association between extraversion and reputation among university students, especially in those who study professional careers related to solid exposure to digital media. The study’s primary goal is to identify the exogenous variables in online reputation-mediated extraversion. The methodology used corresponds to a non-experimental investigation, and a questionnaire with three well-defined parts was applied. The first was adapted to the Big Five Inventory for factors related to personality; the second part was an adaptation of the proposal by Jeremy Francis for creative thinking skills; and the third part, an adaptation of the proposal by Mosharrof Hosen for variable reputation in social networks; the study units were 330 students in the advertising and multimedia technologies career. In the reliability analysis of the applied instrument, the results were (n = 24; α = 0.935 ω = 0.941). Validity tests were performed using exploratory and confirmatory factor analysis, and model validity and hypothesis tests were performed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that there are outstanding factors in extraversion in university students, the most outstanding exogenous variables being responsibility and openness to experience.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems - ICITS 2023
EditoresÁlvaro Rocha, Carlos Ferrás, Waldo Ibarra
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas10
ISBN (versión impresa)9783031332609
EstadoPublicada - 2023
EventoInternational Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú
Duración: 24 abr. 202326 abr. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen692 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389


ConferenciaInternational Conference on Information Technology and Systems, ICITS 2023


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