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The influence of social value and self-congruity on interpersonal connections in virtual social networks by Gen-Y tourists
Fundación Universitaria Konrad Lorenz, Bogotá, Colombia.ORCID iD: 0000-0002-6386-7483
Departamento de Administración de Empresas y Marketing, Universidad de Sevilla, Sevilla, Spain.
Departamento de Administración de Empresas y Marketing, Universidad de Sevilla, Sevilla, Spain.
2019 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 14, no 6, article id e0217758Article in journal (Refereed) Published
Abstract [en]

This research focuses on the relationship of self-congruity and perceived social value with the interpersonal connections established by Generation Y tourists in virtual social networks. A quantitative study was performed using a sample of young travelers from Spain. The methodologies of Confirmatory Factor Analysis (CFA) and Structural Equation Models (SEM) were used to analyze the results. The findings of the research show that self-congruity influences the perceived social value; the perceived social value leads to satisfaction and the creation of interpersonal connections in virtual social networks; and the interpersonal connections in virtual social networks influence the use of these tools by Generation Y travelers.

Place, publisher, year, edition, pages
Public Library of Science (PLoS), 2019. Vol. 14, no 6, article id e0217758
Keywords [en]
article, confirmatory factor analysis, human, satisfaction, social network, Spain, structural equation modeling, tourism, travel, adult, female, human relation, male, questionnaire, social psychology, Humans, Interpersonal Relations, Social Networking, Social Values, Surveys and Questionnaires
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-60079DOI: 10.1371/journal.pone.0217758ISI: 000470970000015PubMedID: 31185016Scopus ID: 2-s2.0-85067012669OAI: oai:DiVA.org:hj-60079DiVA, id: diva2:1749787
Available from: 2023-04-11 Created: 2023-04-11 Last updated: 2023-04-11Bibliographically approved

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Luna-Cortés, Gonzalo

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  • nn-NB
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Output format
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