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Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning

This study develops a theoretical model that highlights the determinants of actual social media (SM) usage for travel planning by combining theoretical frameworks from the marketing, psychology and information systems literature. The data was collected through field as well as online survey in India...

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Detalles Bibliográficos
Autores principales: Sakshi, Tandon, Urvashi, Ertz, Myriam, Bansal, Harbhajan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568860/
https://www.ncbi.nlm.nih.gov/pubmed/33100435
http://dx.doi.org/10.1016/j.techsoc.2020.101438
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author Sakshi
Tandon, Urvashi
Ertz, Myriam
Bansal, Harbhajan
author_facet Sakshi
Tandon, Urvashi
Ertz, Myriam
Bansal, Harbhajan
author_sort Sakshi
collection PubMed
description This study develops a theoretical model that highlights the determinants of actual social media (SM) usage for travel planning by combining theoretical frameworks from the marketing, psychology and information systems literature. The data was collected through field as well as online survey in India. An online survey questionnaire link was shared on different social media platforms and social networking sites. Besides, field visits were carried out to collect data in-person through face-to-face interviews. The final sample consists of 539 observations. Structural Equation Modelling (SEM) was applied to validate the hypothesized relationships among constructs. The results suggest that technological convenience and perceived enjoyment influence the perceived ease of using SM for travel planning. In turn, perceived ease of use impacts perceived usefulness, along with media richness. Perceived ease of use and perceived usefulness, along with trust positively influence intentions to use SM for travel planning, while perceived risk inhibits those intentions. However, trust increases perceived usefulness and mitigates perceived risk. Importantly, intentions exert a strong impact on actual use. This study contributes to the literature by presenting and validating a theory-driven framework that unveils the factors influencing actual usage of SM for travel planning. The proposed theoretical framework emphasizes the key relationships among factors and provides a research basis for development in other contexts.
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spelling pubmed-75688602020-10-19 Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning Sakshi Tandon, Urvashi Ertz, Myriam Bansal, Harbhajan Technol Soc Article This study develops a theoretical model that highlights the determinants of actual social media (SM) usage for travel planning by combining theoretical frameworks from the marketing, psychology and information systems literature. The data was collected through field as well as online survey in India. An online survey questionnaire link was shared on different social media platforms and social networking sites. Besides, field visits were carried out to collect data in-person through face-to-face interviews. The final sample consists of 539 observations. Structural Equation Modelling (SEM) was applied to validate the hypothesized relationships among constructs. The results suggest that technological convenience and perceived enjoyment influence the perceived ease of using SM for travel planning. In turn, perceived ease of use impacts perceived usefulness, along with media richness. Perceived ease of use and perceived usefulness, along with trust positively influence intentions to use SM for travel planning, while perceived risk inhibits those intentions. However, trust increases perceived usefulness and mitigates perceived risk. Importantly, intentions exert a strong impact on actual use. This study contributes to the literature by presenting and validating a theory-driven framework that unveils the factors influencing actual usage of SM for travel planning. The proposed theoretical framework emphasizes the key relationships among factors and provides a research basis for development in other contexts. Elsevier Ltd. 2020-11 2020-10-18 /pmc/articles/PMC7568860/ /pubmed/33100435 http://dx.doi.org/10.1016/j.techsoc.2020.101438 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Sakshi
Tandon, Urvashi
Ertz, Myriam
Bansal, Harbhajan
Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning
title Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning
title_full Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning
title_fullStr Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning
title_full_unstemmed Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning
title_short Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning
title_sort social vacation: proposition of a model to understand tourists’ usage of social media for travel planning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568860/
https://www.ncbi.nlm.nih.gov/pubmed/33100435
http://dx.doi.org/10.1016/j.techsoc.2020.101438
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