research-article

Explaining the adoption of social networks sites for sharing user-generated content

Authors:

Hctor San Martn,

Mara del Mar Garcia-De los SalmonesAuthors Info & Claims

Computers in Human Behavior, Volume 71, Issue C

Pages 209 - 217

https://doi.org/10.1016/j.chb.2017.02.007

Published: 01 June 2017 Publication History

Abstract

Despite the outstanding growth of social network sites in recent years, more research is needed to better understand how users' intentions to share their experiences with products and brands are formed through these applications. With this in mind, this study takes the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) as a reference and develops an extended model by considering the substitution of price value with privacy concerns, since social network sites are free applications, with no economic cost to users but with potential problems of self-disclosure. Our model also includes the interrelations between the explanatory variables postulated in the UTAUT2, an issue that is not considered in its original formulation. This approach is empirically tested through a quantitative study in the tourism industry, where social network sites have significant influence. The results from a sample of 537 tourists show that there are three main drivers of users' intentions to use social network sites to publish content about their experiences: performance expectancy, hedonic motivation, and habit. Additionally, our results support the existence of interrelations between the explanatory variables. Finally, three of the factors studied (i.e., facilitating conditions, social influence, and privacy concerns) do not have any influence on the intention to use social network sites to share content. Intention to share user-generated content in SNS is determined by performance expectancy.Intention to share user-generated content in SNS is determined by hedonic motivation.Intention to share user-generated content in SNS is determined by habit.There are causal interrelations between the explanatory variables included in UTAUT2.

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cover image Computers in Human Behavior

Computers in Human Behavior Volume 71, Issue C

June 2017

591 pages

ISSN:0747-5632

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 June 2017

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Cited By

Bayrak CLiman-Kaban A(2024)Understanding the adoption and usage of gamified web tools by K-12 teachers in Turkey: A structural equation modelEducation and Information Technologies10.1007/s10639-024-12825-629:18(24759-24781)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s10639-024-12825-6
Kassim NMohamad WHashim N(2023)The Effect of the COVID-19 Pandemic on the Mobile Messaging Application Among Millennials in Public Universities in MalaysiaInternational Journal of Enterprise Information Systems10.4018/IJEIS.31580618:1(1-21)Online publication date: 6-Jan-2023
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Javdan MGhasemaghaei MAbouzahra M(2023)Psychological barriers of using wearable devices by seniorsComputers in Human Behavior10.1016/j.chb.2022.107615141:COnline publication date: 1-Apr-2023
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Vimalkumar MSharma SSingh JDwivedi Y(2021)‘Okay google, what about my privacy?’Computers in Human Behavior10.1016/j.chb.2021.106763120:COnline publication date: 1-Jul-2021
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