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Information and Communication Technologies in Tourism 2018 pp 200–213Cite as

The Role of Perceived Online Social Capital in Predicting Travel Information Engagement

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Abstract

By combining perceived online social capital and the Elaboration Likelihood Model (ELM) of persuasion, this study constructed an integrated model to explore the antecedents and consequences of online social capital in travel information engagement on social media. Data (N = 578) were collected through Web-based survey and paper-and-pencil survey in China. Results of Structural Equation Modelling (SEM) supported that both bridging and bonding social capital contributed significantly positive effects to consumer engagement on social media. The two forms of social capital were positively influenced by argument quality and perceived information usefulness. Source credibility positively affected bonding social capital but had no effect on bridging social capital. The findings also show that bridging social capital is more effective in predicting consumer engagement than bonding social capital.

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Author information

Authors and Affiliations

  1. Graduate School of International Media, Communication, and Tourism Studies, Hokkaido University, Sapporo, Japan

    Junjiao Zhang

  2. Research Faculty of Media and Communication, Hokkaido University, Sapporo, Japan

    Naoya Ito

  3. School of Media Science, Northeast Normal University, Changchun, China

    Jihong Liu

Authors
  1. Junjiao Zhang
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  2. Naoya Ito
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  3. Jihong Liu
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Corresponding author

Correspondence to Junjiao Zhang .

Editor information

Editors and Affiliations

  1. School of Hospitality and Tourism Management, University of Surrey, Guildford, United Kingdom

    Brigitte Stangl

  2. Business School, Centre for Tourism Studies, University of Eastern Finland, Kuopio, Finland

    Juho Pesonen

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Zhang, J., Ito, N., Liu, J. (2018). The Role of Perceived Online Social Capital in Predicting Travel Information Engagement. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_16

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