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Users’ health information sharing behavior in social media: an integrated model

Author

Listed:
  • Chenjin Jia

    (Universiti Sains Malaysia)

  • Hu Qi

    (Leshan Normal University)

Abstract

This study aimed to investigate the factors that influence WeChat users’ health information-sharing intentions by developing an integrated model drawing upon Social Capital Theory, Social Support Theory, and Theory of Reasoned Action. An online survey was conducted with 353 WeChat users, whose responses were analyzed to get the following outcomes. First, the results indicated that subjective norms and attitudes significantly influence health information sharing intention, which indicated that having a positive attitude towards the information and being influenced by the norms of the group to maintain positive social and interpersonal relationships affect sharing intentions. Secondly, all three dimensions of social capital contributed positively towards developing subjective norms and attitudes. However, trust was found not to considerably impact the health information sharing intention, unlike previous research. These findings provide valuable insights into comprehending health information-sharing behavior and have practical implications for interventions aimed at promoting health information sharing on social media.

Suggested Citation

  • Chenjin Jia & Hu Qi, 2024. "Users’ health information sharing behavior in social media: an integrated model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04188-7
    DOI: 10.1057/s41599-024-04188-7
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    References listed on IDEAS

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    1. Yang Chen, 2020. "An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    2. Shao, Zhen & Pan, Zhengyuan, 2019. "Building Guanxi network in the mobile social platform: A social capital perspective," International Journal of Information Management, Elsevier, vol. 44(C), pages 109-120.
    3. Oded Nov & Mor Naaman & Chen Ye, 2010. "Analysis of participation in an online photo‐sharing community: A multidimensional perspective," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(3), pages 555-566, March.
    4. Li, Yibai & Wang, Xuequn & Lin, Xiaolin & Hajli, Mohammad, 2018. "Seeking and sharing health information on social media: A net valence model and cross-cultural comparison," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 28-40.
    5. Christine Moser & Dirk Deichmann, 2021. "Knowledge sharing in two cultures: the moderating effect of national culture on perceived knowledge quality in online communities," European Journal of Information Systems, Taylor & Francis Journals, vol. 30(6), pages 623-641, November.
    6. Lin, Xiaolin & Wang, Xuequn, 2020. "Examining gender differences in people’s information-sharing decisions on social networking sites," International Journal of Information Management, Elsevier, vol. 50(C), pages 45-56.
    7. Hajli, M. Nick, 2014. "The role of social support on relationship quality and social commerce," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 17-27.
    8. Rasa Smaliukienė & Svajonė Bekešienė & Eugenijus Chlivickas & Marius Magyla, 2017. "Explicating the role of trust in knowledge sharing: a structural equation model test," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(4), pages 758-778, July.
    9. Oded Nov & Mor Naaman & Chen Ye, 2010. "Analysis of participation in an online photo-sharing community: A multidimensional perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(3), pages 555-566, March.
    10. Chang, Cheng-Ching & Huang, Mu-Hsuan, 2020. "Antecedents predicting health information seeking: A systematic review and meta-analysis," International Journal of Information Management, Elsevier, vol. 54(C).
    11. Wenna Wang & Yulin Zhang & Beilei Lin & Yongxia Mei & Zhiguang Ping & Zhenxiang Zhang, 2020. "The Urban-Rural Disparity in the Status and Risk Factors of Health Literacy: A Cross-Sectional Survey in Central China," IJERPH, MDPI, vol. 17(11), pages 1-12, May.
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