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Understanding Continuance Intention Determinants to Adopt Online Health Care Community: An Empirical Study of Food Safety

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  • Jinxin Yang

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Din Jong

    (Department of Digital Design and Information Management, Chung Hwa University of Medical Technology, Tainan 717, Taiwan)

Abstract

The purpose of this research is to determine whether users’ social interaction tie and trust have a mediating effect on the willingness to use the online healthcare community (OHC) platform on an ongoing basis to respond to food safety crises and monitor food safety practices. During the three-month survey, we conducted an online investigation of users who had experience sharing on the OHC platform and were concerned about food safety. Thereby, three hundred and fifty-two valid questionnaires were received and partial least squares was adopted in this study to test the proposed hypotheses. The empirical results show that perceived critical mass, image, and para-social interaction strengthen the social interaction tie between users and the food safety platform. In addition, this study found that social interaction tie and trust of OHC platform users increased users’ willingness to continue using the OHC platform. This research provides OHC platform managers with an in-depth understanding of online social interactions on food safety pages. Moreover, the results of this study can help food business owners, government regulators, hospitals, and physicians to improve the way they use the Web for opinion-led food safety crises and provide insight into the intent of promoting the ongoing use of OHC platforms.

Suggested Citation

  • Jinxin Yang & Din Jong, 2021. "Understanding Continuance Intention Determinants to Adopt Online Health Care Community: An Empirical Study of Food Safety," IJERPH, MDPI, vol. 18(12), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6514-:d:576408
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    References listed on IDEAS

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    1. Gong, Yingli & Wang, Hongwei & Xia, Qiangwei & Zheng, Lijuan & Shi, Yunxiang, 2021. "Factors that determine a Patient's willingness to physician selection in online healthcare communities: A trust theory perspective," Technology in Society, Elsevier, vol. 64(C).
    2. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Astrid Kemperman & Pauline van den Berg & Minou Weijs-Perrée & Kevin Uijtdewillegen, 2019. "Loneliness of Older Adults: Social Network and the Living Environment," IJERPH, MDPI, vol. 16(3), pages 1-16, January.
    5. Sokolova, Karina & Kefi, Hajer, 2020. "Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    6. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    7. Kenneth E. Boulding, 1956. "General Systems Theory--The Skeleton of Science," Management Science, INFORMS, vol. 2(3), pages 197-208, April.
    8. Xuhui Wang & Frida Pacho & Jia Liu & Redempta Kajungiro, 2019. "Factors Influencing Organic Food Purchase Intention in Developing Countries and the Moderating Role of Knowledge," Sustainability, MDPI, vol. 11(1), pages 1-18, January.
    9. Shiell, Alan & Hawe, Penelope & Kavanagh, Shane, 2020. "Evidence suggests a need to rethink social capital and social capital interventions," Social Science & Medicine, Elsevier, vol. 257(C).
    10. Yi Yong Lee & Chin Lay Gan, 2020. "Applications of SOR and para-social interactions (PSI) towards impulse buying: the Malaysian perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(2), pages 85-98, June.
    11. Shen, Xiao-Liang & Cheung, Christy M.K. & Lee, Matthew K.O., 2013. "Perceived critical mass and collective intention in social media-supported small group communication," International Journal of Information Management, Elsevier, vol. 33(5), pages 707-715.
    12. Eun-Ho Kim & Dongho Yoo & Sun-Jae Doh, 2021. "Self-construal on brand fan pages: the mediating effect of para-social interaction and consumer engagement on brand loyalty," Journal of Brand Management, Palgrave Macmillan, vol. 28(3), pages 254-271, May.
    13. Per Block & Marion Hoffman & Isabel J. Raabe & Jennifer Beam Dowd & Charles Rahal & Ridhi Kashyap & Melinda C. Mills, 2020. "Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world," Nature Human Behaviour, Nature, vol. 4(6), pages 588-596, June.
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