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Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities

Author

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  • Qiuju Yin

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100089, China
    Sustainable Development Research Institute for Economy and Society of Beijing, Beijing 100081, China)

  • Haoyue Fan

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100089, China)

  • Yijie Wang

    (School of Foreign Languages, Tianjin Normal University, Tianjin 300387, China)

  • Chenxi Guo

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100089, China)

  • Xingzhi Cui

    (International Department, Beijing 101 Middle School, Beijing 100084, China)

Abstract

Background: Little research has studied the peer effect of physicians and patients in online health communities (OHCs) simultaneously. The study investigates the impact of the focal physician’s peers (F-peers) on the focal physician (F-physician), and the impact of patients of the focal physician’s peers (F-P-patients) on the focal physician’s patients (F-patients). Moreover, based on brand extension and accessible–diagnosable theories, this study explores the moderating effects of the intensity of F-peers’ knowledge sharing behavior and department reputation. Methods: This study collects data of 3297 physicians and related patients from Haodf.com platform between January 2019 and December 2019. Both two-way fixed effect and panel negative binomial regression are adopted to quantify the effects. Results: Results show that the behavior of F-peers positively affects the behavior of the F-physician, while the behavior of F-P-patients positively affects the behavior of F-patients. Moreover, both the intensity of F-peers’ knowledge sharing behavior and department reputation have a compound moderating effect. Conclusions: This study contributes to the literature of peer effects by constructing the conceptual framework of different types of individual participation behaviors in OHCs. The findings offer practical guides for establishing an incentive mechanism and formulating peer incentives or competition strategies in OHCs.

Suggested Citation

  • Qiuju Yin & Haoyue Fan & Yijie Wang & Chenxi Guo & Xingzhi Cui, 2022. "Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2780-:d:760100
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    as
    1. Tom Fangyun Tan & Serguei Netessine, 2019. "When You Work with a Superman, Will You Also Fly? An Empirical Study of the Impact of Coworkers on Performance," Management Science, INFORMS, vol. 65(8), pages 3495-3517, August.
    2. Xiaoting Xu & Honglei Li & Shan Shan, 2021. "Understanding the Health Behavior Decision-Making Process with Situational Theory of Problem Solving in Online Health Communities: The Effects of Health Beliefs, Message Credibility, and Communication," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    3. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
    4. Ravi Bapna & Akhmed Umyarov, 2015. "Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks," Management Science, INFORMS, vol. 61(8), pages 1902-1920, August.
    5. Paulo B. Goes & Chenhui Guo & Mingfeng Lin, 2016. "Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange," Information Systems Research, INFORMS, vol. 27(3), pages 497-516, September.
    6. Yang, Yefei & Zhang, Xiaofei & Lee, Peter K.C., 2019. "Improving the effectiveness of online healthcare platforms: An empirical study with multi-period patient-doctor consultation data," International Journal of Production Economics, Elsevier, vol. 207(C), pages 70-80.
    7. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
    8. Yumei Li & Xiangbin Yan, 2020. "How Could Peers in Online Health Community Help Improve Health Behavior," IJERPH, MDPI, vol. 17(9), pages 1-17, April.
    9. Junjie Zhou & Tingting Fan, 2019. "Understanding the Factors Influencing Patient E-Health Literacy in Online Health Communities (OHCs): A Social Cognitive Theory Perspective," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
    10. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.
    11. Yacheng Sun & Xiaojing Dong & Shelby McIntyre, 2017. "Motivation of User-Generated Content: Social Connectedness Moderates the Effects of Monetary Rewards," Marketing Science, INFORMS, vol. 36(3), pages 329-337, May.
    12. Ambrose, Scott C. & Matthews, Lucy M. & Rutherford, Brian N., 2018. "Cross-functional teams and social identity theory: A study of sales and operations planning (S&OP)," Journal of Business Research, Elsevier, vol. 92(C), pages 270-278.
    13. Ming-Yan Wang & Peng-Zhu Zhang & Cheng-Yang Zhou & Neng-Ye Lai, 2019. "Effect of Emotion, Expectation, and Privacy on Purchase Intention in WeChat Health Product Consumption: The Mediating Role of Trust," IJERPH, MDPI, vol. 16(20), pages 1-19, October.
    14. Xiaoquan (Michael) Zhang & Feng Zhu, 2011. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia," American Economic Review, American Economic Association, vol. 101(4), pages 1601-1615, June.
    15. Kosuke Uetake & Nathan Yang, 2020. "Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program," Marketing Science, INFORMS, vol. 39(3), pages 487-499, May.
    16. Lu Yan & Yong Tan, 2014. "Feeling Blue? Go Online: An Empirical Study of Social Support Among Patients," Information Systems Research, INFORMS, vol. 25(4), pages 690-709, December.
    17. Wei Le & Po-Ya Chang & Yu-Wei Chang & Jiahe Chen, 2019. "Why Do Patients Move from Online Health Platforms to Hospitals? The Perspectives of Fairness Theory and Brand Extension Theory," IJERPH, MDPI, vol. 16(19), pages 1-13, October.
    18. David Dranove & Anne Gron & Michael J. Mazzeo, 2003. "Differentiation and Competition in HMO Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 51(4), pages 433-454, December.
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