IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p2780-d760100.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/2780/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/2780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2018. "Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies," Information Systems Research, INFORMS, vol. 29(4), pages 849-870, December.
    2. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    3. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.
    4. Liangfei Qiu & Subodha Kumar & Arun Sen & Atish P. Sinha, 2022. "Impact of the Hospital Readmission Reduction Program on hospital readmission and mortality: An economic analysis," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2341-2360, May.
    5. Yue Jin & Yong Tan & Jinghua Huang, 2022. "Managing contributor performance in knowledge‐sharing communities: A dynamic perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 3945-3962, November.
    6. Johannes Loh & Tobias Kretschmer, 2023. "Online communities on competing platforms: Evidence from game wikis," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 441-476, February.
    7. Jiahe Chen & Yi-Chen Lan & Yu-Wei Chang & Po-Ya Chang, 2019. "Exploring Doctors’ Willingness to Provide Online Counseling Services: The Roles of Motivations and Costs," IJERPH, MDPI, vol. 17(1), pages 1-12, December.
    8. Jing Wang & Gen Li & Kai-Lung Hui, 2022. "Monetary Incentives and Knowledge Spillover: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 68(5), pages 3549-3572, May.
    9. Wei Zhao & Qianqian Ben Liu & Xitong Guo & Tianshi Wu & Subodha Kumar, 2022. "Quid pro quo in online medical consultation? Investigating the effects of small monetary gifts from patients," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1698-1718, April.
    10. Zhijun Yan & Lini Kuang & Liangfei Qiu, 2022. "Prosocial behaviors and economic performance: Evidence from an online mental healthcare platform," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3859-3876, October.
    11. Jingchuan Pu & Yang Liu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2022. "What Questions Are You Inclined to Answer? Effects of Hierarchy in Corporate Q&A Communities," Information Systems Research, INFORMS, vol. 33(1), pages 244-264, March.
    12. Lena Abou El-Komboz & Anna Kerkhof & Johannes Loh, 2023. "Platform Partnership Programs and Content Supply: Evidence from the YouTube “Adpocalypse”," CESifo Working Paper Series 10363, CESifo.
    13. Chen, Xiaomeng & Forman, Christopher & Kummer, Michael E., 2021. "Chat more and contribute better: An empirical study of a knowledge-sharing community," ZEW Discussion Papers 21-061, ZEW - Leibniz Centre for European Economic Research.
    14. Agnieszka Zablocki & Bodo Schlegelmilch & Michael J. Houston, 2019. "How valence, volume and variance of online reviews influence brand attitudes," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 61-77, June.
    15. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    16. Zhihong Ke & De Liu & Daniel J. Brass, 2020. "Do Online Friends Bring Out the Best in Us? The Effect of Friend Contributions on Online Review Provision," Information Systems Research, INFORMS, vol. 31(4), pages 1322-1336, December.
    17. Anna Kerkhof & Johannes Münster, 2021. "Detecting Coverage Bias in User-Generated Content," CESifo Working Paper Series 8844, CESifo.
    18. Ashutosh Tiwari & Timothy J. Richards, 2016. "Social Networks and Restaurant Ratings," Agribusiness, John Wiley & Sons, Ltd., vol. 32(2), pages 153-174, April.
    19. Jiangjiang Guo & Ting Ji & Wenqian Zhang & Lingfeng Dong, 2023. "Understanding Sustained Knowledge Contribution from a Motivation Crowding Perspective: A Case Study in a Chinese Q&A Community," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    20. Mohammed Hussen Alemu & Søren Bøye Olsen, 2020. "An analysis of the impacts of tasting experience and peer effects on consumers’ willingness to pay for novel foods," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 653-674, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2780-:d:760100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.