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Knowledge collaboration among physicians in online health communities: A transactive memory perspective

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  • Wu, Hong
  • Deng, Zhaohua

Abstract

Knowledge teams have emerged in online health communities (OHCs) where physicians collaborate spontaneously with others through the Internet to gather knowledge. Knowledge collaboration (KC) facilitates physicians’ communication and the provision of better services to patients in today's medical environment. However, the underlying mechanism through which KC improves team performance in OHCs is not clear. This study aims to advance understanding of the KC process by exploring the role of the transactive memory system (TMS). Real operation data from 1071 teams in a leading OHC in China used to understand both the antecedent and consequences of the TMS and the interaction effects among different dimensions of TMS. The findings have demonstrated that leader's capital was a critical factor in KC by promoting the effective TMS development and further affect both team's process and outcome performance. Positive moderating effects of coordination on the relationship between credibility and performance are also found. This study reveals for the first time the role of KC in improving performance in online health markets from the TMS perspective. The findings provide theoretical guidance to physician–physician collaborative teams with guidelines on boosting chances for higher performance.

Suggested Citation

  • Wu, Hong & Deng, Zhaohua, 2019. "Knowledge collaboration among physicians in online health communities: A transactive memory perspective," International Journal of Information Management, Elsevier, vol. 49(C), pages 13-33.
    • Handle: RePEc:eee:ininma:v:49:y:2019:i:c:p:13-33
    DOI: 10.1016/j.ijinfomgt.2019.01.003
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    Citations

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    Cited by:

    1. Adnan Muhammad Shah & Wazir Muhammad & Kangyoon Lee & Rizwan Ali Naqvi, 2021. "Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System," IJERPH, MDPI, vol. 18(21), pages 1-23, October.
    2. Jilong Zhang & Jin Zhang & Kanliang Wang & Wei Yan, 2023. "Should doctors use or avoid medical terms? The influence of medical terms on service quality of E-health," Electronic Commerce Research, Springer, vol. 23(3), pages 1775-1805, September.
    3. Qing Ye & Hong Wu, 2023. "Offline to online: The impacts of offline visit experience on online behaviors and service in an Internet hospital," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    4. Liu, Huiyuan & Perera, Sandun C. & Wang, Jian-Jun, 2023. "Does the physicians’ medical team joining behavior affect their performance on an online healthcare platform? Evidence from two quasi-experiments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    5. Hong Wu & Zhaohua Deng & Bin Wang & Sumeet Gupta, 2021. "How does service price influence patients’ decisions? An examination of the free-market pricing mechanism in online health communities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 877-893, December.
    6. Liu, Huiyuan & Perera, Sandun C. & Wang, Jian-Jun & Leonhardt, James M., 2023. "Physician engagement in online medical teams: A multilevel investigation," Journal of Business Research, Elsevier, vol. 157(C).

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