This paper is in the following e-collection/theme issue:

Telehealth and Telemonitoring (1671) Cost-Effectiveness and Economics (252)

Published on in Vol 19, No 12 (2017): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9082, first published .
Understanding a Nonlinear Causal Relationship Between Rewards and Physicians’ Contributions in Online Health Care Communities: Longitudinal Study

Understanding a Nonlinear Causal Relationship Between Rewards and Physicians’ Contributions in Online Health Care Communities: Longitudinal Study

Understanding a Nonlinear Causal Relationship Between Rewards and Physicians’ Contributions in Online Health Care Communities: Longitudinal Study

Authors of this article:

Jying-Nan Wang1 Author Orcid Image ;   Ya-Ling Chiu1 Author Orcid Image ;   Haiyan Yu1, 2, 3 Author Orcid Image ;   Yuan-Teng Hsu4 Author Orcid Image
Article Authors Cited by (43) Tweetations (9) Metrics

Journals

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  14. Chiu Y, Wang J, Yu H, Hsu Y. Consultation Pricing of the Online Health Care Service in China: Hierarchical Linear Regression Approach. Journal of Medical Internet Research 2021;23(7):e29170 View
  15. Qi T, Wang T, Yan J. The spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior. Internet Research 2021;31(6):2143 View
  16. Chen Q, Jin J, Yan X. Understanding physicians' motivations for community participation and content contribution in online health communities. Online Information Review 2023;47(3):604 View
  17. Dang Y, Guo S, Song H, Li Y. Setting goal difficulty in monetary incentives to physicians: evidence from an online health knowledge-sharing platform. Information Technology & People 2024;37(2):605 View
  18. Xia S, Zhang Z, Fu S, Chen X. Measuring knowledge contribution performance of physicians in online health communities: A BP neural network approach. Journal of Information Science 2024;50(6):1382 View
  19. Hsu Y, Chiu Y, Wang J, Liu H. Impacts of physician promotion on the online healthcare community: Using a difference-in-difference approach. DIGITAL HEALTH 2022;8:205520762211063 View
  20. Lu Y, Wang Q. Doctors’ Preferences in the Selection of Patients in Online Medical Consultations: An Empirical Study with Doctor–Patient Consultation Data. Healthcare 2022;10(8):1435 View
  21. Zhang T, Chen Q, Wang W, Wei Y. Understanding Physicians’ Motivation to Provide Healthcare Service Online in the Digital Age. International Journal of Environmental Research and Public Health 2022;19(22):15135 View
  22. Sun Y, Yu J, Chiu Y, Hsu Y. Can online health information sources really improve patient satisfaction?. Frontiers in Public Health 2022;10 View
  23. Cao S, Gao X, Niu S, Wei Q, Jiang L. A Comparison Study of Doctor-Patient Internet Interactions in Traditional and Modern Medicine: Empirical Evidence from Online Healthcare Communities. Evidence-Based Complementary and Alternative Medicine 2022;2022:1 View
  24. Yin Q, Fan H, Wang Y, Guo C, Cui X. Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health Communities. International Journal of Environmental Research and Public Health 2022;19(5):2780 View
  25. Zhang Y, Qiu C, Zhang J. A Research Based on Online Medical Platform: The Influence of Strong and Weak Ties Information on Patients’ Consultation Behavior. Healthcare 2022;10(6):977 View
  26. Wei X, Hsu Y. Extracting Additional Influences From Physician Profiles With Topic Modeling: Impact on Ratings and Page Views in Online Healthcare Communities. Frontiers in Psychology 2022;13 View
  27. Hu Y, Zhou H, Chen Y, Yao J, Su J. The influence of patient-generated reviews and doctor-patient relationship on online consultations in China. Electronic Commerce Research 2023;23(2):1115 View
  28. Hsu Y, Duan R, Chiu Y, Wang J. Understanding the Inequality of Web Traffic and Engagement in Online Healthcare Communities. Frontiers in Public Health 2022;10 View
  29. Yu H, Yang C, Yu P, Liu K, Patel S. Emotion diffusion effect: Negative sentiment COVID-19 tweets of public organizations attract more responses from followers. PLOS ONE 2022;17(3):e0264794 View
  30. Chen J, Hsu P, Chang Y, Shiau W, Lan Y. For free or paid? A comparison of doctors' intention to offer consulting services in eHealth. Industrial Management & Data Systems 2022;122(8):1816 View
  31. Ye Q, Wu H. Offline to online: The impacts of offline visit experience on online behaviors and service in an Internet hospital. Electronic Markets 2023;33(1) View
  32. Liu H, Zhang Y, Li Y, Albright K. Better interaction performance attracts more chronic patients? Evidence from an online health platform. Information Processing & Management 2023;60(4):103413 View
  33. Chen Q, Jin J, Zhang T, Yan X. Investigating physician churn in online health communities from a social influence perspective. Aslib Journal of Information Management 2024;76(6):974 View
  34. Yu H, Zuo X, Tang J, Fu Y. Identifying causal effects of the clinical sentiment of patients' nursing notes on anticipated fall risk stratification. Information Processing & Management 2023;60(6):103481 View
  35. Yu H, Chiu Y, Wang J, Yu J, Hsu Y. Electronic consultation accessibility influence on patient assessments: A case–control study with user-generated tags of physician expertise. DIGITAL HEALTH 2023;9 View
  36. Zhao H, Cao X. Who is Facing Higher Increased Demand After the Online-Offline Channel Integration? Evidence from Public Hospitals in China. Risk Management and Healthcare Policy 2023;Volume 16:2635 View
  37. Lei L, Hu S. Do peers really influence doctors' knowledge contribution behavior? Evidence from online health communities. Aslib Journal of Information Management 2023 View
  38. Zhuo X, Wang W. Why are physicians willing to contribute knowledge? Evidence from online health communities. Computers in Human Behavior 2024;152:108095 View
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  40. Jiang H, Mi Z, Xu W. Online Medical Consultation Service–Oriented Recommendations: Systematic Review. Journal of Medical Internet Research 2024;26:e46073 View
  41. Chen D, Han W, Yang Y, Pan J. Doctors’ Personal Preference and Adoption of Mobile Apps to Communicate with Patients in China: Qualitative Study. JMIR mHealth and uHealth 2024;12:e49040 View
  42. Wang Y, Shi C, Wang X, Meng H, Chen J. The Relationship Between Static Characteristics of Physicians and Patient Consultation Volume in Internet Hospitals: Quantitative Analysis. JMIR Formative Research 2024;8:e56687 View