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The Impact of Physician’s Login Behavior on Patients’ Search and Decision in OHCs

  • Qin Chen
  • Xiangbin YanEmail author
  • Tingting Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11924)

Abstract

With the dramatic development of Web2.0, the occurrence of online health communities (OHCs) appeals to increasing number of patients and physicians to involve in this type of healthcare platform. Extant literatures have primarily discussed the various influential factors of patients’ choices in OHCs. However, scant studies have been conducted to explore the effect of physicians’ login behavior on patients’ choices, and the roles of physicians’ online reputation and offline reputation. Drawing on the signaling theory, a two-equation model was proposed and tested using collected data from a Chinese OHC to examine the effects of physician’s login behavior on patients’ search and decision, and the moderation effects of physician’s online reputation and offline reputation. The results indicate that physicians’ login behavior has positive effects on patients’ search and decision. Furthermore, physicians’ online reputation and offline reputation moderate these positive relationships. Especially, the moderation effect of offline reputation is higher than online reputation in the search stage, and lower in the decision stage. This study not only enriches the literature on patient behavior, but also advances the understanding of physicians’ login behavior in OHCs. The results have implications for the management of OHCs.

Keywords

Online health community Login behavior Search Decision Online reputation Offline reputation 

References

  1. 1.
    Wang, X., Zuo, Z., Zhao, K.: The Evolution of User Roles in Online Health Communities – A Social Support Perspective (2015)Google Scholar
  2. 2.
    Song, X.: Research on Social Relationships and Competition Behavior of Patient in Online Health Communities, Harbin Institute of Technology (2015)Google Scholar
  3. 3.
    Marx, G.T.: So surveillance: e growth of mandatory volunteerism in collecting personal information—“Hey buddy can you spare a DNA?”. In: Surveillance and Security, pp. 49–68. Routledge (2006)Google Scholar
  4. 4.
    Fichman, R.G., Kohli, R., Krishnan, R.: Editorial overview—the role of information systems in healthcare: current research and future trends. Inf. Syst. Res. 22(3), 419–428 (2011)CrossRefGoogle Scholar
  5. 5.
    Akçura, M.T., Ozdemir, Z.D.: A strategic analysis of multi-channel expert services. J. Manage. Inf. Syst. 34(1), 206–231 (2017)CrossRefGoogle Scholar
  6. 6.
    Yang, H., Guo, X., Wu, T.: Exploring the Influence of the online physician service delivery process on patient satisfaction. Decis. Support Syst. 78, 113–121 (2015)CrossRefGoogle Scholar
  7. 7.
    Yang, H., et al.: Exploring the effects of patient-generated and system-generated information on patients’ online search, evaluation and decision. Electron. Commer. Res. Appl. 14(3), 192–203 (2015)CrossRefGoogle Scholar
  8. 8.
    Li, Y., Wu, T., Wu, H.: The impact of reviews of physicians on patient choice (2016)Google Scholar
  9. 9.
    Lu, N., Wu, H.: Exploring the impact of word-of-mouth about physicians’ service quality on patient choice based on online health communities. BMC Med. Inform. Decis. Mak. 16(1), 151 (2016)CrossRefGoogle Scholar
  10. 10.
    Cao, X., et al.: Online selection of a physician by patients: empirical study from elaboration likelihood perspective. Comput. Hum. Behav. 73, 403–412 (2017)CrossRefGoogle Scholar
  11. 11.
    Lagu, T., et al.: Patients’ evaluations of health care providers in the era of social networking: an analysis of physician-rating websites. J. Gen. Intern. Med. 25(9), 942–946 (2010)CrossRefGoogle Scholar
  12. 12.
    Zhou, J., et al.: Using Reputation to Predict Online Psychological Counselor Appointment: Evidence from a Chinese Website. ACM (2018)Google Scholar
  13. 13.
    Liu, X., et al.: The impact of individual and organizational reputation on physicians’ appointments online. Int. J. Electron. Commer. 20(4), 551–577 (2016)CrossRefGoogle Scholar
  14. 14.
    Liu, F., Li, Y., Ju, X.: Exploring patients’ consultation behaviors in the online health community: the role of disease risk. Telemedicine e-Health 25(3), 213–220 (2019)CrossRefGoogle Scholar
  15. 15.
    Wu, H., Lu, N.: Service provision, pricing, and patient satisfaction in online health communities. Int. J. Med. Informatics 110, 77–89 (2018)CrossRefGoogle Scholar
  16. 16.
    Liu, F., Guo, X., Ju, X., Han, X.: Exploring the effects of different incentives on doctors’ contribution behaviors in online health communities. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds.) ICSH 2018. LNCS, vol. 10983, pp. 90–95. Springer, Cham (2018).  https://doi.org/10.1007/978-3-030-03649-2_9CrossRefGoogle Scholar
  17. 17.
    Guo, S., et al.: How doctors gain social and economic returns in online health-care communities: a professional capital perspective. J. Manage. Inf. Syst. 34(2), 487–519 (2017)CrossRefGoogle Scholar
  18. 18.
    Wu, H., Lu, N.: How your colleagues’ reputation impact your patients’ odds of posting experiences: evidence from an online health community. Electron. Commer. Res. Appl. 16, 7–17 (2016)CrossRefGoogle Scholar
  19. 19.
    Wang, J., Xiao, N., Rao, H.R.: An exploration of risk information search via a search engine: queries and clicks in healthcare and information security. Decis. Support Syst. 52(2), 395–405 (2012)CrossRefGoogle Scholar
  20. 20.
    Liu, G., Zhou, L., Wu, J.: What affects patients’ online decisions: an empirical study of online appointment service based on text mining. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds.) ICSH 2018. LNCS, vol. 10983, pp. 204–210. Springer, Cham (2018).  https://doi.org/10.1007/978-3-030-03649-2_20CrossRefGoogle Scholar
  21. 21.
    Wang, X., Zhao, K., Street, N.: Analyzing and predicting user participations in online health communities: a social support perspective. J. Med. Internet Res. 19(4), e130 (2017)CrossRefGoogle Scholar
  22. 22.
    Wang, L., et al.: Modeling physicians’ dynamic behaviors in an online healthcare community: an empirical study using a vector autoregression approach (2017)Google Scholar
  23. 23.
    Yan, Z., et al.: Knowledge sharing in online health communities: a social exchange theory perspective. Inf. Manage. 53(5), 643–653 (2016)CrossRefGoogle Scholar
  24. 24.
    Yu, H., Xiang, K., Yu, J.: Understanding a moderating effect of physicians’ endorsement to online workload: an empirical study in online health-care communities. IEEE (2017)Google Scholar
  25. 25.
    Gao, G.G., et al.: A digital soapbox? the information value of online physician ratings (2011)Google Scholar
  26. 26.
    Guo, S., et al.: Doctor–patient relationship strength’s impact in an online healthcare community. Inf. Technol. Develop. 24(2), 279–300 (2018)CrossRefGoogle Scholar
  27. 27.
    Gregg, D.G., Scott, J.E.: The role of reputation systems in reducing on-line auction fraud. Int. J. Electron. Commer. 10(3), 95–120 (2006)CrossRefGoogle Scholar
  28. 28.
    Liu, X.-X.: The impact of online doctor reputation and doctor effort on consultation amount, Harbin Institute of Technology (2014)Google Scholar
  29. 29.
    Liang, Q., Luo, F., Wu, Y.: The impact of doctor’s efforts and reputation on the number of new patients in online health community. Chin. J. Health Policy 10(10), 63–71 (2017)Google Scholar
  30. 30.
    Stiglitz, J.E.: Information and the change in the paradigm in economics. Am. Econ. Rev. 92(3), 460–501 (2002)CrossRefGoogle Scholar
  31. 31.
    Spence, M.: Signaling in retrospect and the informational structure of markets. Am. Econ. Rev. 92(3), 434–459 (2002)CrossRefGoogle Scholar
  32. 32.
    Evans, R.G.: Supplier-induced demand: some empirical evidence and implications. In: Perlman, M. (ed.) The Economics of Health and Medical Care. IEAS, pp. 162–173. Palgrave Macmillan UK, London (1974).  https://doi.org/10.1007/978-1-349-63660-0_10CrossRefGoogle Scholar
  33. 33.
    Ba, S., Pavlou, P.A.: Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior. MIS Q. 26(3), 243–268 (2002)CrossRefGoogle Scholar
  34. 34.
    Shapiro, C.: Premiums for high quality products as returns to reputations. Q. J. Econ. 98(4), 659–679 (1983)MathSciNetCrossRefGoogle Scholar
  35. 35.
    Gao, G., et al.: The information value of online physician ratings. Working Paper (2011)Google Scholar
  36. 36.
    Li, Y., et al.: Exploring the effects of online rating and the activeness of physicians on the number of patients in an online health community. Telemedicine e-Health (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Donlinks School of Economics and ManagementUniversity of Science and TechnologyBeijingChina

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