Skip to main content
Log in

How does service price influence patients’ decisions? An examination of the free-market pricing mechanism in online health communities

  • Research Paper
  • Published:
Electronic Markets Aims and scope Submit manuscript

Abstract

In online health communities (OHCs) in China, physicians can provide online diagnostic services and use the free-market pricing mechanism to price their service so as to encourage quality service. By collecting publicly available patient behavior data for three months for 7726 physicians (with 154,512 records) on an OHC in China, we use the negative binomial model and ordinary least square to empirically investigate the influences of service price on a patient’s sequent decisions including search, purchase, and review based on the medical resource scarcity and social exchange frameworks, and examine how disease risk moderates the magnitude of these effects. Our results show that service price is positively related to patients’ information search and review quality, but negatively related to their purchase and review decisions. In addition, the impacts of service price differ for severe versus mild diseases. Our research contributes to a better understanding of the free-market pricing mechanism on OHCs and provides practical implications for a physician’s pricing strategy in the online environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. In this study, we only research the scarcity problem for high-quality human resources.

  2. http://2016.coschina.org/2016/cn/ 21st Congress of Chinese Ophthalmological Society, Suzhou, China, September 07–11, 2018.

  3. Interaction in our research context refers to an information exchange between a patient and a physician.

  4. Some physicians have provided free services if they wish for certain patients.

References

  • Akter, S., D’Ambra, J., & Ray, P. (2010). Service quality of Mhealth platforms: development and validation of a hierarchical model using PLS. Electronic Markets, 20(3–4), 209–227. https://doi.org/10.1007/s12525-010-0043-x

  • Akter, S., Ray, P., & D’Ambra, J. (2013). Continuance of mHealth services at the bottom of the pyramid: the roles of service quality and trust. Electronic Markets, 23(1), 29–47. https://doi.org/10.1007/s12525-012-0091-5

  • Association, C. M. D. (2016). Nearly 150 Million People in China Suffer from Skin Diseases. Retrieved June 10, 2019, from http://world.people.com.cn/n1/2016/0812/c57506-28632376.html

  • Bai, J. (2018). How to evaluate medical titles of physicians. People’s daily. Retrieved June 10, 2019, from http://www.medsci.cn/article/show_article.do?id=d09014261909

  • Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660

  • Biswas, D., & Biswas, A. (2004). The diagnostic role of signals in the context of perceived risks in online shopping: Do signals matter more on the web? Journal of Interactive Marketing, 18(3), 30–45. https://doi.org/10.1002/dir.20010

  • Blau, P. (1964). Power and exchange in social life (p. 352). New York: Wiley.

    Google Scholar 

  • Blumenstock, J. E. (2008). Size matters: Word count as a measure of quality on Wikipedia. Proceedings of the 17th international conference on World Wide Web, China, 1095–1096. https://doi.org/10.1145/1367497.1367673

  • Bock, G. W., & Kim, Y. G. (2002). Breaking the myths of rewards: An exploratory study of attitudes about knowledge sharing. IGI Global.

  • Bock, G.-W., Zmud, R. W., Kim, Y.-G., & Lee, J.-N. (2005). Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29, 87–111. https://doi.org/10.2307/25148669

  • Bolle, S., van Weert, J. C., Daams, J. G., Loos, E. F., de Haes, H. C., & Smets, E. M. (2015). Online health information tool effectiveness for older patients: a systematic review of the literature. Journal of Health Communication, 20(9), 1067–1083. https://doi.org/10.1080/10810730.2015.1018637

  • Boss, S. R., Galletta, D. F., Lowry, P. B., Moody, G. D., & Polak, P. (2015). What do systems users have to fear? Using fear appeals to engender threats and fear that motivate protective security behaviors. MIS Quarterly, 39(4), 837–864.

    Article  Google Scholar 

  • Cao, X., Liu, Y., Zhu, Z., Hu, J., & Chen, X. (2017). Online selection of a physician by patients: empirical study from elaboration likelihood perspective. Computers in Human Behavior, 73, 403–412. https://doi.org/10.1016/j.chb.2017.03.060  

  • Chang, T. Z., & Wildt, A. R. (1994). Price, product information, and purchase intention: an empirical study. Journal of the Academy of Marketing Science, 22(1), 16–27. https://doi.org/10.1177/0092070394221002

  • Chen, F., & Hu, Y. (2011). Pay attention to the new features of medical disputes. Health News. Retrieved June 10, 2019, from http://www.jkb.com.cn/thinkingDiscussion/2011/1222/127617.html

  • China, N. B. o. S. o. (2017). Cause of Death for Residents in China. Retrieved June 10, 2019, from http://data.stats.gov.cn/easyquery.htm?cn=C01

  • Chou, S., Min, H., Chang, Y., & Lin, C. (2010). Understanding continuance intention of knowledge creation using extended expectation–confirmation theory: an empirical study of Taiwan and China online communities. Behaviour & Information Technology, 29(6), 557–570. https://doi.org/10.1080/01449290903401986

  • Conrad, D. A., Sales, A., Liang, S. Y., Chaudhuri, A., Maynard, C., Pieper, L., Weinstein, L., Gans, D., & Piland, N. (2002). The impact of financial incentives on physician productivity in medical groups. Health Services Research, 37(4), 885–906.  https://doi.org/10.1034/j.1600-0560.2002.57.x

  • Dagger, T. S., Sweeney, J. C., & Johnson, L. W. (2007). A hierarchical model of health service quality: scale development and investigation of an integrated model. Journal of Service Research, 10(2), 123–142. https://doi.org/10.1177/1094670507309594

  • Dawar, N., & Parker, P. M. (1994). Marketing universals: consumers’ use of brand name, price, physical appearance, and retailer reputation as signals of product quality. Journal of Marketing, 58(2), 81–95. https://doi.org/10.1177/002224299405800207

  • DBA, D. C. B. (1996). Consumer perceptions of price, value and satisfaction in the hotel industry. Journal of Hospitality & Leisure Marketing, 4(1), 5–22. https://doi.org/10.1300/J150v04n01_02

  • Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119–134. https://doi.org/10.1086/209386

  • Einhorn, H. J., & Hogarth, R. M. (1981). Behavioral decision theory: processes of judgement and choice. Annual Review of Psychology, 32(1), 53–88. https://doi.org/10.1146/annurev.ps.32.020181.000413

  • Emerson, R. M. (1976). Social exchange theory. Annual Review of Sociology, 2(7), 335–362. https://doi.org/10.1146/annurev.so.02.080176.002003

  • Erickson, G. M., & Johansson, J. K. (1985). The role of price in multi-attribute product evaluations. Journal of Consumer Research, 12(2), 195–199. https://doi.org/10.1086/208508

  • Garner, S. J. (1986). Perceived risk and information sources in services purchasing. The Mid-Atlantic Journal of Business, 24(2), 49–58.

    Google Scholar 

  • Gregg, D. G., & Walczak, S. (2008). Dressing your online auction business for success: an experiment comparing two Ebay businesses. MIS Quarterly, 32(3), 653–670. https://doi.org/10.2307/25148860

  • Grewal, D., Krishnan, R., Baker, J., & Borin, N. (1998). The effect of store name, brand name and price discounts on consumers’ evaluations and purchase intentions. Journal of Retailing, 74(3), 331–352. https://doi.org/10.1016/S0022-4359(99)80099-2 .

  • Guo, S., Guo, X., Fang, Y., & Vogel, D. (2017). How doctors gain social and economic returns in online health-care communities: a professional capital perspective. Journal of Management Information Systems, 34(2), 487–519. https://doi.org/10.1080/07421222.2017.1334480

  • Haodf. (2019). Content Management Statement. Retrieved June 10, 2019, from https://www.haodf.com/info/eula.php

  • Harviainen, J. T., Ojasalo, J., & Kumar, S. N. (2018). Customer preferences in mobile game pricing: a service design based case study. Electronic Markets, 28(2), 191–203. https://doi.org/10.1007/s12525-018-0285-6

  • Juster, F. T., & Stafford, F. P. (1991). The allocation of time: empirical findings, behavioral models, and problems of measurement. Journal of Economic Literature, 29(2), 471–522.

    Google Scholar 

  • Kale, P., & Singh, H. (2009). Managing strategic alliances: what do we know now, and where do we go from here? Academy of Management Perspectives, 23(3), 45–62. https://doi.org/10.5465/amp.2009.43479263

  • Kankanhalli, A., Tan, B. C., & Wei, K.-K. (2005). Contributing knowledge to electronic knowledge repositories: an empirical investigation. MIS Quarterly., 29, 113–143. https://doi.org/10.2307/25148670

  • Kim, H. W., Xu, Y., & Gupta, S. (2012). Which is more important in internet shopping, perceived price or trust? Electronic Commerce Research & Applications, 11(3), 241–252. https://doi.org/10.1016/j.elerap.2011.06.003  

  • Krishnamurthi, L. (1992). Asymmetric response to price in consumer brand choice and purchase quantity decisions. Journal of Consumer Research, 19(3), 387–400. https://doi.org/10.1086/209309

  • Li, X., & Hitt, L. M. (2010). Price effects in online product reviews: an analytical model and empirical analysis. MIS Quarterly, 34(4), 809–831. https://doi.org/10.2307/25750706

  • Lu, N., & Wu, H. (2016). Exploring the impact of word-of-mouth about physicians’ service quality on patient choice based on online health communities. BMC Medical Informatics & Decision Making, 16(1), 151. https://doi.org/10.1186/s12911-016-0386-0

  • Molm, L. D. (1997). Coercive power in social exchange. Cambridge University Press.

  • Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on Amazon.Com. MIS Quarterly, 34(1), 185–200. https://doi.org/10.2307/20721420

  • Narasimhan, R., Nair, A., Griffith, D. A., Arlbjørn, J. S., & Bendoly, E. (2009). Lock-in situations in supply chains: a social exchange theoretic study of sourcing arrangements in buyer–supplier relationships. Journal of Operations Management, 27(5), 374–389. https://doi.org/10.1016/j.jom.2008.10.004

  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41–50. https://doi.org/10.1177/002224298504900403

  • Qiang, Y., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180–182. https://doi.org/10.1016/j.ijhm.2008.06.011

  • Rao, A. R., & Monroe, K. B. (1989). The effect of price, brand name, and store name on buyers’ perceptions of product quality: an integrative review. Journal of Marketing Research, 26(3), 351–357. https://doi.org/10.1177/002224378902600309

  • Richardson, P. G., Dick, A., & Jain, A. K. (1994). Extrinsic and intrinsic cue effects on perceptions of store brand quality. Journal of Marketing, 58(4), 28–36. https://doi.org/10.1177/002224299405800403

  • Shah, A. K., & Oppenheimer, D. M. (2008). Heuristics made easy: an effort-reduction framework. Psychological Bulletin, 134(2), 207–222. https://doi.org/10.1037/0033-2909.134.2.207

  • Smith, M. D., & Brynjolfsson, E. (2001). Consumer decision-making at an internet Shopbot: brand still matters. Journal of Industrial Economics, 49(4), 541–558. https://doi.org/10.1111/1467-6451.00162

  • Song, Y., Wu, H., Ma, J., & Lu, N. (2019). Exploring the dynamic influences and interaction effects of signals on backers’ investment in the crowdfunding market. Information Technology & People, 33(2), 792–812. https://doi.org/10.1108/ITP-04-2019-0174

  • Theysohn, S., Klein, K., Völckner, F., & Spann, M. (2013). Dual effect-based market segmentation and price optimization. Journal of Business Research, 66(4), 480–488. https://doi.org/10.1016/j.jbusres.2011.11.007  

  • Waldman, D. A., Ramírez, G. G., House, R. J., & Puranam, P. (2001). Does leadership matter? Ceo leadership attributes and profitability under conditions of perceived environmental uncertainty. Academy of Management Journal, 44(1), 134–143. https://doi.org/10.5465/3069341

  • Wang, X. (2015). Large Hospitals Are Overwhelmed, While Small Ones Are Vacant. NetEase News. Retrieved June 10, 2019, from http://news.163.com/15/0310/18/AKC9Q9L900014AEE.html

  • Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS Quarterly, 35(2), 373–396. https://doi.org/10.2307/23044048

  • Wu, H., & Deng, Z. (2019). Knowledge collaboration among physicians in online health communities: a transactive memory perspective. International Journal of Information Management, 49, 13–33. https://doi.org/10.1016/j.ijinfomgt.2019.01.003

  • Wu, H., & Lu, N. (2017). Online written consultation, telephone consultation and offline appointment: an examination of the channel effect in online health communities. International Journal of Medical Informatics, 107, 107–119. https://doi.org/10.1016/j.ijmedinf.2017.08.009  

  • Wu, H., & Lu, N. (2018). Service provision, pricing, and patient satisfaction in online health communities. International Journal of Medical Informatics, 110, 78–89. https://doi.org/10.1016/j.ijmedinf.2017.11.009  

  • Wu, H., Deng, Z., Wang, B., & Wu, T. (2020). Online service qualities in the multistage process and patients’ compliments: a transaction cycle perspective. Information & Management, 57(5), 103230. https://doi.org/10.1016/j.im.2019.103230  

  • Xu, A. (2013). High-Quality Medical Resource Is in Short Supply. People’s Daily. Retrieved June 10, 2019, from http://health.huanqiu.com/health_news/2013-07/4096195.html

  • Xu, M. (2018). Whether the Price of Health Care Should Be Set by the Government or Not. Sohu News. Retrieved June 10, 2019, from https://www.sohu.com/a/232791944_467288

  • Yan, Z., Wang, T., Chen, Y., & Zhang, H. (2016). Knowledge sharing in online health communities: a social exchange theory perspective. Information & Management, 53(5), 643–653. https://doi.org/10.1016/j.im.2016.02.001  

  • Yang, H., Guo, X., & Wu, T. (2015). Exploring the influence of the online physician service delivery process on patient satisfaction. Decision Support Systems, 78, 113–121. https://doi.org/10.1016/j.dss.2015.05.006  

  • Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302

Download references

Funding

This study was supported by the National Natural Science Foundation of China (award nos. 72001087, 71971092, 72032006, 91646113, and 71810107003).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhaohua Deng.

Ethics declarations

Conflict of interest

All authors confirm that we have no conflicts of interest.

Additional information

Responsible Editor: Ulrich Reimer

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Digital Healthcare Services

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, H., Deng, Z., Wang, B. et al. How does service price influence patients’ decisions? An examination of the free-market pricing mechanism in online health communities. Electron Markets 31, 877–893 (2021). https://doi.org/10.1007/s12525-020-00453-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12525-020-00453-0

Keywords

JEL classification

Navigation