[Purpose/significance] Medical team services are emerging form of services provided by online health communities, which have greatly improved the development of online medical services. This paper attempts to explore factors that affect the sales of medical team services in online health communities, the aim is to put forward practical suggestions for the development of online health community and promote the development of online medical service. [Method/process] Based on a dataset including 2784 teams drawn from a leading online health community in China, we built models to examine the influencing factors that affect patients’ choice of online medical team services. In particular, we studied how factors including team reputation, team size, team response speed and team login behavior affect patients’ choice of online medical team services using regression analysis and bootstrap. In addition, we explored the meditating role of prices. [Result/conclusion] Results show that team reputation, team size, team response speed and team login behavior had positive effects on patients’ choices. Team prices had a suppressing effect between team reputation, team size acts and patients’ choices, but acted as a partial mediator between the team response speed and patients’ choice of online medical team services.
Tang Kunmeng
,
Li Shengli
,
Zhang Qian
. Study on Influencing Factors on Patients’ Selection of Online Medical Team Services——Taking Haodf.com as an Example[J]. Library and Information Service, 2021
, 65(11)
: 33
-45
.
DOI: 10.13266/j.issn.0252-3116.2021.11.004
[1] 吴江,李姗姗.在线健康社区用户信息服务使用意愿研究[J].情报科学, 2017, 35(4): 119-125.
[2] LI J, WU H, DENG Z, et al. How professional capital and team heterogeneity affect the demands of online team-based medical service[J]. BMC medical informatics and decision making, 2019, 19(1):119.
[3] WU H, DENG Z. Knowledge collaboration among physicians in online health communities:a transactive memory perspective[J]. International journal of information management, 2019, 49: 13-33.
[4] DULLECK U, KERSCHBAMER R. On doctors, mechanics, and computer specialists: the economics of credence goods[J]. Journal of economic literature, 2006, 44(1): 5-42.
[5] ARROW K J. Uncertainty and the welfare economics if medical care[J]. American economic review, 1963, 53(5): 941-973.
[6] LU N, HONG W. Exploring the impact of word-of-mouth about physicians’ service quality on patient choice based on online health communities[J]. BMC medical informatics & decision making, 2016, 16 (1):151.
[7] 吴江,周露莎.网络健康信息服务用户购买决策的影响因素研究[J].情报学报, 2017, 36(10): 1058-1065.
[8] 周涛,王盈颖,邓胜利.基于社会资本理论的在线健康社区用户参与行为研究[J].信息资源管理学报, 2020, 10(2): 59-67,129.
[9] 陆泉,李易时,陈静等.在线医疗社区患者择医行为影响因素研究[J].图书情报工作, 2019, 63(8): 87-95.
[10] CAO X, LIU Y, ZHU Z, et al. Online selection of a physician by patients: empirical study from elaboration likelihood perspective[J]. Computers in human behavior, 2017, 73(8): 403-412.
[11] LIU X, GUO X, WU H, et al. The impact of individual and organizational reputation on physicians’ appointments online[J]. International journal of electronic commerce, 2016, 20(4): 551-577.
[12] CHEN Q, YAN X, ZHANG T. The impact of physician’s login behavior on patients’ search and decision in OHCs[C]//CHEN H, ZENG D, YAN X et al. Smart health. Switzerland: Springer, Cham, 2019: 155-169.
[13] 刘笑笑.在线医生信誉和医生努力对咨询量的影响研究[D].哈尔滨:哈尔滨工业大学, 2014.
[14] 薛书峰.互联网医疗的定价影响因素研究[D].南京:南京大学, 2016.
[15] SPENCE M. Signaling in retrospect and the informational structure of markets[J]. American economic review, 2002, 92(3): 434-459.
[16] CONNELLY, BRIAN L, CERTO S, et al. Signaling theory: a review and assessment[J]. Journal of management, 2011, 37(1): 39-67.
[17] GIOVANNI M, FRANCO P, ALEKSEY T, Price as a signal of product quality: some experimental evidence[J]. Journal of wine economics, 2014, 9(2): 135-152.
[18] BENLIAN A, HESS T. The signaling role of it features in influencing trust and participation in online communities[J]. International journal of electronic commerce, 2011, 15(4): 7-56.
[19] 王浩,刘汕,高宝俊.医生开通个人网站对患者评论量的影响研究[J].管理学报, 2018, 15(6): 901-907.
[20] CHEN L, RAI A, GUO X. Physicians’ online popularity and price premiums for online health consultations: a combined signaling theory and online feedback mechanisms explanation[C]// 8th international conferences on information systems. Madeira: IADIS, 2015.
[21] CHEN Y, XIE J. Online consumer review: word-of-mouth as a new element of marketing communication mix[J]. Management science,2008, 54(3): 477-491.
[22] 李佳颖,邓朝华,吴红.虚拟团队在医疗服务中应用的实证研究[J].管理学报, 2020, 17(8): 1238-1244.
[23] YANG H, GUO X. Exploring the effects of patient-generated and system-generated information on patients’ online search, evaluation and decision[J]. Electronic commerce research and applications, 2015, 14(3): 192-203.
[24] WANG L, YAN L, TONG Z, et al. Understanding physicians’ online-offline behavior dynamics: an empirical study [J]. Information systems research, 2020, 31(2): 537-555.
[25] LAGU T, HANNON S N, ROTHBERG B M, et al. Patients’ evaluations of health care providers in the era of social networking: an analysis of physician-rating websites[J]. Journal of general internal medicine, 2010, 25(9): 942-946.
[26] GALEHBAKHTIARI S, POURYASOURI T H. A hermeneutic phenomenological study of online community participation applications of fuzzy cognitive maps[J]. Computers in human behavior, 2015, 48: 637-643.
[27] LUO W, CHUNG Q B. Retailer reputation and online pricing strategy[J]. Journal of computer information systems, 2010, 50(4): 50-56.
[28] 李莹莹.在线医疗社区医生服务价格的影响因素研究[D].哈尔滨:哈尔滨工业大学, 2016.
[29] MICHEL C. What does this discount tell you? investigating the impact of pre-promotion price effects [EB/OL]. [2021-03-21]. https://ssrn.com/abstract=2938363.
[30] GERSTNER E. Do higher prices signal higher quality? [J]. Journal of marketing research, 1985, 22(2): 209-215.
[31] 温忠麟,叶宝娟.中介效应分析:方法和模型发展[J].心理科学进展,2014, 22(5): 731-745.
[32] 赵德森,窦垚,张建民.营商环境与绿色经济增长——基于企业家精神的中介效应与遮掩效应[J].经济问题探索, 2021(2): 66-77.