广东工业大学学报 ›› 2022, Vol. 39 ›› Issue (03): 8-15.doi: 10.12052/gdutxb.210151

• • 上一篇    下一篇

基于ELM理论的患者在线择医行为影响因素研究

吴菊华, 刘芊, 陶雷   

  1. 广东工业大学 管理学院, 广东 广州 510520
  • 收稿日期:2021-10-14 出版日期:2022-05-10 发布日期:2022-05-19
  • 作者简介:吴菊华(1974-),女,教授,主要研究方向为智慧健康管理、商务智能和工业互联网等
  • 基金资助:
    国家自然科学基金资助面上项目(71771059)

Selection of a Physician by Patients in Online Healthcare Community: An Elaboration Likelihood Model Perspective

Wu Ju-hua, Liu Qian, Tao Lei   

  1. School of Management, Guangdong University of Technology, Guangzhou 510520, China
  • Received:2021-10-14 Online:2022-05-10 Published:2022-05-19

摘要: 从精细加工可能性模型(Elaboration Likelihood Model,ELM)和服务质量的理论视角出发,采用在线医疗社区的真实数据,构建模型进行实证研究,探究不同路径下的患者择医行为的影响因素和疾病风险的调节作用。结果表明,ELM理论的中心路径和边缘路径的因素会影响患者的在线择医行为意向。疾病风险起到了重要的调节作用,低疾病风险的患者主要受到边缘路径的影响因素,包括医生的服务口碑和服务资历披露,而高疾病风险的患者主要受到中心路径的影响因素,包括技术质量和评论质量。研究结果为改善在线医疗服务提供了理论依据,为医疗服务供给方提供了管理启示。

关键词: 在线医疗社区, 行为意愿, 精细加工可能性模型, 服务质量, 在线评论

Abstract: Drawing on the theory of elaboration likelihood model and service quality, a real data set from an online healthcare community is used and an empirical study of patients' medical choice behavior and the moderating effect of disease risk under different paths provided. The results show that, overall, both factors from central and peripheral route affect patients' behavioral intention of online medical choice. Patients with low disease risks are mainly influenced by factors from the peripheral route including doctors' service reputation and disclosure of service qualifications. Whereas, patients with high disease risks are mainly influenced by factors from the central route including service quality of treatment and reviews quality. The results provide a theoretical basis for improving online medical services, and provide management inspiration for medical service providers.

Key words: online healthcare community, behavior intention, elaboration likelihood model, service quality, online reviews

中图分类号: 

  • C939
[1] 艾瑞咨询. 中国互联网+医疗行业研究报告[EB/OL]. [2020-09-03]. https://baijiahao.baidu.com/s?id=167677510264 9072258&wfr=spider&for=pc.
IResearch. Research report on chinese Internet medical Industry[EB/OL]. [2020-09-03]. https://baijiahao.baidu.com/s?id=1676775102649072258&wfr=spider&for=pc.
[2] 王尧. 病患医疗服务模式选择行为研究[D]. 成都: 西南财经大学, 2016.
[3] FROST J, VERMEULEN I E, BEEKERS N. Anonymity versus privacy: selective information sharing in online cancer communities [J]. Journal of Medical Internet Research, 2014, 16(5): 249-259.
[4] 邓君, 胡明乐. 基于用户感知的在线医疗社区信息服务质量影响因素研究[J]. 情报科学, 2019, 37(10): 40-45.
DENG J, HU M L. Influencing factors of online medical community information service quality based on user perception [J]. Information Science, 2019, 37(10): 40-45.
[5] YANG H, GUO X, WU T, et al. Exploring the effects of patient-generated and system-generated information on patients’ online search, evaluation and decision [J]. Electronic Commerce Research & Applications, 2015, 14(3): 192-203.
[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: 151.
[7] GONG Y, WANG H, XIA Q, et al. Factors that determine a Patient’s willingness to physician selection in online healthcare communities: a trust theory perspective [J]. Technology in Society, 2021, 64: 101510.
[8] 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.
LU Q, LI Y S, CHEN J, et al. Study on the influencing factors of the patient’s selection of doctors in online health care community [J]. Library and Information Service, 2019, 63(8): 87-95.
[9] 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.
[10] 徐孝婷, 杨梦晴, 宋小康. 在线健康社区中医生口碑对患者选择的影响研究——以好大夫在线为例[J]. 现代情报, 2019, 39(8): 20-28.
XU X T, YANG M Q, SONG X K. Exploring the impact of physicians’ word of mouth on patients’ selection in online health community—taking the website of www. haodf. com as an Example [J]. Journal of Modern Information, 2019, 39(8): 20-28.
[11] DENG Z, HONG Z, ZHANG W, et al. The effect of online effort and reputation of physicians on patients' choice: 3-wave data analysis of China's Good Doctor Website [J]. Journal of Medical Internet Research, 2019, 21(3): e10170.
[12] 刘箐, 吴红, 沈丽宁, 等. 在线医疗社区中医生义诊行为对患者选择的影响研究[J]. 医学信息学杂志, 2019, 40(3): 14-20.
LIU J, WU H, SHEN L N, et al. Study on the influence of physicians’ gratuitous treatment on patients’ choices in online health community [J]. Journal of Medical Informatics, 2019, 40(3): 14-20.
[13] GAO G G, GREENWOOD B N, AGARWAL R, et al. Vocal minority and silent majority: how do online ratings reflect population perceptions of quality [J]. MIS Quarterly, 2015, 39(3): 565-590.
[14] PETTY R E, CACIOPPO J T, DAVID S. Central and Peripheral routes to advertising effectiveness: the moderating role of involvement [J]. Journal of Consumer Research, 1983, 10(2): 135-146.
[15] PARK D H, LEE J, HAN I. The Effect of On-line consumer reviews on consumer purchasing intention: the moderating role of involvement [J]. International Journal of Electronic Commerce, 2007, 11(4): 125-148.
[16] 甘哲娜. 基于ELM的在线旅游网站消费者使用行为研究[J]. 管理学报, 2016, 13(6): 889-898.
GAN Z N. A study of consumer behavior using online travel website based on ELM model [J]. Chinese Journal of Management, 2016, 13(6): 889-898.
[17] 赵杨, 赵雨, 吴江. 网站界面设计对消费者购买可穿戴设备意愿的影响研究[J]. 信息资源管理学报, 2017, 7(3): 15-23.
ZHAO Y, ZHAO Y, WU J. An empirical research on the influence of web interface design on consumers' intention to purchase wearable equipment [J]. Journal of Information Resources Management, 2017, 7(3): 15-23.
[18] CHEVALIER J A, MAYZLIN D. The effect of word of mouth on sales: online book reviews [J]. Journal of Marketing Research, 2006, 43(3): 345-354.
[19] DELLAROCAS C. The digitization of word of mouth: promise and challenges of online feedback mechanisms [J]. Management Science, 2003, 49(10): 1407-1424.
[20] GODES D, MAYZLIN D. Using online conversations to study word-of-mouth communication [J]. Marketing Science, 2004, 23(4): 545-560.
[21] BAKOS Y, DELLAROCAS C. Cooperation without enforcement? a comparative analysis of litigation and online reputation as quality assurance mechanisms [J]. Management Science, 2011, 57(11): 1944-1962.
[22] 刘瑛, 何爱珊. QQ群健康信息传播的劝服过程研究[J]. 新闻大学, 2011, 109(3): 84-89.
LIU Y, HE A S. Study on the persuasion process of QQ group health information transmission [J]. Journalism Research, 2011, 109(3): 84-89.
[23] 曾宇颖, 郭道猛. 基于信任视角的在线健康社区患者择医行为研究——以好大夫在线为例[J]. 情报理论与实践, 2018, 41(9): 100-105.
ZENG Y Y, GUO D M. Patients’ behavior of selecting physicians in online health community based on trust perspective: taking the website of www. haodf. com as an example [J]. Information studies:Theory & Application, 2018, 41(9): 100-105.
[24] 王洪伟, 孟园. 在线评论质量有用特征识别: 基于GBDT特征贡献度方法[J]. 中文信息学报, 2017, 31(3): 109-117.
WANG H W, MENG Y. Helpful features identification of online reviews quality based on GBDT feature contribution [J]. Journal of Chinese Information Processing, 2017, 31(3): 109-117.
[25] 吴江, 刘弯弯. 什么样的评论更容易获得有用性投票——以亚马逊网站研究为例[J]. 数据分析与知识发现, 2017, 1(9): 16-27.
WU J, LIU W W. Identifying reviews with more positive votes — case study of Amazon. cn [J]. Data Analysis and Knowledge Discovery, 2017, 1(9): 16-27.
[26] 莫赞, 罗敏瑶. 在线评论对消费者购买决策的影响研究——基于评论可信度和信任倾向的中介、调节作用[J]. 广东工业大学学报, 2019, 36(2): 54-61.
MO Z, LUO M Y. A research of the influence of online reviews on consumer purchase decision-based on mediation and adjustment of reliability comments and trust tendency [J]. Journal of Guangdong University of Technology, 2019, 36(2): 54-61.
[27] EAGLY A H, CHAIKEN S. The psychology of attitudes[M]. San Diego, California: Harcourt Brace Jovanovich College Publishers, 1993.
[28] BHATTACHERJEE A, SANFORD C. Influence processes for information technology acceptance: an elaboration likelihood model [J]. MIS Quarterly, 2006, 30(4): 805-825.
[29] LI C Y. Persuasive messages on information system acceptance: a theoretical extension of elaboration likelihood model and social influence theory [J]. Computers in Human Behavior, 2013, 29(1): 264-275.
[30] 董京京, 许正良, 方琦, 等. 消费者与商家在线体验式互动对其购买意愿影响的模型构建[J]. 管理学报, 2018, 15(11): 1722-1730.
DONG J J, XU Z L, FANG Q, et al. Model construction of the influence of online experiential interaction between consumers and merchants on their purchase intention: an exploratory research based on grounded theory [J]. Chinese Journal of Management, 2018, 15(11): 1722-1730.
[31] 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: 403-412.
[32] DONABEDIAN A. Explorations in quality assessment and monitoring. Volume 1: definition and measurement of quality [J]. Medical Care, 1981, 19(10): 1066-1067.
[33] RUO B, RUMSFELD J S, HLATKY M A, et al. Depressive symptoms and health-related quality of life: the heart and soul study [J]. Journalofthe American Medical Association, 2003, 290(2): 215-221.
[34] YANG H, GUO X, WU T. Exploring the influence of the online physician service delivery process on patient satisfaction [J]. Decision Support Systems, 2015, 78: 113-121.
[35] 中华人民共和国国家统计局. 中国卫生和计划生育统计年鉴[M]. 北京: 中国统计出版社, 2019.
[36] PARK D H, KIM S. The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews [J]. Electronic Commerce Research & Applications, 2009, 7(4): 399-410.
[37] ROTHENFLUH F, SCHULZ P J. Physician rating websites: What aspects are important to identify a good doctor, and are patients capable of assessing them? amixed-methods approach including physicians' and health care consumers' perspectives [J]. Journal of Medical Internet Research, 2017, 19(5): e127.
[38] WU B. Patient continued use of online health care communities: web mining of patient-doctor communication [J]. Journal of Medical Internet Research, 2018, 20(4): e126.
[39] NAM K, BAKERJ, AHMAD N, et al. Dissatisfaction, disconfirmation, and distrust: an empirical examination of value co-destruction through negative electronic word-of-mouth (eWOM) [J]. Information Systems Frontiers, 2018, 22(1): 113-130.
[1] 莫赞, 柳建华, 魏伟. 电子口碑可信度影响因素研究综述[J]. 广东工业大学学报, 2019, 36(06): 53-58,73.
[2] 莫赞, 罗敏瑶. 在线评论对消费者购买决策的影响研究——基于评论可信度和信任倾向的中介、调节作用[J]. 广东工业大学学报, 2019, 36(02): 54-61.
[3] 杜松华, 蒋瑞新, 朱琳. 企业微信影响力及服务质量研究:以物流企业为例[J]. 广东工业大学学报, 2019, 36(01): 29-34,50.
[4] 刘国英, 章云, 陈泓屺. H. 264视频码流自适应传输的研究与实现[J]. 广东工业大学学报, 2013, 30(4): 83-87.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!