[Purpose/significance] Online health care community is an emerging online platform for doctors and patients to communicate, of which the payment consulting service is an important module to attract users and make profits. To understand the information needs and influencing factors of patients' choosing behavior in paying consultation, is helpful to improve the service of doctors and enhance the vitality of the community.[Method/process] Based on the theory of consumer trust and the theory of consumer perception, as well as considering the effect of price and herd psychology, this study established the model of influencing the behaviors of patients' choices in the community. And a regression analysis of good doctor online website data was made.[Result/conclusion] Online comments for doctors, service quality, contribution value, external attention and price is verified. And there is a difference between the traditional line selection and traditional medicine. The results can provide reference for doctors to improve their services and for communities to promote income.
Lu Quan
,
Li Yishi
,
Chen Jing
,
Li Baoping
. 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
.
DOI: 10.13266/j.issn.0252-3116.2019.08.011
[1] 李琪,阮燕雅.信誉、消费者保障机制和在线评论对网上消费者首次购买意愿的影响研究[J].经济经纬,2014,31(4):98-103.
[2] 姜锦虎,陈智武,任杰锋. C2C环境下感知信誉对购买意愿影响的实证研究[J].软科学,2011,25(6):130-134.
[3] BAUER R A. Consumer behavior as risk taking,dynamic marketing for a changing world[C]//Proceedings of the 43rd conference of the American Marketing Association. Chicago:American Marketing Association,1960:389-398.
[4] STEYN L J, MAWELA T. A trust-based e-commerce decision-making model for South African citizens[C]//Conference of the South African institute of computer scientists and information technologists. New York:ACM, 2016:42.
[5] UELAND Ø, GUNNLAUGSDOTTIR H, HOLM F, et al. State of the art in benefit-risk analysis:consumer perception[J]. Food & chemical toxicology an international journal published for the British industrial biological research association, 2012, 50(1):67-76.
[6] MURRAY K B, SCHLACTER J L. The impact of services versus goods on consumers' assessment of perceived risk and variability[J]. Journal of the Academy of Marketing Science, 1990, 18(1):51-65.
[7] 刘江,朱庆华,吴克文,等.网购用户从众行为影响因素实证研究[J].图书情报工作,2012,56(12):138-143,147.
[8] BECKER S A. Seeking online health resources:a study of web usability for older adults[M]. New York:ACM, 2005.
[9] CHUANG K Y, YANG C C. Helping you to help me:Exploring supportive interaction in online health community[J]. Proceedings of the American Society for Information Science & Technology, 2011, 47(1):1-10.
[10] CLINE R J W, HAYNES K M. Consumer health information seeking on the internet:the state of the art[J]. Health education research, 2001, 16(6):671-692.
[11] COLLEEN Y. Community management that works:how to build and sustain a thriving online health community[J]. Journal of medical Internet research, 2013, 15(6):e119.
[12] DEREK R. Features and benefits of online counselling:Trinity College online mental health community[J]. British journal of guidance & counselling, 2009, 37(3):231-242.
[13] FAN H, LEDERMAN R, SMITH S P, et al. How trust is formed in online health communities:a process perspective[J]. Communications of the association for information systems, 2014, 34(1):531-560.
[14] FREEMAN K S, SPYRIDAKIS J H. An examination of factors that affect the credibility of online health information[J]. Technical communication, 2004, 51(2):239-263.
[15] FROST J H, MASSAGLI M P. Social uses of personal health information within Patients Like Me, an online patient community:what can happen when patients have access to one another's data[J]. Journal of medical Internet research, 2008, 10(3):e15.
[16] GUMMERUS J, LILJANDER V, PURA M, et al. Customer loyalty to content-based Web sites:the case of an online health-care service[J]. Journal of services marketing, 2004, 18(3):175-186.
[17] LUO W, CHUNG Q B. Retailer reputation and online pricing strategy[J]. Data processor for better business education, 2010, 50(4):50-56.
[18] MALONEY-KRICHMAR D, PREECE J. A multilevel analysis of sociability, usability, and community dynamics in an online health community[J]. ACM Transactions on computer-human interaction (TOCHI), 2005, 12(2):201-232.
[19] SILLENCE E, BRIGGS P, HARRIS P R, et al. How do patients evaluate and make use of online health information?[J]. Social science & medicine, 2007, 64(9):1853-1862.
[20] WANG L, WANG J, WANG M, et al. Using internet search engines to obtain medical information:a comparative study[J]. Journal of medical Internet research, 2012, 14(3):e74.
[21] 曾奕侨,吴红,卢乃吉.患者在线评论行为影响因素的实证研究-以挂号网为例[J].智慧健康,2017,3(22):12-17,39.
[22] 邓朝华,洪紫映.在线医疗健康服务医患信任影响因素实证研究[J].管理科学,2017,30(1):43-52.
[23] 刘娟,郑君君,吴江.在线医疗网站患者选择医生的影响因素实证研究[J].医学信息学杂志,2017,38(5):48-51.
[24] 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.
[25] 金立印. 网络口碑信息对消费者购买决策的影响:一个实验研究[J]. 经济管理, 2007(22):36-42.
[26] 陈晓红, 曾平. 移动购物评价对消费者购买意愿影响的实验研究[J]. 经济与管理研究, 2016, 37(6):122-129.
