情报研究

感知价值视角下数字健康APP用户持续采纳意愿的影响因素及路径研究:基于fsQCA方法

  • 吴大伟 ,
  • 胡小飞 ,
  • 赵宇翔 ,
  • 艾文华
展开
  • 1. 南昌大学管理学院 南昌 330031;
    2. 南京理工大学经济管理学院 南京 210094;
    3. 南京大学信息管理学院 南京 210023
吴大伟(ORCID:0000-0001-5738-1287),硕士研究生;胡小飞(ORCID:0000-0001-9295-8723),教授,博士,博士生导师;艾文华(ORCID:0000-0002-7474-9669),硕士研究生。

收稿日期: 2021-02-02

  修回日期: 2021-05-14

  网络出版日期: 2021-09-26

Research on Influencing Factors and Path of Users' Continuous Adoption Intention of Digital Health Apps from the Perspective of Perceived Value: Based on fsQCA

  • Wu Dawei ,
  • Hu Xiaofei ,
  • Zhao Yuxiang ,
  • Ai Wenhua
Expand
  • 1. School of Management, Nanchang University, Nanchang 330031;
    2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094;
    3. School of Information Management, Nanjing University, Nanjing 210023

Received date: 2021-02-02

  Revised date: 2021-05-14

  Online published: 2021-09-26

摘要

[目的/意义]数字健康APP用户存留率较低问题一直难以解决,本研究旨在明确影响用户持续采纳数字健康APP的感知价值因素及其影响路径,为未来数字健康APP的改进提供参考。[方法/过程]基于感知价值视角,利用内容分析和模糊集定性比较分析的研究方法,从用户对数字健康APP的负面评论中进行持续采纳因素的归纳,并依据归纳出的影响因素探究导致用户持续采纳数字健康APP的组态。[结果/结论]研究发现,系统价值、更新价值、环境价值、问诊价值、交易价值和安全价值是影响用户持续采纳数字健康APP的影响因素;通过fsQCA3.0共生成导致用户持续采纳的3条有效组态,分别为CA1:高更新价值*高交易价值*高安全价值*高问诊价值;CA2:高更新价值*高交易价值*高安全价值*高环境价值*高系统价值;CB:低系统价值*高更新价值*高安全价值*高问诊价值*高环境价值。最后,笔者对影响因素及组态进行分析,为数字健康APP的未来发展提供实践启示。

本文引用格式

吴大伟 , 胡小飞 , 赵宇翔 , 艾文华 . 感知价值视角下数字健康APP用户持续采纳意愿的影响因素及路径研究:基于fsQCA方法[J]. 图书情报工作, 2021 , 65(18) : 93 -104 . DOI: 10.13266/j.issn.0252-3116.2021.18.010

Abstract

[Purpose/significance] The problem of low user retention rate of digital health Apps has always been difficult to solve. This paper aims to clarify the perceived value factors and influencing paths that affect users' continuous adoption of digital health Apps, so as to provide reference for future improvement strategies of digital health Apps.[Method/process] Based on the perspective of perceived value, this paper adopted the research methods of content analysis and fuzzy set qualitative comparative analysis. Summarized the factors from users' negative comments on digital health Apps, and explored the configurations leading to users' continuous adoption of digital health Apps.[Result/conclusion] The study found that system value, update value, environment value, inquiry value, transaction value and security value were the influencing factors of users' continuous adoption of digital health app; three effective configurations were generated through fsQCA 3.0, which were CA1:high update value*high transaction value*high security value*high inquiry value; CA2:high update value*high transaction value*high security value*high environmental value*high system value; CB:low system value*high update value*high security value*high inquiry value*high environmental value. Finally, we analyzes the influencing factors and configurations, and provides practical enlightenments for the future development of digital health Apps.

参考文献

[1] EYSENBACH G. What is e-health?[J]. Journal of medical internet research, 2001, 3(2):e20.
[2] DELUCA J M, ENMARK R. E-health:the changing model of healthcare[J]. Front health serv manage, 2000, 17(1):3-15.
[3] 张镨心, 钟欢, 刘春. 国外数字健康信息系统持续使用意愿研究综述及最新进展[J]. 现代情报, 2020, 40(9):166-175.
[4] BLAYA J A, FRASER H S F, HOLT B. E-health technologies show promise in developing countries[J]. Health affairs, 2010, 29(2):244.
[5] WORLD HEALTH ORGANIZATION. Guideline on digital health interventions[EB/OL]. [2021-02-01], https://www.who.int/news/item/17-04-2019-who-releases-first-guideline-on-digital-health-interventions
[6] 易视. 中国互联网医疗年度综合分析2018[EB/OL]. [2021-02-01]. https://www.analysys.cn/article/analysis/detail/20018737.
[7] 杜静. 健康类APP使用意愿影响因素研究[D]. 保定:河北大学, 2019.
[8] KREBS P, DUNCAN D T. Health app use among us mobile phone owners:a national survey[J]. Jmir mhealth & uhealth, 2015, 3(4):e101.
[9] PARTHASARATHY M, BHATTACHERJEE A. Understanding post-adoption behavior in the context of online services[J]. Information systems research, 1998, 9(4):362-379.
[10] ZHANG C B, LI Y N, WU B, et al. How WeChat can retain users:roles of network externalities, social interaction ties, and perceived values in building continuance intention[J]. Computers in human behavior, 2016, 69(4):284-293.
[11] 赵乃瑄, 刘佳静, 金洁琴. 高校图书馆微信公众号用户持续使用意愿研究[J]. 图书馆论坛, 2019, 39(3):97-103.
[12] 董庆兴, 周欣, 毛凤华, 等. 在线健康社区用户持续使用意愿研究——基于感知价值理论[J]. 现代情报, 2019, 39(03):3-14, 156.
[13] 甘春梅, 许嘉仪. 感知价值对社会化商务用户行为意愿的影响研究[J]. 情报科学, 2020, 38(10):68-73.
[14] 赵文军, 谢守美. 大学生移动阅读感知价值、满意度与行为意向的关系:以超星移动阅读 APP 平台为例[J]. 图书情报工作, 2019, 63(3):98-107.
[15] 李武, 许耀心, 丛挺. 在线付费问答平台用户感知价值对付费意愿的影响——基于过去行为的调节效应分析[J]. 新闻界, 2018(10):92-100.
[16] CHO J. The impact of post-adoption beliefs on the continued use of health apps[J]. International journal of medical informatics, 2016, 87:75-83.
[17] AKTER S, D'AMBRA J, RAY P. Service quality of mhealth platforms:development and validation of a hierarchical model using pls[J]. Electronic markets, 2010, 20(3/4):209-227.
[18] AKTER S, D'AMBRA J, RAY P, et al. Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life[J]. Behaviour and information technology, 2013, 32(12):1225-1241.
[19] AKTER S, D'AMBRA J, RAY P. Development and validation of an instrument to measure user perceived service quality of mHealth[J/OL]. Information and management, 2013, 50(4):181-195.
[20] DELONE W H, MCLEAN E R. Information systems success:the quest for the dependent variable[J]. Information systems research, 1992, 3(1):60-95.
[21] 张敏, 罗梅芬, 聂瑞等. 问诊类移动医疗APP用户持续使用意愿分析——基于患者特征、医护特征、和系统治疗的多维视角[J]. 软科学, 2018, 32(5):99-104.
[22] HOSSAIN M. Assessing m-Health success in Bangladesh:An empirical investigation using IS success models[J]. Journal of enterprise information management, 2016, 29(5):774-796.
[23] ZAGITA T C, HANDAYANI P W, BUDI N F A. Analysis of factors affecting the loyalty of using online health services:case study of alodokter[C]//2019 11th international conference on advanced computer science and information systems. New York:IEEE, 2019:279-284.
[24] CHIU W S, CHO H, CHI C G. Consumers' continuance intention to use fitness and health apps:an integration of the expectation-confirmation model and investment model[J]. Information technology & people, 2020, 34(3):978-998.
[25] HONG Z, DENG Z, ZHANG W. Examining factors affecting patients trust in online healthcare services in China:the moderating role of the purpose of use[J]. Health informatics journal, 2019, 25(4):1647-1660.
[26] SHEN X L, LI Y J, SUN Y. Wearable health information systems intermittent discontinuance:a revised expectation-disconfirmation model[J]. Industrial management and data systems, 2018, 118(3):506-523.
[27] YUAN S, MA W KANTHAWALA S. Keep using my health apps:discover users' perception of health and fitness apps with the UTAUT2 model[J]. Telemedicine and ehealth, 2015, 21(9):735-741.
[28] ZHANG X, YAN X, CAO X, et al. The role of perceived e-health literacy in users' continuance intention to use mobile healthcare applications:an exploratory empirical study in China[J]. Information technology for development, 2018, 24(2):198-223.
[29] ZEITHAML V A. Consumer perceptions of price, quality and value:a means-end model and synthesis of evidence[J]. Journal of marketing, 1988, 52(3):2-22.
[30] 赵文军. 虚拟社区知识共享可持续行为研究[D]. 武汉:华中师范大学, 2012.
[31] RIHOUX B, RAGIN C C. QCA设计原理与应用:超越定性与定量研究的新方法[M]. 杜运周, 李永发, 译. 北京. 机械工业出版社, 2017.
[32] 杜运周, 贾良定. 组态视角与定性比较分析(QCA):管理学研究的一条新道路[J]. 管理世界, 2017(6):155-167.
[33] 毛湛文. 定性比较分析(QCA)与新闻传播学研究[J]. 国际新闻界, 2016, 38(4):6-25.
[34] 邓胜利, 付少雄. 定性比较分析(QCA)在图书情报学中的应用——以网络社区健康信息搜寻影响因素研究为例[J]. 情报理论与实践, 2017, 40(12):23-28, 11.
[35] 杨金龙, 胡广伟. 移动学习采纳转化为持续的动因及其组态效应研究[J]. 情报科学, 2019, 37(7):125-132.
[36] 甘春梅, 邱智燕, 徐维晞. 基于fsQCA的移动地图APP持续使用意愿影响因素研究[J]. 情报理论与实践, 2020, 43(11):110-115.
[37] LI H, LI L, GAN C, et al. Disentangling the factors driving users' continuance intention towards social media:a configurational perspective[J]. Computers in human behavior, 2018, 85(8):175-182.
[38] PARK Y K, PAVLOU P A, SARAF N. Configurations for achieving organizational ambidexterity with digitization[J]. Information systems research, 2020, 31(4):3-8.
[39] LLOPIS-ALBERT C, RUBIO F, VALERO F. Impact of digital transformation on the automotive industry[J]. Technological forecasting & social change, 2021, 162(C), 120343
[40] 杜运周, 刘秋辰, 程建青. 什么样的营商环境生态产生城市高创业活跃度?——基于制度组态的分析[J]. 管理世界, 2020, 36(9):165-179.
[41] 王若佳, 张璐, 王继民. 基于扎根理论的在线问诊用户满意度影响因素研究[J]. 情报理论与实践, 2019, 42(10):117-123.
[42] EMMERT M, MEIER F, HEIDER AK, et al., What do patients say about their physicians? an analysis of 3000 narrative comments posted on a german physician rating website[J]. Health policy, 2014, 118(1):66-73.
[43] DORFMAN R G, PURNELL C, QIU C, et al. Happy and unhappy patients:a quantitative analysis of online plastic surgeon reviews for breast augmentation[J]. Plastic and reconstructive surgery, 2018, 141(5):663e-673e.
[44] HAO H. The development of online doctor reviews in China:an analysis of the largest online doctor review website in China[J]. Journal of medical internet research, 2015, 17(6):e134.
[45] ZHANG W, DENG Z, HONG Z, ET AL.Unhappy patients are not alike:content analysis of the negative comments from China's good doctor website[J]. Journal of medical internet research, 2018, 20(1):e35.
[46] HUANG E, DUNBAR C L. Connecting to patients via social media:a hype or a reality?[J]. Journal of medical marketing, 2013, 13(1):14-23.
[47] SKRYPCZAK A M, TRESSEL W A, GHAYOUR S, et al. Negative online reviews of orthodontists:content analysis of complaints posted by dissatisfied patients[J]. American journal of orthodontics and dentofacial orthopedics, 2020, 158(2):237-246.
[48] LI S, FENG B, CHEN M, et al. Physician review websites:effects of the proportion and position of negative reviews on readers' willingness to choose the doctor[J]. Journal of health communication, 2015, 20(4):453-461.
[49] LÓPEZ, ANDREA, DETZ A, RATANAWONGSA N, et al. What patients say about their doctors online:a qualitative content analysis[J]. Journal of general internal medicine, 2012, 27(6):685-692.
[50] 艾媒咨询. 2016-2017中国移动数字健康市场研究报告[EB/OL]. [2021-02-01]. https://www.iimedia.cn/c400/49397.html.
[51] 胡媛, 艾文华, 胡子祎, 等. 高校科研人员数据需求管理影响因素框架研究[J]. 中国图书馆学报, 2019, 45(4):104-121.
[52] EDWARDS H B, MARQUES E, HOLLINGWORTH W, et al. Use of a primary care online consultation system, by whom, when and why:evaluation of a pilot observational study in 36 general practices in South West England[J]. BMJ open, 2017, 7(11):e016901.
[53] 程建青, 罗瑾琏, 杜运周, 等. 制度环境与心理认知何时激活创业?——一个基于QCA方法的研究[J]. 科学学与科学技术管理, 2019, 40(2):114-131.
[54] KAISER H F, RICE J. Little jiffy, mark IV[J]. Educational and psychological measurement, 1974, 34 (1):111-117.
[55] MORGAN R B S L. Redesigning social inquiry:fuzzy sets and beyond by Charles C. Ragin[J]. Social forces, 2010, 88(4):1934-1936.
[56] FOX G, CONNOLLY R. Mobile health technology adoption across generations:narrowing the digital divide[J]. Information systems journal, 2018, 28(6):995-1019.
[57] 仇蓉蓉, 胡昌平, 冯亚飞. 学术信息资源云存储安全保障架构及防控措施研究[J]. 图书情报工作, 2018, 62(23):106-112.
[58] LI X, ZHANG B, ZHANG Z, et al. A sentiment-statistical approach for identifying problematic mobile app updates based on user reviews[J]. Information, 2020, 11(3):152.
[59] SAFFARIZADEH K, JABR W, KEIL M. Update assimilation in app markets:is there such a thing as too many updates?[C]//Proc 39th international conference on information systems. San Francisco:Association for Information Systems, 2018.
[60] 左卫娟. 基于移动购药的网上药店监管机制研究[D].郑州:郑州大学, 2017.
[61] 于梦琦, 胡祥培, 黄敏芳. 网上药店"一单多品"订单的协同配送优化方法[J]. 系统工程理论与实践, 2020, 40(10):2658-2668.作者贡献说明:吴大伟:提出研究选题, 数据处理及论文撰写; 胡小飞:修改论文, 审核校验论文; 赵宇翔:调整研究框架, 指导论文写作及定稿; 艾文华:修改论文。
文章导航

/