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Analyzing Continuance Intention of Health APP Users Based on Information Ecology |
Zhang Min1(), Luo Meifen1, Nie Rui1, Zhang Yan2 |
1Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China 2School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract [Objective] This paper aims to explore the factors affecting the continuance intention of mobile health application users. [Methods] From the perspective of information ecology, we first analysed information, users, technology and information environment factors. Then we proposed a new research hypotheses model based on the expectation confirmation model (ECM). [Results] We collected user behaviour data from server logs of multiple mobile health applications and questionnaires. A total of 288 valid samples were obtained and examined with SmartPLS2.0. We found that, all original relationships from the ECM existed in the mobile environment. The accuracy and consensus of information, perceived health threats, responding time and ease of use, as well as the direct / indirect network externality of the environment all positively correlated to the confirmation and perceived usefulness of mobile health applications. The eHealth literacy of users increased confirmation but restrained perceived usefulness. [Limitations] The sample size needed to be expanded, and the conclusions should to be promoted. [Conclusions] User’s continuance behaviour of mobile health APP is influenced by the information, users, technology and environment.
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Received: 07 December 2016
Published: 24 May 2017
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[1] |
Lester R T, Kop M V D, Taylor D, et al. M-health: Connecting Patients to Improve Population and Public Health[J]. British Columbia Medical Journal, 2011, 53(5): 218-219.
|
[2] |
Guo X T, Zhang X F, Sun Y Q.The Privacy-Personalization Paradox in mHealth Services Acceptance of Different Age Groups[J]. Electronic Commerce Research and Applications, 2016, 16: 55-65.
doi: 10.1016/j.elerap.2015.11.001
|
[3] |
易观智库. 2016年中国移动医疗市场年度研究分析报告[R/OL]. [2016-11-10].
|
[3] |
(Analysys. Annual Research and Analysis Report of China Mobile Medical Market in 2016 [R/OL]. [2016-11-10].
|
[4] |
Akter S, D’Ambra J, Ray P. Development and Validation of an Instrument to Measure User Perceived Service Quality of mHealth[J]. Information & Management, 2013, 50(4): 181-195.
doi: 10.1016/j.im.2013.03.001
|
[5] |
刘咏梅, 车小玲, 卫旭华. 消费者对移动医疗的初始信任研究[J]. 信息系统学报, 2014, 14(1): 15-30.
|
[5] |
(Liu Yongmei, Che Xiaoling, Wei Xuhua.Research on Consumers’ Initial Trust for Mobile Health[J]. China Journal of Information Systems, 2014, 14(1): 15-30.)
|
[6] |
Zhang X, Guo X, Lai K H, et al.Understanding Gender Differences in m-Health Adoption: A Modified Theory of Reasoned Action Model[J]. Telemedicine & e-Health, 2014, 20(1): 39-46.
doi: 10.1089/tmj.2013.0092
pmid: 24161004
|
[7] |
Guo X, Han X, Zhang X, et al.Investigating m-Health Acceptance from a Protection Motivation Theory Perspective: Gender and Age Differences[J]. Telemedicine and e-Health, 2015, 21(8): 661-669.
doi: 10.1089/tmj.2014.0166
pmid: 25919800
|
[8] |
Rai A, Chen L, Pye J, et al.Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences[J]. Journal of Medical Internet Research, 2013, 15(8): e149.
doi: 10.2196/jmir.2635
pmid: 3742412
|
[9] |
Hung M C, Jen W Y.The Adoption of Mobile Health Management Services: An Empirical Study[J]. Journal of Medical Systems, 2012, 36(3): 1381-1388.
doi: 10.1007/s10916-010-9600-2
pmid: 20878452
|
[10] |
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.
doi: 10.1016/j.ijmedinf.2015.12.016
pmid: 26806714
|
[11] |
Hsiao C H, Tang K Y.Examining a Model of Mobile Healthcare Technology Acceptance by the Elderly in Taiwan[J]. Journal of Global Information Technology Management, 2015, 18(4): 292-311.
doi: 10.1080/1097198X.2015.1108099
|
[12] |
殷猛, 李琪. 基于保护动机理论的健康APP用户使用研究[J]. 现代情报, 2016, 36(7): 63-70.
doi: 10.3969/j.issn.1008-0821.2016.07.012
|
[12] |
(Yin Meng, Li Qi.An Empirical Study on the Intention of Healthcare Application Usage Based on the PMT[J]. Journal of Modern Information, 2016, 36(7): 63-70.)
doi: 10.3969/j.issn.1008-0821.2016.07.012
|
[13] |
Oliver R L.A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions[J]. Journal of Marketing Research, 1980, 17(4): 460-469.
doi: 10.2307/3150499
|
[14] |
Bhattacherjee A.Understanding Information Systems Continuance: An Expectation-Confirmation Model[J]. MIS Quarterly, 2001, 25(3): 351-370.
doi: 10.2307/3250921
|
[15] |
Nardi B A, O’Day V L. Information Ecologies: Using Technology with Heart[M]. Cambridge: MIT Press, 1999.
|
[16] |
王晰巍, 曹茹烨, 杨梦晴, 等. 微信用户信息共享行为影响因素模型及实证研究——基于信息生态视角的分析[J]. 图书情报工作, 2016, 60(15): 6-13.
doi: 10.13266/j.issn.0252-3116.2016.15.001
|
[16] |
(Wang Xiwei, Cao Ruye, Yang Mengqing, et al.An Empirical Study of Influence Factors on WeChat User Information Sharing Behavior: Based on the Perspective of Information Ecology[J].Library and Information Service, 2016, 60(15): 6-13.)
doi: 10.13266/j.issn.0252-3116.2016.15.001
|
[17] |
王晰巍, 刘铎. 企业信息生态系统的要素及评价指标构建研究[J]. 图书情报工作, 2010, 54(16): 22-25.
|
[17] |
(Wang Xiwei, Liu Duo.Research of the Elements and Evaluation Index Construction of Enterprise Information Ecological System[J]. Library and Information Service, 2010, 54(16): 22-25.)
|
[18] |
Davis F D. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology[J]. MIS Quarterly, 1989, 13(3): 319-340.
doi: 10.2307/249008
|
[19] |
Johnson E J, Payne J W.Effort and Accuracy in Choice[J]. Management Science, 1985, 31(4): 395-414.
|
[20] |
Chou C H, Wang Y S, Tang T I.Exploring the Determinants of Knowledge Adoption in Virtual Communities: A Social Influence Perspective[J]. International Journal of Information Management, 2015, 35(3): 364-376.
doi: 10.1016/j.ijinfomgt.2015.02.001
|
[21] |
Gudigantala N, Song J, Jones D.User Satisfaction with Web-based DSS: The Role of Cognitive Antecedents[J]. International Journal of Information Management, 2011, 31(4): 327-338.
doi: 10.1016/j.ijinfomgt.2010.10.009
|
[22] |
Rogers R W.A Protection Motivation Theory of Fear Appeals and Attitude Change[J]. Journal of Psychology Interdisciplinary & Applied, 1975, 91(1): 93-114.
doi: 10.1080/00223980.1975.9915803
pmid: 28136248
|
[23] |
Norman C D, Skinner H A. eHealth Literacy: Essential Skills for Consumer Health in a Networked World[J]. Journal of Medical Internet Research, 2006, 8(2): e9.
doi: 10.2196/jmir.8.2.e9
pmid: 1550701
|
[24] |
Barak A, Hen L, Nissim M B, et al.A Comprehensive Review and a Meta-Analysis of the Effectiveness of Internet-Based Psychotherapeutic Interventions[J]. Journal of Technology in Human Services, 2008, 26(2-4): 109-160.
doi: 10.1080/15228830802094429
pmid: 0026877
|
[25] |
McCrone P, Knapp M, Proudfoot J G, et al. Cost- Effectiveness of Computerised Cognitive-Behavioural Therapy for Anxiety and Depression in Primary Care: Randomised Controlled Trial[J]. The British Journal of Psychiatry, 2004, 185(1): 55-62.
doi: 10.1192/bjp.185.1.55
pmid: 15231556
|
[26] |
Parasuraman A, Zeithaml V A, Berry L L.SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality[J]. Journal of Retailing, 1988, 64(1): 12-40.
doi: 10.1016/0737-6782(88)90045-8
|
[27] |
Du J, Lu J, Wu D, et al.User Acceptance of Software as a Service: Evidence from Customers of China’s Leading E-Commerce Company, Alibaba[J]. Journal of Systems & Software, 2013, 86(8): 2034-2044.
doi: 10.1016/j.jss.2013.03.012
|
[28] |
Wu J H, Wang S C, Lin L M.Mobile Computing Acceptance Factors in the Healthcare Industry: A Structural Equation Model[J]. International Journal of Medical Informatics, 2007, 76(1): 66-77.
doi: 10.1016/j.ijmedinf.2006.06.006
pmid: 16901749
|
[29] |
Katz M L, Shapiro C. Network Externalities, Competition, and Compatibility[J]. American Economic Review, 1985, 75(3): 424-440.
|
[30] |
Zhou T.The Effect of Network Externality on Mobile Social Network Site Continuance[J]. Program, 2015, 49(3): 289-304.
doi: 10.1108/PROG-10-2014-0078
|
[31] |
Dağhan G, Akkoyunlu B.Modeling the Continuance Usage Intention of Online Learning Environments[J]. Computers in Human Behavior, 2016, 60(C): 198-211.
doi: 10.1016/j.chb.2016.02.066
|
[32] |
Shin B, Lee S, Lee H G.Examining an Extended Duality Perspective Regarding Success Conditions of IT Service[J]. International Journal of Information Management, 2016, 36(2): 226-239.
doi: 10.1016/j.ijinfomgt.2015.11.012
|
[33] |
Johnston A C, Warkentin M.Fear Appeals and Information Security Behaviors: An Empirical Study[J]. MIS Quarterly, 2010, 34(3): 549-566.
doi: 10.1515/libr.2010.017
|
[34] |
Sun Y Q, Wang N, Guo X T, et al.Understanding the Acceptance of Mobile Health Services: A Comparison and Integration of Alternative Models[J]. Journal of Electronic Commerce Research, 2013, 14(2): 183-200.
doi: 10.1108/10662241311331781
|
[35] |
Norman C D, Skinner H A. eHEALS: The eHealth Literacy Scale[J]. Journal of Medical Internet Research, 2006, 8(4): e27.
doi: 10.2196/jmir.8.4.e27
pmid: 17213046
|
[36] |
Cho J, Quinlan M M, Park D, et al.Determinants of Adoption of Smartphone Health Apps among College Students[J]. American Journal of Health Behavior, 2014, 38(6): 860-870.
doi: 10.5993/AJHB.38.6.8
pmid: 25207512
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