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Original Articles

Users’ intention to continue using social fitness-tracking apps: expectation confirmation theory and social comparison theory perspective

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References

  • World Health Organization. Global health risks. Mortality and Burden of Disease Attributable to Selected Major Risks. 2009 [accessed 2017 Jun 01]. http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf.
  • Middelweerd A, Mollee JS, Van Der Wal CN, Brug J, Te Velde SJ. Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act. 2014;11(1):97.
  • Nielsen: 46 million people used fitness apps in January 2014. 2017 Jun 01. http://www.mobihealthnews.com/32183/nielsen-46-million-people-used-fitness-apps-in-january/.
  • Pew Research Center. Device ownership. 2017 Jun 01. http://www.pewresearch.org/data-trend/media-and-technology/device-ownership/.
  • West JH, Hall PC, Hanson CL, Barnes MD, Giraud-Carrier C, Barrett J. There’s an app for that: content analysis of paid health and fitness apps. J Med Internet Res. 2012;14(3):e72.
  • Higgins JP. Smartphone applications for patients’ health and fitness. Am J Med. 2016;129(1):11–19.
  • Fitbit quitters? Fitness trackers often abandoned within months 2015. http://www.cbc.ca/news/technology/fitbit-quitters-fitness-trackers-often-abandoned-within-months-1.3144534.
  • Hamari J, Koivisto J. “Working out for likes”: an empirical study on social influence in exercise gamification. Comput Human Behav. 2015;50:333–47.
  • Chen Y, Pu P, editors. HealthyTogether: exploring social incentives for mobile fitness applications. Proceedings of the Second International Symposium of Chinese CHI; 2016 May 7–12; San Jose, CA. New York, NY: ACM; 2016:2906–2914.
  • Miller AS, Cafazzo JA, Seto E. A game plan: gamification design principles in mHealth applications for chronic disease management. Health Informatics J. 2016;22(2):184–93.
  • Mauriello M, Gubbels M, Froehlich JE, editors. Social fabric fitness: the design and evaluation of wearable E-textile displays to support group running. Proceedings of the 32nd annual ACM conference on Human factors in computing systems; 2014 Apr 26–May 1; Toronto, ON. New York, NY: ACM.
  • De Zambotti M, Claudatos S, Inkelis S, Colrain IM, Baker FC. Evaluation of a consumer fitness-tracking device to assess sleep in adults. Chronobiol Int. 2015;32(7):1024–28.
  • Sama PR, Eapen ZJ, Weinfurt KP, Shah BR, Schulman KA. An evaluation of mobile health application tools. JMIR mHealth and uHealth. 2014;2(2):e19.
  • Krebs P, Duncan DT. Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth. 2015;3(4):e101.
  • Yuan S, Ma W, Kanthawala S, Peng W. Keep using my health apps: discover users’ perception of health and fitness apps with the UTAUT2 model. Telemed e-Health. 2015;21(9):735–41.
  • Oliver RL. A cognitive model of the antecedents and consequences of satisfaction decisions. J Marketing Res. 1980;17(4):460–69.
  • Bhattacherjee A. Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly. 2001;25(3):351–70.
  • Limayem M, Cheung CM. Understanding information systems continuance: the case of Internet-based learning technologies. Inf Management. 2008;45(4):227–32.
  • De Melo Pereira FA, Ramos ASM, Gouvêa MA, Da Costa MF. Satisfaction and continuous use intention of e-learning service in Brazilian public organizations. Comput Human Behav. 2015;46:139–48.
  • Hossain MA, Quaddus M. Expectation–confirmation theory in information system research: a review and analysis. In: Information systems theory. New York, NY: Springer; 2012. p. 441–69.
  • Oliver RL. Effect of expectation and disconfirmation on postexposure product evaluations: an alternative interpretation. J Appl Psychol. 1977;62(4):480–86.
  • Festinger L. A theory of social comparison processes. Hum Relations. 1954;7(2):117–40.
  • Wood JV. Theory and research concerning social comparisons of personal attributes. Psychol Bull. 1989;106(2):231.
  • Tesser A, Millar M, Moore J. Some affective consequences of social comparison and reflection processes: the pain and pleasure of being close. J Pers Soc Psychol. 1988;54(1):49–61.
  • Gibbons FX. Social comparison and depression: company’s effect on misery. J Pers Soc Psychol. 1986;51(1):140–48.
  • TechNode. WeChat user & business ecosystem report 2017. 2017 Jun 07. http://technode.com/2017/04/24/wechat-user-business-ecosystem-report-2017/.
  • Pitt LF, Watson RT, Kavan CB. Service quality: a measure of information systems effectiveness. MIS Quarterly. 1995;19(2):173–87.
  • Chin WW. Issues and opinion on structural equation modeling. MIS Quarterly. 1998;22(1):1–14.
  • Campbell DT, Fiske DW. Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull. 1959;56(2):81.
  • Wetzels M, Odekerken-Schröder G, Van Oppen C. Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quarterly. 2009;33(1):177–95.
  • O’Leary-Kelly SW, Vokurka RJ. The empirical assessment of construct validity. J Oper Manage. 1998;16(4):387–405.
  • McKnight DH, Choudhury V, Kacmar C. Developing and validating trust measures for e-commerce: an integrative typology. Inf Syst Res. 2002;13(3):334–59.
  • Anderson JC, Gerbing DW. Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull. 1988;103(3):411–23.
  • Komiak SY, Benbasat I. The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly. 2006;30(4):941–60.
  • Awad NF, Krishnan MS. The personalization privacy paradox: an empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quarterly. 2006;30(1):13–28.
  • Tavares J, Oliveira T. Electronic health record patient portal adoption by health care consumers: an acceptance model and survey. J Med Internet Res. 2016;18(3):e49.
  • Preacher KJ, Hayes AF. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods. 2004;36(4):717–31.
  • Bhattacherjee A, Hikmet N. Physicians’ resistance toward healthcare information technology: a theoretical model and empirical test. Eur J Inf Syst. 2007;16(6):725–37.
  • Baron RM, Kenny DA. The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6):1173.
  • Taylor SE, Lobel M. Social comparison activity under threat: downward evaluation and upward contacts. Psychol Rev. 1989;96(4):569–75.
  • Collins RL. For better or worse: the impact of upward social comparison on self-evaluations. Psychol Bull. 1996;119(1):51–69.
  • Cho J. The impact of post-adoption beliefs on the continued use of health apps. Int J Med Inform. 2016;87:75–83.
  • Choi BC, Lee NT, editors. A study on mobile fitness application usage. International Conference on HCI in Business; 2015Aug 2–7; Los Angeles, CA. Cham: Springer; 2015.
  • Luszczynska A, Gibbons FX, Piko BF, Tekozel M. Self-regulatory cognitions, social comparison, and perceived peers’ behaviors as predictors of nutrition and physical activity: a comparison among adolescents in Hungary, Poland, Turkey, and USA. Psychol Health. 2004;19(5):577–93.
  • Arigo D, Schumacher LM, Pinkasavage E, Butryn ML. Addressing barriers to physical activity among women: a feasibility study using social networking-enabled technology. Digital Health. 2015;1:2055207615583564.
  • Zhang J, Brackbill D, Yang S, Becker J, Herbert N, Centola D. Support or competition? How online social networks increase physical activity: a randomized controlled trial. Preventive Med Rep. 2016;4:453–58.
  • Liu C-W, Agarwal R, Gao G, editors. The dark side of positive social influence. The 2016 International Conference on Information Systems (ICIS 2016); 2016; Dublin, Ireland.
  • Mollee JS, Klein MC, editors. The effectiveness of upward and downward social comparison of physical activity in an online intervention. International Conference on Ubiquitous Computing and Communications and 2016 International Symposium on Cyberspace and Security (IUCC-CSS); 2016; Granada, Spain: IEEE.

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