Instrument’s Reliability and Validity of Continuance Intention toward Using Mobile Fitness Apps Model: Pilot Study

Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514-538. https://doi.org/10.1108/ijchm-10-2016-0568
Aljabali, R. N., & Ahmad, N. (2022). Profile of Fitness and Diet App Users in Online Wellness Social Communities in Malaysia: Cross-Sectional Pilot Study. The International Conference of Advanced Computing and Informatics.
Amagai, S., Pila, S., Kaat, A. J., Nowinski, C. J., & Gershon, R. C. (2022, Apr 26). Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. J Med Internet Res, 24(4), e35120. https://doi.org/10.2196/35120
Aydin, S., Ozer, G., & Arasil, O. (2005). Customer loyalty and the effect of switching costs as a moderator variable. Marketing Intelligence & Planning, 23(1), 89-103. https://doi.org/10.1108/02634500510577492
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
Cheng, L. K., Huang, H.-L., & Lai, C.-C. (2021). Continuance intention in running apps: the moderating effect of relationship norms. International Journal of Sports Marketing and Sponsorship, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ijsms-08-2020-0143
Ding, Y. (2019). Looking forward: The role of hope in information system continuance. Computers in Human Behavior, 91, 127-137.
https://doi.org/10.1016/j.chb.2018.09.002
Flake, J. K., Davidson, I. J., Wong, O., & Pek, J. (2022). Construct validity and the validity of replication studies: A systematic review. American Psychologist, 77, 576-588. https://doi.org/10.1037/amp0001006
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research, 29(3), 430-447. https://doi.org/10.1108/IntR-12-2017-0515
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications.
https://books.google.com.my/books?id=JDWmCwAAQBAJ
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
https://doi.org/10.1108/ebr-11-2018-0203
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2022). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Huang, C.-K., Chen, S.-H., Tang, C.-P., & Huang, H.-Y. (2019). A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics, 100. https://doi.org/10.1016/j.jbi.2019.103302
Huang, G., & Ren, Y. (2020). Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior, 103, 151-160.
https://doi.org/https://doi.org/10.1016/j.chb.2019.09.013
Kim, M.-K., Park, M.-C., Park, J.-H., Kim, J., & Kim, E. (2018). The role of multidimensional switching barriers on the cognitive and affective satisfaction-loyalty link in mobile communication services: Coupling in moderating effects. Computers in Human Behavior, 87, 212-223. https://doi.org/10.1016/j.chb.2018.05.024
Kwon, J. Y., Lee, J. S., & Park, T. S. (2022). Analysis of Strategies to Increase User Retention of Fitness Mobile Apps during and after the COVID-19 Pandemic. Int J Environ Res Public Health, 19(17). https://doi.org/10.3390/ijerph191710814
Li, A., Sun, Y., Guo, X., Guo, F., & Guo, J. (2021). Understanding how and when user inertia matters in fitness app exploration: A moderated mediation model. Information Processing & Management, 58(2), 102458.
https://doi.org/10.1016/j.ipm.2020.102458
Lowe, N. K. (2019). What Is a Pilot Study? J Obstet Gynecol Neonatal Nurs, 48(2), 117-118. https://doi.org/10.1016/j.jogn.2019.01.005
Research, G. V. (2023). mHealth Apps Market Size, Share & Trends Analysis Report By Type (Fitness, Medical), By Region (North America, Europe, Asia Pacific, Latin America, Middle East & Africa), And Segment Forecasts, 2023 - 2030. Retrieved 25-03-2023 from https://www.grandviewresearch.com/industry-analysis/mhealth-app-market
Silic, M., Barlow, J. B., & Back, A. (2017). A new perspective on neutralization and deterrence: Predicting shadow IT usage. Information & Management, 54(8), 1023-1037. https://doi.org/10.1016/j.im.2017.02.007
Siponen, M., Puhakainen, P., & Vance, A. (2020). Can individuals’ neutralization techniques be overcome? A field experiment on password policy. Computers & Security, 88. https://doi.org/10.1016/j.cose.2019.101617
Soliman, W., & Rinta-Kahila, T. (2020). Toward a refined conceptualization of IS discontinuance: Reflection on the past and a way forward. Information & Management, 57(2), 103167. https://doi.org/10.1016/j.im.2019.05.002
Statista. (2021). Global health and fitness app downloads as of Q2 2020. https://www.statista.com/statistics/1127248/health-fitness-apps-downloads-worldwide/
Sykes, G. M., & Matza, D. (1957). Techniques of neutralization: A theory of delinquency. American sociological review, 22(6), 664-670.
Taherdoost, H. (2016). Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. How to test the validation of a questionnaire/survey in a research (August 10, 2016).
Taherdoost, H. (2019). What is the best response scale for survey and questionnaire design; review of different lengths of rating scale/attitude scale/Likert scale. Hamed Taherdoost, 1-10.
Turel, O. (2017). Untangling the complex role of guilt in rational decisions to discontinue the use of a hedonic Information System. European Journal of Information Systems, 25(5), 432-447. https://doi.org/10.1057/s41303-016-0002-5
Van Teijlingen, E., & Hundley, V. (2001). The importance of pilot studies. Social research update(35), 1-4.
Vance, A., Siponen, M., & Pahnila, S. (2012). Motivating IS security compliance: Insights from Habit and Protection Motivation Theory. Information & Management, 49(3-4), 190-198. https://doi.org/10.1016/j.im.2012.04.002
Vinnikova, A., Lu, L. D., Wei, J. C., Fang, G. B., & Yan, J. (2020, Oct). The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation. International Journal of Environmental Research and Public Health, 17(20). https://doi.org/10.3390/ijerph17207639
Wang, K. (2015). Determinants of mobile value-added service continuance: The mediating role of service experience. Information & Management, 52(3), 261-274. https://doi.org/10.1016/j.im.2014.11.005
Ye, Q., Luo, Y., Chen, G., Guo, X., Wei, Q., & Tan, S. (2019, 2019/02/01). Users Intention for Continuous Usage of Mobile News Apps: the Roles of Quality, Switching Costs, and Personalization. Journal of Systems Science and Systems Engineering, 28(1), 91-109. https://doi.org/10.1007/s11518-019-5405-0
Yin, Q., Li, L., Yan, Z., & Guo, C. (2021). Understanding the effects of self-peer-platform incentives on users' physical activity in mobile fitness apps: the role of gender. Information Technology & People, ahead-of-print(ahead-of-print). https://doi.org/10.1108/itp-10-2020-0705
Yousaf, A., Mishra, A., & Gupta, A. (2021). ‘From technology adoption to consumption’: Effect of pre-adoption expectations from fitness applications on usage satisfaction, continual usage, and health satisfaction. Journal of Retailing and Consumer Services, 62, 102655. https://doi.org/10.1016/j.jretconser.2021.102655
Yusoff, M. S. B. (2019). ABC of Content Validation and Content Validity Index Calculation. Education in Medicine Journal, 11(2), 49-54.
https://doi.org/10.21315/eimj2019.11.2.6
Zhang, X. X., & Xu, X. G. (2020, Sep). Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International Journal of Nursing Sciences, 7, 580-587. https://doi.org/10.1016/j.ijnss.2020.07.009
Zheng, L. (2019). The role of consumption emotions in users’ mobile gaming application continuance intention. Information Technology & People, 33(1), 340-360. https://doi.org/10.1108/itp-04-2018-0197

(Aljabali & Ahmad, 2024)
Aljabali, R. N., & Ahmad, N. (2024). Instrument’s Reliability and Validity of Continuance Intention toward Using Mobile Fitness Apps Model: Pilot Study. International Journal of Academic Research in Business and Social Sciences, 14(1), 1058–1074.

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