Global Journal of Management and Business Research, E: Marketing, Volume 23 Issue 1

Understanding the Age Differences in Adopting WFTs: An Extension of the UTAUT2 Model 16 Global Journal of Management and Business Research Volume XXIII Issue I Version I Year 2023 ( )E © 2023 Global Journals 55. Lidynia, C., Brauner, P., and Ziefle, M. (2018) A Step in the Right Direction – Understanding Privacy Concerns and Perceived Sensitivity of Fitness Trackers. Springer International Publishing AG 2018 56. Mahedo, J. D., 2009. Towards an understanding of the factors influencing the acceptance and diffusion of e-government service. In proceedings of the European Conference on e-Government, ECEG, 451-460. 57. Marcoulides, G. A. and Saunders, C. (2006), “PLS: a silver bullet?”, MIS Quarterly, Vol. 30 No. 2, pp. iii- ix. DOI: 10.2307/25148727 58. McCarty, J, Shrum, L. (1993). The role of personal values and demographicsin predicting television viewing behavior: Implications for theory and application. Journal of Advertising 22 (4), 77-101. 59. Mercer, K., Li, M., Giangregorio, L., Burns, C., and Grindrod, K. “Behavior change techniques present in wearable activity trackers: a critical analysis,”. JMIR mHealth and uHealth, vol. 4, no. 2, 2016. http://dx.doi.org/10.2196/mhealth.4461. 60. Minton, H. L., Schneider, F. W. (1980). Differential- psychology. Prospect Heights, I L Waveland. 61. Moniruzzaman, M., Mostafa M. Z., Islalm M. S., Ahasan H. A. M. N., Kabir H., Yasmin R. Physical activity levels in Bangladeshi adults: results from STEPS survey 2010, Public Health (2016), http:// dx.doi.org/10.1016/j.puhe.2016.02.028. 62. Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing work force. Personnel psychology, 53 (2), 375-403. 63. Oliveira, T., Thomas, M., Baptista, G. and Campos, F. (2016), “Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology”, Computers in Human Behavior, Vol. 61, pp. 404-414 .https://doi.org/ 10.1016/j.chb.2016.03.030 64. Owen, J., Archibald, D., & Wickramanayake, D. (2019). The Willingness to Adopt Fitness Wearables in Jamaica: A Study on Wearable Fitness Trackers in Kingston and St. Andrew. 65. Patel M. S.; Asch D. A., Volpp K. G. wearable Devices as facilitators, not drivers, of health behavior ChangeWearable Devices and health behavior ChangeWearable Devices and health behavior change. J Am Med Assoc 2015; 313(5): 459-60. https://doi.org/10.1001/jama.2014.14781 66. Podsakoff, P. M., MacKenzie, S.B., Lee, J.-Y., Podsakoff, N. P., 2003. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. (88: 5), 879. 67. Połap, D. et al (2018) An intelligent system for monitoring skin diseases. Sensors 18 (8): 2552 68. Population Division, Department of Economic and Social Affairs, United Nations. World Population Ageing2015. Available online: http://www.un.org/en/ development/desa/population/publications/pdf/agei ng/ WPA2015_Report.pdf (accessed on 7 January 2017). 69. Powell, K. E., Thompson, P. D., Caspersen, C. J., Frod, E. S. Physicalactivity and incidence of coronary heart disease. Annu RevPublic Health 1987; 8: 253-87. 70. Prescient & Strategic Intelligence (February, 2018). Wearable Fitness Trackers Market (2013–2023) (Report No: LS11415). Retrieved from: https://www. psmarketresearch.com/market-analysis/wearable- fitness-trackers-market. 71. Rahia, S., Ghanib, M. A., Alnasera, F. M., & Hafa, A. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 8 (3), 173–186. 72. Rejcek, P. (2016). Why are millions of people ditching their wearable devices? Retrieved from https://singularityhub.com/2016/10/06/why ‐ are ‐ milli ons ‐ of ‐ people ‐ ditching ‐ their ‐ wearable devices/#sm. 0001cb3azs56mdxgyl51gfp0vh6fu 73. Reyes ‐ Mercado, P. (2018). Adoption of fitness wearables: Insights from partial least squares and qualitative comparative analysis. Journal of Systems and Information Technology, 20 (1), 103–127 74. Rogers, E. M. (1995). Diffusion of innovations. New York, NY, USA: The Free Press. 75. Sagib, G. K., & Zapan, B. (2014). Bangladeshi mobile banking service quality and customer satisfaction and loyalty. Management & Marketing, 9 (3). 76. Salah, H., MacIntosh, E., & Rajakulendran, N (2014). Wearable tech: Leveraging Canadian innovation to improve health. Retrieved from www.marsdd.com/ news ‐ insights/mars ‐ reports 77. Sarstedt, M., Henseler, J., & Ringle, C. M., 2011. Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. In Measurement and research methods in international marketing, 195–218. 78. Sergueeva, K., Shaw, N., & Lee, S. H. (2020). Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 37 (1), 45-60. 79. Sharit, J., & Czaja, S. J. (2017). Technology and work: implications for older workers and organi- zations. Innovation in Aging, 1(suppl_1), 1026–1026. doi:10.1093/geroni/igx004.3735.

RkJQdWJsaXNoZXIy NTg4NDg=