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Underlying Factors Behind Adoption of Wearable Technology on Indian Market: A Literature Review


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1 Punjabi University Regional Centre for IT and Management, Mohali, Punjab, India
     

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Future advancements in technology, particularly smart fitness devices, are vital to the future of health and general well-being. Wearable technology is growing at a rapid pace from developed countries to developing countries. Using various ideas and approaches, researchers from a range of fields have examined how consumers are embracing wearable devices like smartwatches. In an effort to understand how consumer behaviour differs on the basis of various factors associated with wearable technology like its affordability, lifestyle, demography and its adoption and purchase we analysed various research papers. The goals of this article are to review the research on consumers' acceptance of wearable technology and various theories applied and to pinpoint the elements that affected consumers' choices to adopt these technologies.

Keywords

wearables, wearable technology, consumer behavior
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  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. Doi:10.1016/0749-5978(91)90020-T.

  • Adapa, A., Fui-Hoon, F. N., Richard, H. H., Keng, S., & Smith, S.N. (2018). Factors influencing the adoption of smart wearable devices. International Journal of Human Computer Interaction, 34(5), 399-409. DOI: 10.1080/10447318.2017.1357902

  • Awolusi, I., Marks, E., & Hallowell, M. (2018). Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices. Automation in Construction, 85, 96-106. https://doi.org/10.1016/j.autcon.2017.10.010

  • Bansal, H.S., Taylor, S.F., & James, Y.S. (2005). Migrating to new service providers: Toward a unifying framework of consumers' switching behaviors. Journal of the Academy of Marketing Science, 33, 96-115. https://doi.org/10.1177/00920703 04267928

  • Blazquez, M., Alexander, B., & Fung, K. (2020). Exploring Millennial's perceptions towards luxury fashion wearable technology. Journal of Fashion Marketing and Management: An International Journal, 24(3), 343-359.

  • Braun, M. T. (2013). Obstacles to social networking website use among older adults. Computers in Human Behavior, 29(3), 673-680.

  • Chan, M., Estève, D., Fourniols, J. Y., Escriba, C., & Campo, E. (2012). Smart wearable systems: current status and future challenges. Artificial Intelligence in Medicine, 56(3), 137-156. https://doi.org/10.1016/j.artmed.2012.09.003

  • Chatterjee, A., & Gupta, D. (2017, May). A study on the factors influencing the adoption/usage of wearable gadgets. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 1632-1635). IEEE.

  • Debnath, A., Kobra, K. T., Rawshan, P. P., Paramita, M., & Islam, M. N. (2018). An explication of acceptability of wearable devices in context of Bangladesh: A user study. 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), 2018, pp. 136-140, doi: 10.1109/FiCloud.2018.00027.

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

  • Dehghani, M., Kim, K.J., & Dangelico, R.M. (2018). Will smartwatches last? factors contributing to intention to keep using smart wearable technology. Telematics and Informatics, 9(2), S0736585317307141. Doi:10.1016/j.tele.2018.01.007

  • Delabrida Silva, S. E., Rabelo Oliveira, R. A., & Loureiro, A. A. F. (Eds.) (2017). Examining developments and applications of wearable devices in modern society. IGI Global

  • Demir, K. (2006). Rogers' theory of the diffusion of innovations and online course registration. Educational Administration: Theory and Practice, 47, 386-392.

  • El-Gayar, O., Elnoshokaty, A., & Behrens, A. (2021). Understanding design features for continued use of wearable devices. AMCIS 2021 Proceedings. 10. https://aisel.aisne t.org/amcis2021/healthcare_it/sig_health/10

  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.Reading, MA, Addison Wesley.

  • Gupta, A., Dhiman, N., Yousaf, A., & Arora, N. (2020). Social comparison and continuance intention of smart fitness wearables: An extended expectation confirmation theory perspective. Behaviour and Information Technology, 40(13), 1341–1354. DOI: 10.1080/0144929X.2020.1748715

  • Goodhue, D.L., & Thompson, R.L. (1995). Task-technology fit and individual performance. MIS Quarterly, 192, 213.

  • Hayes (2022, July 10). What is wearable technology (wearables)? Definition and Examples. Investopedia. Retrieved December 9, 2022, from https://www.inve stopedia.com/terms/w/wearable-technology.asp

  • Hernández, G. J. L. (2019). Wearable technology: shaping market opportunities through innovation, learning, and networking. Reverse Entrepreneurship in Latin America (pp. 29-44). Palgrave Pivot, Cham.

  • IDC (February 2020). India's wearable market ship record 14.9 million units in 2019: growth led by ear-worn devices, says IDC India. International Data Corporation. https://www.idc.com/getdoc.jsp?containerId=prAP46093320

  • IDC (15 March 2021). Consumer enthusiasm for wearable devices drives the market to 28.4% growth in 2020, according to IDC. https://www.idc.com/getdoc.js p?containerId=prUS47534521

  • Kalantari, M. (2017). Consumers' adoption of wearable technologies: literature review, synthesis, and future research agenda. International Journal of Technology Marketing, 12(3), PMC6650855. DOI: 10.1504/IJTMKT.2017.089665

  • Khakurel, J., Melkas, H., & Porras, J. (2018). Tapping into the wearable device revolution in the work environment: A systematic review. Information Technology and People, 31(3), 791-818. https://doi.org/10.1108/ITP-03-2017-0076

  • King,C.,&Sarrafzadeh,M.(2018).Asurvey ofsmartwatchesin remotehealthmonitoring. JournalofHealthcare InformaticsResearch,2,1.10.1007/s41666-017-0012-7.

  • Koo, S.H. (2017). Consumer differences in the United States and India on wearable trackers. Family and Consumer Sciences Research Journal, 46(1), 40-56.Doi:10.1111/fcsr.12230

  • Kranthi, A. K., & Ahmed, K. A. (2018). Determinants of smartwatch adoption among IT professionals-an extended UTAUT2 model for smartwatch enterprise. International Journal of Enterprise Network Management, 9(3-4), 294-316.

  • Lee, E. S. (1966). Atheory of migration. Demography, 3(1), 47-57.

  • Lin,C. H., Shih, H.Y., & Sher, P.J.(2007).Integrating technology readinessinto technology acceptance:TheTRAMmodel.PsychologyandMarketing,24(7),641-657.

  • Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: Atest of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339-346.

  • Moon, B. (1992). Paradigm in migration research: Exploring 'moorings' as a schema. Progress in Human Geography, 19, 504-524.

  • Nanda, S. (2017). A study on the customer awareness of wearable technology (with a special reference to Delhi/NCR). International Journal of Multidisciplinary and Current Research, 5, 293-298.

  • Nayak, B., Bhattacharyya, S.S., & Krishnamoorthy, B. (2019). Integrating wearable technology products and big data analytics in business strategy: A study of health insurance firms. Journal of Systems and Information Technology, 21(2), 255-275

  • Nayak, B., Bhattacharyya, S.S., Kumar, S., & Jumnani, R.K. (2022). Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India. Journal of Information, Communication and Ethics in Society, 20(1), 150-174. https://doi.org/10.1108/JICES-07-2021-0072

  • Page, T. (2015). A forecast on the adoption of wearable technology. International Journal of Technology Diffusion, 6(2), 18. DOI: 10.4018/IJTD.2015040102

  • Page, T. (2015). Barriers to the adoption of wearable technology. I-manager's Journal of Information Technology, 4(3), 1-13. https://doi.org/10.26634/jit.4.3.

  • Park, E. (2020). User acceptance of smart wearable devices: An expectationconfirmation model approach. Telematics and Informatics, 47(), 101318.Doi:10.1016/j.tele.2019.101318

  • Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Re- search, 2(4), 307-320.

  • Prakash, A. C., Pandey, M. K., & Pareek, M. (2018). Wearables technology: Awareness, adoption and applications in Indian health insurance industry. Turkish Journal of Physiotherapy and Rehabilitation, 32, 3.

  • Raman, P., & Aashish, K. (2022). Gym users: An enabler in creating an acceptance of sports and fitness wearable devices in India. International Journal of Sports Marketing and Sponsorship, 23(4), 707-726. Https://doi.org/10.1108/IJSMS-082021-0168

  • Rogers, E.M. (1962). Diffusion of innovations (1st ed.). New York: Free Press of Glencoe. OCLC 254636

  • Roy, N., & Gretzel, U. (2020). Themed route marketing in India. Anatolia, 31(2), 304-315.

  • Sergueeva, K., Shaw, N., & Lee, S.H. (Mark) (2019). Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health. Canadian Journal of Administrative Sciences / RevueCanadienne des Sciences de l'Administration, cas, 1547--. Doi:10.1002/cjas.1547

  • Shahmohammadi, F., Hosseini, A., King C., E., & Sarrafzadeh, M. (2017). Smartwatchbased activity recognition using active learning. 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 321-329, doi: 10.1109/CHASE.2017.115

  • Sinha, N., & Gupta, M. (2019). Taxonomy of wearable devices: A systematic review of the literature. International Journal of Technology Diffusion, 10(2), 17. DOI: 10.4018/IJTD.2019040101

  • Sivathanu, B. (2018). Adoption of internet of things (IOT) based wearables for healthcare of older adults a behavioural reasoning theory (BRT) approach. Journal of Enabling Technologies, 12(4), 169-185. Https://doi.org/10.1108/JET-12-2017-0048

  • Talukder, M.S., Chiong, R., Bao, Y., & Hayat, M. B. (2018). Acceptance and use predictors of fitness wearable technology and intention to recommend. Industrial Management and Data Systems. IMDS-01-2018-0009. Doi:10.1108/IMDS-01- 2018-0009

  • Viswanath, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. doi:10.2307/30036540. JSTOR 30036540. S2CID 14435677.

  • Vichitvanichphong, S., Talaei-Khoei, A., Kerr, D., & Ghapanchi, A.H. (2014). Adoption of assistive technologies for aged care: A realist review of recent studies. Proceedings of the 2014 47th Hawaii International Conference on System Sciences. DOI:10.1109/HICSS.2014.341

  • Wang, H., Tao, D., Yu, N., & Qu, X. (2020). Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUTand TTF. International Journal of Medical Informatics, 139, 104156.

  • Westaby, J.D. (2005). Behavioral reasoning theory: Identifying new linkages underlying intentions and behavior. Organizational Behavior and Human Decision Processes, 98, 97-120

  • Zhang, M., Luo, M., Nie, R., & Zhang, Y. (2017). Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology. International Journal of Medical Informatics, 108, 97-109.


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  • Underlying Factors Behind Adoption of Wearable Technology on Indian Market: A Literature Review

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Authors

Mansi Phogat
Punjabi University Regional Centre for IT and Management, Mohali, Punjab, India
Tarannum Mohan
Punjabi University Regional Centre for IT and Management, Mohali, Punjab, India

Abstract


Future advancements in technology, particularly smart fitness devices, are vital to the future of health and general well-being. Wearable technology is growing at a rapid pace from developed countries to developing countries. Using various ideas and approaches, researchers from a range of fields have examined how consumers are embracing wearable devices like smartwatches. In an effort to understand how consumer behaviour differs on the basis of various factors associated with wearable technology like its affordability, lifestyle, demography and its adoption and purchase we analysed various research papers. The goals of this article are to review the research on consumers' acceptance of wearable technology and various theories applied and to pinpoint the elements that affected consumers' choices to adopt these technologies.

Keywords


wearables, wearable technology, consumer behavior

References