Abstract
This article presents the issue of using and recognizing Wearable Technology by young consumers. The review of literature and reports has shown that this type of devices is increasingly common, available and allows to support digital society in leading healthy lifestyle, by monitoring health parameters. In the perspective of these factors, the authors formulated the aim of the article, which is to identify the recognition, use of and readiness for use of Wearable Devices. The study was conducted on a sample of 173 representatives of young consumers. The technique of an Internet survey based on an electronic questionnaire was used for this purpose. This research aimed to find answers to questions focusing on finding factors on which recognition, use of and readiness for use of Wearable Devices depends. The results of the survey showed that most often dependencies occur in the case of variables such as gender of respondents, age and professional status. In terms of the most important functions, the respondents indicated measurement of steps, pulse and time in motion (on your feet). Respondents also showed the greatest willingness to use Wearable Devices such as smartwatch, smartglasses and smartband. The findings of this study provide several practical implications for developers and marketers of sports wearables that can be used to better design and promote their products as well as better satisfy users’ needs.
References
Aksoy, N. C., Alan, A. K., Kabadayi, E. T., Aksoy, A. (2020). Individuals’ intention to use sports wearables: The moderating role of technophobia. International Journal of Sports Marketing and Sponsorship, 21(2), 225–245. DOI: 10.1108/IJSMS-08-2019-0083.
View in Google Scholar
Bartlett, M. (2004). Analyst: Understanding what shapes generation can help the CU market to that generation. Credit Union Journal, 8(21), 14–17.
View in Google Scholar
Bloss, R. (2015). Wearable sensors bring new benefits to continuous medical monitoring, real time physical activity assessment, baby monitoring and industrial applications. Sensor Review, 35(2), 141–145. DOI: 10.1108/SR-10-2014-722.
View in Google Scholar
Bolton, R. N., Parasuraman, A., Hoefnagels, A., Migchels, N., Kabadayi, S., Gruber, T., Komarova, Y., Solnet, D. (2013). Understanding generation Y and their use of social media: A review and research agenda, Journal of Service Management, 24(3), 245–267. DOI: 10.1108/09564231311326987.
View in Google Scholar
Buenaflor, C., Kim, H. (2012). Wearable computers in human perspective: The decision process of innovation acceptance with user issues and concerns. International Journal of Emerging Technology and Advanced Engineering, 2(11), 573–580.
View in Google Scholar
Canhoto, A. I., Arp, S. (2017). Exploring the factors that support adoption and sustained use of health and fitness wearables. Journal of Marketing Management, 33(1–2), 32–60. DOI: 10.1080/0267257X.2016.1234505.
View in Google Scholar
Chandana, D., Latha, B. (2014). A tele-medicine system for measuring heart rate, blood pressure, and drug level detection. International Journal of Engineering Development and Research, 2(1), 23–29.
View in Google Scholar
Chomistek, A. K., Chiuve, S. E., Eliassen, A. H., Mukamal, K. J., Willett W. C., Rimm, E. B. (2015). Healthy lifestyle in the primordial prevention of cardiovascular disease among young women. Journal of the American College of Cardiology, 65(1), 43–51. DOI: 10.1016/j.jacc.2014.10.024.
View in Google Scholar
Chuah, S. H., Rauschnabel, P. A., Krey, N., Nguyen, B., Ramayah, T., Lade, S. (2016). Wearable Technologies: The role of usefulness and visibility in smartwatch adoption. Computers in Human Behavior, 65, 276–284. DOI: 10.1016/j.chb.2016.07.047.
View in Google Scholar
Dalton, P. (2003). Managing the generation. ABA Washington News, 11(19), 1–3.
View in Google Scholar
Dought, K., Appleby, A. (2016). Wearable Devices to support rehabilitation and social care. Journal of Assistive Technologies, 10(1), 51–63. DOI: 10.1108/JAT-01-2016-0004.
View in Google Scholar
Evangeline, C. S., Lenin, A. (2019). Human health monitoring using wearable sensor. Sensor Review, 39(3), 364–376. DOI: 10.1108/SR-05-2018-0111.
View in Google Scholar
Feng, Y., Agosto, D. E. (2019). From health to performance: Amateur runners’ personal health information management with activity tracking technology. Aslib Journal of Information Management, 71(2), 217–240. DOI: 10.1108/AJIM-07-2018-0170.
View in Google Scholar
Fine, M. B., Gironda, J., Petrescu, M. (2017). Prosumer motivations for electronic word-of-mouth communication behaviors. Journal of Hospitality and Tourism Technology, 8(2), 280–295. DOI: 10.1108/JHTT-09-2016-0048.
View in Google Scholar
Gao, Y., Li, H., Luo, Y. (2015). An empirical study of Wearable Technology acceptance in healthcare. Industrial Management & Data Systems, 115(9), 1704–1723. DOI: 10.1108/IMDS-03-2015-0087.
View in Google Scholar
Hensel, B. K., Demiris, G., Karlen, L., Courtney, K. L. (2006). Defining obtrusiveness in home telehealth technologies: A conceptual framework. Journal of the American Medical Informatics Association, 13(4), 428–431. DOI: 10.1197/jamia.M2026.
View in Google Scholar
Hoxha, V., Zeqiraj, E. (2020). The impact of Generation Z in the intention to purchase real estate in Kosovo, Property Management, 38(1), 1–24. DOI: 10.1108/PM-12-2018-0060.
View in Google Scholar
Huh, C., Chang, H. S. (2017). An investigation of generation Y travellers’ beliefs and attitudes towards green hotel practices: A view from active and passive green generation Y travelers. International Journal of Tourism Sciences, 17(2), 126–139. DOI: 10.1080/15980634.2017.1318590.
View in Google Scholar
Jackson, L. A., Ervin, K. S., Gardner, P. D., Schmitt, N. (2001). Gender and the Internet: women communicating and men searching. Sex Roles, 44, 363–379. DOI: 10.1023/A:1010937901821.
View in Google Scholar
Khakurel, J., Melkas, H., Porras, J. (2018). Tapping into the Wearable Device revolution in the work environment: A systematic review. Information Technology & People, 31(3), 791–818. DOI: 10.1108/ITP-03-2017-0076.
View in Google Scholar
Kim, K. J., Shin, D. (2015). An acceptance model for smartwatches: Implications for the adoption of future Wearable Technology. Internet Research, 25(4), 527–541. DOI: 10.1108/IntR-05-2014-0126.
View in Google Scholar
Kim, M., Knutson, B. J., Choi, L. (2016). The effects of employee voice and delight on job satisfaction and behaviors: Comparison between employee generations. Journal of Hospitality Marketing & Management, 25(5), 563–588. DOI: 10.1108/EJTD-10-2018-0097.
View in Google Scholar
Kim, T., Chiu, W. (2019). Consumer acceptance of sports Wearable Technology: The role of technology readiness. International Journal of Sports, Marketing and Sponsorship, 20(1), 109–126. DOI: 10.1108/IJSMS-06-2017-0050.
View in Google Scholar
Kim, T., Chiu, W., Chow, M. K. F. (2019). Sport technology consumers: Segmenting users of sports Wearable Devices based on technology readiness. Sport, Business and Management: An International Journal, 9(2), 134–145. DOI: 10.1108/SBM-02-2018-0011.
View in Google Scholar
Kotler, Ph., Kartajaya, H., Setiawan, I. (2016). Marketing 4.0: Moving from traditional to digital. Hoboken, NJ: John Wiley and Sons. ISBN 9781119341208.
View in Google Scholar
Kowalczuk, J. (2018). The evolvement of online consumer behavior: The ROPO and reverse ROPO effect in Poland and Germany. Journal of Management and Business Administration. Central Europe, 26(3), 14–29. DOI: 10.7206/jmba.ce.2450-7814.233.
View in Google Scholar
Lazarevic, V. (2012). Encouraging brand loyalty in fickle generation Y consumers. Young Consumers, 13(1), 45–61. DOI: 10.1108/17473611211203939.
View in Google Scholar
Li, N., Kirkup, G. (2007). Gender and cultural differences in Internet use: A study of China and the UK. Computers & Education, 48(2), 301–317. DOI: 10.1016/j.compedu.2005.01.007.
View in Google Scholar
Liu, D., Guo, X. (2017). Can trust and social benefit really help? Empirical examination of purchase intentions for Wearable Devices. Information Development, 33(1), 43–56. DOI: 10.1177/0266666916635724.
View in Google Scholar
Lunney, A., Cunningham, N. R., Eastin, M. S. (2016). Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behavior, 65, 114–120. DOI: 10.1016/j.chb.2016.08.007.
View in Google Scholar
Lupton, D. (2016). The diverse domains of quantified selves: Self-tracking modes and dataveillance. Economy and Society, 45(1), 101–122. DOI: 10.1080/03085147.2016.1143726.
View in Google Scholar
Markets and Markets. (2017). Wearable Technology market [online, accessed: 2020-06-15]. Retrieved from: https://www.marketsandmarkets.com/PressReleases/wearable-electronics.asp.
View in Google Scholar
Markets and Markets. (2020). Wearable healthcare devices market [online, accessed: 2020-06-15]. Retrieved from: https://www.marketsandmarkets.com/PressReleases/wearable-medical-device.asp.
View in Google Scholar
Nysveen, H., Pedersen, P. E., Thorbjornsen, H. (2005). Explaining intention to use mobile chat services: Moderating effects of gender. Journal of Consumer Marketing, 22(5), 247–256. DOI: 10.1108/07363760510611671.
View in Google Scholar
Orji, R. O. (2010). Impact of gender and nationality on acceptance of a digital library: An empirical validation of nationality-based UTAUT using SEM. Journal of Emerging Trends in Computing and Information Sciences, 12, 68–79.
View in Google Scholar
Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. DOI: 10.1177/109467050024001.
View in Google Scholar
Park, E., Kim, K. J., and Kwon, S. J. (2016). Understanding the emergence of Wearable Devices as next-generation tools for health communication. Information Technology & People, 29(4), 717–732. DOI: 10.1108/ITP-04-2015-0096.
View in Google Scholar
Paul, P. (2001). Getting inside Gen Y. American Demographics, 23(9), 42–90.
View in Google Scholar
Pingo, Z., Naryan, B. (2020). “My smartwatch told me to see a sleep doctor”: A study of activity tracker use. Online Information Review, 44(2), 503–519. DOI: 10.1108/OIR-04-2018-0115.
View in Google Scholar
Seran, S., Izvercian, M. (2014). Prosumer engagement in innovation strategies: The prosumer creativity and focus model. Management Decision, 52(10), 1968–1980. DOI: 10.1108/MD-06-2013-0347.
View in Google Scholar
Sigal, R. J., Kenny, G. P., Wasserman, D. H., Castaneda-Sceppa, C., White, R. D. (2006). Physical activity/ exercise and type 2 diabetes: A consensus statement from the American diabetes association. Diabetes Care, 29(6), 1433–1438. DOI: 10.2337/dc06-9910.
View in Google Scholar
Sivasankari, P., Anbarasan, M., Moses, M. (2016). Arduino based human health care monitoring and control system. IOSR Journal of Electrical and Electronics Engineering, 11(3), 9–18. DOI: 10.9790/1676-1103010918.
View in Google Scholar
Szymanski, G., Stanislawski, R. (2018). Research online – purchase offline – a phenomenon among the young generation in the e-commerce sector. Journal of International Scientific Publications, 12(1), 185–192.
View in Google Scholar
Talukder, M. S., Choing, R., Bao, Y., Malik, B. H. (2019). Acceptance and use predictors of fitness Wearable Technology and intention to recommend: An empirical study. Industrial Management & Data Systems, 119(1), 170–188. DOI: 10.1108/IMDS-01-2018-0009.
View in Google Scholar
Tapscott, D. (1998). Growing up digital: The rise of the net generation. New York: McGraw-Hill. ISBN 0070633614.
View in Google Scholar
Van den Bergh, J., Behrer, M. (2011). How cool brands stay hot: Branding to generation Y. London: Kogan Page. ISBN 9780749462505.
View in Google Scholar
Venkatesh, V., Morris, M.G. (2000). Why don’t men ever stop to ask for directions? Gender social influence and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115–139. DOI: 10.2307/3250981.
View in Google Scholar
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.