Browse > Article
http://dx.doi.org/10.29049/rjcc.2019.27.6.615

Influencing factors on purchase intention for smart healthcare clothing by gender and age - Focused on TAM, clothing attributes, health-lifestyle, and fashion innovativeness -  

Han, Heejung (Dept. of Fashion Design, Keimyung University)
Publication Information
The Research Journal of the Costume Culture / v.27, no.6, 2019 , pp. 615-631 More about this Journal
Abstract
Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.
Keywords
smart clothing; TAM; clothing attribute; health lifestyle; fashion innovativeness;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Perry, A., Malinin, L., Sanders, E., Li, Y., & Leigh, K. (2017). Explore consumer needs and design purposes of smart clothing from designers' perspectives. International Journal of Fashion Design, Technology and Education, 10(3), 372-380. doi:10.1080/17543266.2016.1278465   DOI
2 Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: The Free Press.
3 Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovations; A cross-cultural approach. New York: The Free Press.
4 Trend Spectrum. (2014, May 13). 캐나다 Omsignal, 스마트 의류 정식 출시 [Canada Omsignal, the of ficial release of smart clothing]. Retrieved December 17, 2019, from http://trendspectrum.co.kr/?p=18228
5 Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365. doi:10.1287/isre.11.4.342.11872   DOI
6 Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. doi:10.1287/mnsc.46.2.186.11926   DOI
7 Venkatesh, 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   DOI
8 Walker, S. N., Sechrist, K. R., & Pender, N. J. (1995). Health promoting lifestyle profile II. Retrieved July 10, 2018, from University of Nebraska Medical Center, College of nursing Web site: https://www.unmc.edu/nursing/faculty/English_HPLPII.pdf
9 Baek, M., Choi, H., & Lee, H. (2015). Age-specific acceptance intention over wearable smart healthcare device. Korean Journal Business Administration, 28(12), 3171-3189. doi:10.18032/kaaba.2015.28.12.3171
10 Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 659-686. doi:10.1177/001872679204500702   DOI
11 Wood, E. E. (2016, March 28). Smart textile maker OmSignal is disrupting an industry by embracing it. Retrieved December 17, 2019, from https://www.itworldcanada.com/article/smart-textile-makeromsignal-is-disrupting-an-industry-by-embracingit/381920
12 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. doi:10.1016/j.ijmedinf.2017.09.016   DOI
13 Hsiao, C. H., & Tang, K. Y. (2015). Examining a model of mobile healthcare technology acceptance by the elderly in Taiwan. Journal of Global Information Technology Management, 18(4), 292-311. doi:10.1080/1097198X.2015.1108099   DOI
14 Chae, J. M. (2009). Consumer acceptance model of smart clothing according to innovation. International Journal of Human Ecology, 10(1), 23-33.
15 Chae, J. M., Cho, H. S., & Lee, J. H. (2009). A study on consumer acceptance toward the commercialized smart clothing. Korean Journal of the Science of Sensibility, 12(2), 181-192.
16 Cho, S., & Workman, J. (2011). Gender, fashion innovativeness and opinion leadership, and need for touch. Journal of Fashion Marketing and Management, 15(3), 363-382. doi:10.1108/13612021111151941   DOI
17 Cho, Y. J., Choi, J. H., & Beak, H. K. (2010). Gender and age differences in evaluative criteria and information sources of functional clothing. Journal of the Korean Society of Costume, 60(9), 150-161.
18 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008   DOI
19 Hwang, C., Chung, T. L., & Sanders, E. A. (2016). Attitudes and purchase intentions for smart clothing. Clothing and Textiles Research Journal, 34(3), 207-222. doi:10.1177/0887302X16646447   DOI
20 Kang, K. Y., & Jin, H. J. (2007). Innovativeness and technological innovativeness on attitudes and buying intention toward smart clothing. Fashion and Textile Research Journal, 9(1), 35-40.
21 Kang, Y. S., Ha, Y., & Eun, Y. (2012). Health status and health-promoting lifestyle profile II of North Korean immigrants. Journal of Korean Academy of Community Health Nursing, 23(3), 231-243. doi:10.12799/jkachn.2012.23.3.231   DOI
22 Chae, J. M. (2010). The extended technology acceptance model according to smart clothing types. Korean Journal of Human Ecology, 19(2), 375-387. doi:10.5934/KJHE.2010.19.2.375   DOI
23 Lee, S. I., Yoo, W. J., Park, H. S., & Kim, S. H. (2016). An empirical study on acceptance intention towards healthcare wearable device. The Journal of Information System, 25(2), 27-50. doi:10.5859/KAIS.2016.25.2.27   DOI
24 Ko, E., Sung, H., & Yun, H. (2008). The effect of innovation and perceived risk on product attitudes and intention to adopt smart wear. Journal of Global Academy of Marketing Science, 18(2), 94-111. doi:10.1080/12297119.2008.9707247   DOI
25 Ko, E., Sung, H., & Yun, H. (2009). Comparative analysis of purchase intentions toward smart clothing between Korean and US consumers. Clothing and Textiles Research Journal, 27(4), 259-273. doi:10.1177/0887302X08327086   DOI
26 Korea Textile Development Institute. (2018). 스마트 의류 시장 동향 및 성공을 위한 도전 과제 [Smart clothing market trend and challenge for success]. Retrieved October 20, 2019, from http://super.textopia.or.kr:8888/newsletter/180918/lib02_1.pdf
27 Nazarian, R. (2016, January 4). This sports bra is not only comfortable, it can track your fitness data. Retrieved December 17, 2019, from https://www.digitaltrends.com/health-fitness/ombra-omrun-news/
28 Lee, S. Y., & Lee, K. (2018). Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker. Technological Forecasting and Social Change, 129(2018), 154-163. doi:10.1016/j.techfore.2018.01.002   DOI
29 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   DOI
30 National Institute of Food and Drug Safety Evaluation. (2018). 스마트 헬스케어 의료기기 기술.표준 전략 보고서 [Report of Strategy for Smart Healthcare Medical Device Technology and Standard]. Retrieved October 20, 2019, from https://www.mfds.go.kr/brd/m_218/view.do?seq=33260&srchFr=&srchTo=&srchWord=&srchTp=&itm_seq_1=0&itm_seq_2=0&multi_itm_seq=0&company_cd=&company_nm=&page=1
31 Park, H. H., & Noh, M. J. (2011). The influence of product attribute of smart clothing on initial trust and purchase intention: Focused on sensor-based smart clothing. Family and Environment Research, 49(6), 13-22. doi:10.6115/khea.2011.49.6.013
32 Noh, M. J., & Park, H. H. (2011). An effect of the beliefs, perceived enjoyment, and trust on the acceptance about the smart clothing: Moderating effect of price consciousness of the smart clothing. Journal of Industrial Economics and Business, 24(4), 2473-2497.
33 Noh, M. J., Park, H. H., & Jang, H. Y. (2011). An effect of the perceived value on the trust and acceptance intention of the smart clothing: Moderating effect of price involvement toward clothing. Journal of Business Research, 26(3), 123-147.   DOI