Examining Consumers' Adoption of Wearable Healthcare Technology: The Role of Health Attributes.

Autor: Cheung ML; Division of Business and Management, BNU-HKBU United International College, Zhu Hai 519000, China., Chau KY; Faculty of International Tourism and Management, City University of Macau, Macau, China. gavinchau@cityu.mo., Lam MHS; Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield S10 2BP, UK., Tse G; Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China., Ho KY; School of Nursing, University of Hong Kong, Hong Kong, China., Flint SW; School of Sport, Leeds Beckett University, Leeds LS6 3QS, UK., Broom DR; Academy of Sport and Physical Activity, Sheffield Hallam University, Sheffield S10 2BP, UK., Tso EKH; Borneo Business School, North Borneo University College, Sabah 88400, Malaysian., Lee KY; Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield S10 2BP, UK.
Jazyk: angličtina
Zdroj: International journal of environmental research and public health [Int J Environ Res Public Health] 2019 Jun 26; Vol. 16 (13). Date of Electronic Publication: 2019 Jun 26.
DOI: 10.3390/ijerph16132257
Abstrakt: With the advancement of information technology, wearable healthcare technology has emerged as one of the promising technologies to improve the wellbeing of individuals. However, the adoption of wearable healthcare technology has lagged when compared to other well-established durable technology products, such as smartphones and tablets, because of the inadequate knowledge of the antecedents of adoption intention. The aim of this paper is to address an identified gap in the literature by empirically testing a theoretical model for examining the impact of consumers' health beliefs, health information accuracy, and the privacy protection of wearable healthcare technology on perceived usefulness. Importantly, this study also examines the influences of perceived usefulness, consumer innovativeness, and reference group influence on the adoption intention of wearable healthcare technology. The model seeks to enhance understanding of the influential factors in adopting wearable healthcare technology. Finally, suggestions for future research for the empirical investigation of the model are provided.
Databáze: MEDLINE