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

Man Lai Cheung, Ka Yin Chau, Michael Huen Sum Lam, Gary Tse, Ka Yan Ho, Stuart W. Flint, David R Broom, Ejoe Kar Ho Tso and Ka Yiu Lee
Additional contact information
Man Lai Cheung: Division of Business and Management, BNU-HKBU United International College, Zhu Hai 519000, China
Ka Yin Chau: Faculty of International Tourism and Management, City University of Macau, Macau, China
Michael Huen Sum Lam: Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield S10 2BP, UK
Gary Tse: Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, Hong Kong, China
Ka Yan Ho: School of Nursing, University of Hong Kong, Hong Kong, China
Stuart W. Flint: School of Sport, Leeds Beckett University, Leeds LS6 3QS, UK
David R Broom: Academy of Sport and Physical Activity, Sheffield Hallam University, Sheffield S10 2BP, UK
Ejoe Kar Ho Tso: Borneo Business School, North Borneo University College, Sabah 88400, Malaysian
Ka Yiu Lee: Faculty of Health and Wellbeing, Sheffield Hallam University, Sheffield S10 2BP, UK

IJERPH, 2019, vol. 16, issue 13, 1-16

Abstract: 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.

Keywords: wearable healthcare technology; adoption intention; health belief; health information accuracy; privacy; consumer innovativeness; perceived usefulness (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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