IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i13p2257-d243085.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • 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 & Ka Yiu Lee, 2019. "Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes," IJERPH, MDPI, vol. 16(13), pages 1-16, June.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2257-:d:243085
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/13/2257/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/13/2257/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Palihawadana, Dayananda & Oghazi, Pejvak & Liu, Yeyi, 2016. "Effects of ethical ideologies and perceptions of CSR on consumer behavior," Journal of Business Research, Elsevier, vol. 69(11), pages 4964-4969.
    2. Jaewoon Lee & Dongho Kim & Han-Young Ryoo & Byeong-Seok Shin, 2016. "Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life," Sustainability, MDPI, vol. 8(5), pages 1-16, May.
    3. Agrebi, Sinda & Jallais, Joël, 2015. "Explain the intention to use smartphones for mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 16-23.
    4. Bearden, William O & Etzel, Michael J, 1982. "Reference Group Influence on Product and Brand Purchase Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 183-194, September.
    5. Park, C Whan & Lessig, V Parker, 1977. "Students and Housewives: Differences in Susceptibility to Reference Group Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(2), pages 102-110, Se.
    6. Cheng, Hsiu-Hua & Huang, Shih-Wei, 2013. "Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior," International Journal of Information Management, Elsevier, vol. 33(1), pages 185-198.
    7. Jinxin Pan & Shuai Ding & Desheng Wu & Shanlin Yang & Jun Yang, 2019. "Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5801-5820, September.
    8. Lee, Sang Yup & Lee, Keeheon, 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, Elsevier, vol. 129(C), pages 154-163.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhigang Wang & Dan Fang & Xintao Liu & Lei Zhang & Hongyan Duan & Chao Wang & Kai Guo, 2023. "Consumer Acceptance of Sports Wearables: The Role of Products Attributes," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    3. Matthew James Fraser & Trish Gorely & Chris O’Malley & David J. Muggeridge & Oonagh M. Giggins & Daniel R. Crabtree, 2022. "Does Connected Health Technology Improve Health-Related Outcomes in Rural Cardiac Populations? Systematic Review Narrative Synthesis," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    4. Imdadullah Hidayat-ur-Rehman & Arshad Ahmad & Fahim Akhter & Mohd Ziaur Rehman, 2022. "Examining Consumers’ Adoption of Smart Wearable Payments," SAGE Open, , vol. 12(3), pages 21582440221, August.
    5. Xingyuan Wang & Yun Liu & Hongchen Liu, 2020. "Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge," IJERPH, MDPI, vol. 17(3), pages 1-16, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    2. Williams, Janine & Ashill, Nicholas & Thirkell, Peter, 2016. "How is value perceived by children?," Journal of Business Research, Elsevier, vol. 69(12), pages 5875-5885.
    3. Fong, Cher-Min & Chang, Hsing-Hua Stella & Lin, Mong-Ching & Chen, I-Hung, 2022. "Reexamining emerging market animosity toward western developed countries: A social dilemma in physical retailing consumption under normative influence," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    4. Huimin Song & Wei Zeng & Tingting Zeng, 2022. "Modeling Community Residents’ Exercise Adherence and Life Satisfaction: An Application of the Influence of the Reference Group," IJERPH, MDPI, vol. 19(20), pages 1-15, October.
    5. Nobuhiko Terui & Masataka Ban, 2013. "Multivariate Time Series Model with Hierarchical Structure for Over-dispersed Discrete Outcomes," TMARG Discussion Papers 113, Graduate School of Economics and Management, Tohoku University, revised Aug 2013.
    6. Mauricio S. Featherman & Nick Hajli, 2016. "Self-Service Technologies and e-Services Risks in Social Commerce Era," Journal of Business Ethics, Springer, vol. 139(2), pages 251-269, December.
    7. Sammon, Rachel & Kwon, Kyoung-Nan, 2015. "Host׳s interpersonal influence on guests in a home sales party," Journal of Retailing and Consumer Services, Elsevier, vol. 23(C), pages 32-38.
    8. Fernandes, Semila & Venkatesh, V.G. & Panda, Rajesh & Shi, Yangyan, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    9. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
    10. Semila Fernandes & V.G. Venkatesh & Rajesh Panda & Yangyan Shi, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Post-Print hal-04455597, HAL.
    11. Lu, Chin-Shan & Weng, Hsiang-Kai & Huang, Fei & Leung, Lai-Han & Wang, Wen-Di, 2018. "Assessing the seafaring intention of maritime students in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 258-273.
    12. Jiarong Shi & Zihao Jiang, 2023. "Willingness to pay a premium price for green products: does a reference group matter?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8699-8727, August.
    13. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
    14. Liao, Tze-Hsien, 2017. "Online shopping post-payment dissonance: Dissonance reduction strategy using online consumer social experiences," International Journal of Information Management, Elsevier, vol. 37(6), pages 520-538.
    15. Amélia Maria Pinto Cunha Brandão & Hugo Eduardo Magalhães Barbedo, 2023. "Going (in)conspicuous: antecedents and moderators of luxury consumption," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 202-218, June.
    16. Melinda Majláth PhD., 2011. "Using Reference Groups in Green Communication," Proceedings- 9th International Conference on Mangement, Enterprise and Benchmarking (MEB 2011),, Óbuda University, Keleti Faculty of Business and Management.
    17. Chao, Angela & Schor, Juliet B., 1998. "Empirical tests of status consumption: Evidence from women's cosmetics," Journal of Economic Psychology, Elsevier, vol. 19(1), pages 107-131, February.
    18. Hasan Ashraf Khan & Yasir Kamal & Shehroz Saleem, 2016. "Peer Influence on Young Adults' Products Purchase Decisions," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 8(SE), pages 83-92, March.
    19. Kareem Abdul, Waheed & Gaur, Sanjaya S. & Peñaloza, Lisa N., 2012. "The determinants of customer trust in buyer–seller relationships: An empirical investigation in rural India," Australasian marketing journal, Elsevier, vol. 20(4), pages 303-313.
    20. Metin Kozak & Antónia Correia & Giacomo Del Chiappa, 2017. "The propensity to bargain while on a vacation," Tourism Economics, , vol. 23(1), pages 150-167, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2257-:d:243085. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.