Factors affecting the intention to adopt wearable devices for health monitoring among white-collar workers in Malaysia

Seetha Munisamy, Lai Ka Fei, Chang Ke Jun, Lim En Gee, Yip Ning and Hemaniswarri Dewi Dewadas ()
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Seetha Munisamy: Manipal University College Malaysia (MUCM), Faculty of Medicine
Lai Ka Fei: Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business and Finance (THP FBF)
Chang Ke Jun: Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business and Finance (THP FBF)
Lim En Gee: Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business and Finance (THP FBF)
Yip Ning: Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business and Finance (THP FBF)
Hemaniswarri Dewi Dewadas: Universiti Tunku Abdul Rahman, Teh Hong Piow Faculty of Business and Finance (THP FBF)

A chapter in Proceedings of the 13th International Conference on Business, Accounting, Finance and Economics (BAFE 2025), 2025, pp 440-459 from Springer

Abstract: Abstract Wearable health technology gained significant attention for its potential to improve personal health management and reduce the burden on healthcare systems. Yet, despite its benefits, adoption among white-collar workers in Malaysia remains relatively low, highlighting the need to better understand the determinants of intention to adopt. This study examines the key factors influencing their intention to adopt wearable devices for health monitoring, focusing on perceived usefulness (PU), perceived ease of use (PEOU), facilitating conditions (FC), and social influence (SI). This study employed a quantitative approach, gathering responses from 408 white-collar workers across various industries and states in Malaysia. A structured questionnaire was distributed via Google Forms, and non-probability convenience sampling was used to select participants. The collected data were analyzed using SPSS, incorporating descriptive statistics, reliability testing, and inferential analysis. The results revealed that PU emerged as the strongest predictor of adoption intention (β = 0.405, p

Keywords: Wearable Devices; Perceived Usefulness; Perceived Ease of Use; Facilitating Conditions; Social Influence; Technology Acceptance Model; Unified Theory of Acceptance and Use of Technology 2; White-collar Worker (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-968-1_30

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