IIUM Repository

Factors influencing the adoption of IoT healthcare products and services: an empirical study of the end consumers

Wasiq, Shafiullah and Zeki, Akram M. (2026) Factors influencing the adoption of IoT healthcare products and services: an empirical study of the end consumers. Open International Journal of Informatics, 14 (1). pp. 68-84. E-ISSN 2289-2370

[img] PDF - Published Version
Restricted to Repository staff only

Download (4MB) | Request a copy

Abstract

Internet of Things (IoT) technology has been increasingly applied across numerous industries. The healthcare sector, more than many others, requires advanced technologies such as IoT to enhance quality of life and improve access to healthcare and emergency services for millions of people. IoT healthcare technology enables providers to enhance the quality of patient care, communication, and diagnostic accuracy while enhancing efficiency and reducing costs. Despite the immense opportunities offered by IoT healthcare solutions, their adoption among end users remains limited due to concerns about privacy, perceived usefulness, complexity, ease of use, and high costs. Therefore, this study examines the main factors influencing customers’ adoption of IoT healthcare products and services by integrating constructs from TAM, IDT, and Privacy Calculus Theory. The demographic data were analysed in SPSS, whereas SmartPLS was used for confirmatory factor analysis (CFA), partial least squares (PLS), and structural equation modelling (SEM). The findings indicate that perceived usefulness (PU), attitude, and observability significantly positively affect patients’ willingness to adopt IoT-based healthcare technology. In contrast, perceived privacy risk, trialability, and cost did not have a substantial impact on adoption intention. The results of this research offer multiple theoretical and practical insights for the healthcare sector, as well as for researchers, policymakers, and product developers focused on implementing smart healthcare technologies.

Item Type: Article (Journal)
Uncontrolled Keywords: IoT Healthcare, Technology Adoption, Innovation Diffusion Theory, Privacy Calculus Theory, PLS-SEM
Subjects: T Technology > T Technology (General) > T173.2 Technological change
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Akram M Zeki
Date Deposited: 01 Jul 2026 16:28
Last Modified: 01 Jul 2026 16:28
Queue Number: 2026-06-Q3864
URI: http://irep.iium.edu.my/id/eprint/129652

Actions (login required)

View Item View Item