Navigating Patients’ Intentions in Smart Health: Insights from Novel Factors

Ahmad Abushakra, Davoud Nikbin and Luay Anaya
Additional contact information
Ahmad Abushakra: Business Information Technology Department, Princess Sumaya University for Technology, Amman, Jordan
Davoud Nikbin: ��School of Business & Law, University of Brighton, Brighton, UK
Luay Anaya: Business Information Technology Department, Princess Sumaya University for Technology, Amman, Jordan

Journal of Information & Knowledge Management (JIKM), 2025, vol. 24, issue 01, 1-21

Abstract: This research aims to evaluate the extent to which a specific set of factors affect patients’ intention to adopt and use smart health applications. These factors, derived from the unified theory of acceptance and use of technology (UTAUT), include technology anxiety (TA), perceived reliability (PR), inertia (Int) and privacy concern (PC). Data were collected from 259 participants via a cross-sectional survey. The researchers employed the partial least squares (PLS) method for data analysis using SmartPLS, a statistical tool based on structural equation modelling (SEM). The findings indicate that performance expectancy, facilitating conditions, Int and PR significantly influence patients’ intentions to adopt smart health services. However, no significant relationships were found between effort expectancy, social influence, PC, TA and the intention to adopt smart health services. This study contributes to the literature by integrating additional factors (TA, PR, Int and PC) into the UTAUT framework. Limitations of the study include the cross-sectional design, which may not capture changes over time, and the reliance on self-reported data, which may be subject to biases. Future research should consider longitudinal studies to examine the evolving nature of technology adoption and explore additional contextual factors that might influence patient intentions. This research provides practical insights for healthcare practitioners aiming to enhance the adoption of smart health applications.

Keywords: Smart health; smartphone health applications; technology adoption; UTAUT (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649224500953
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:24:y:2025:i:01:n:s0219649224500953

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649224500953

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().