Exploring factors influencing the adoption of mobile healthcare technologies: perspectives from designers, consultants and users’ preferences

Abstract

Purpose Today, the use of smart technologies in healthcare systems is experiencing exponential growth, and the future of healthcare is seemingly closely intertwined with such technologies. Thus, any exploration of the factors that influence human health and healthcare systems inevitably touches upon the subject of new technologies. This study aims to design a conceptual model to investigate the elements that affect individuals' openness to accepting and using mobile healthcare applications (mHealth apps) and their reciprocal effects. Design/methodology/approach After a brief review of the literature, the authors identify the influential factors in the acceptance of smart technologies in healthcare systems and present a conceptual model in this regard. Next, the authors analyze the factors and variables and the extent of their impact by a structural equation modeling (SEM) approach. The statistical population of this study consists of 421 individuals including the developers, consultants and users (i.e. patients) of mHealth apps. Data analysis was done on the statistical software SPSS v.26, while SEM was carried out using the partial least squares (PLS) method on the modeling software SmartPLS. Findings The results indicate that user, consultant and developer preferences have a positive and significant impact on time, quality of life, managing chronic conditions and cooperation, and these constructs (system performance) finally have a positive and significant impact on the acceptance of mobile healthcare technologies. Originality/value This paper shows that mHealth apps can have a remarkable role in the prevention and treatment of medical conditions, and it is strongly recommended that this technology be utilized in the studied region.

Publication DOI: https://doi.org/10.1108/AJB-11-2022-0194
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Aston University (General)
Additional Information: Copyright © 2023, Emerald Publishing Limited Copyright. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.
Uncontrolled Keywords: Smart technologies,Mobile health,mHealth,Technology acceptance,Healthcare systems,structural equation modeling
Publication ISSN: 1935-5181
Last Modified: 29 Nov 2024 08:22
Date Deposited: 15 Jun 2023 15:55
Full Text Link:
Related URLs: https://www.eme ... -0194/full/html (Publisher URL)
PURE Output Type: Article
Published Date: 2023-08-09
Published Online Date: 2023-06-12
Accepted Date: 2023-06-01
Authors: Namirad, Sepehr
Deiranlou, Mehdi
Sajadi, Dr. Seyed Mojtaba (ORCID Profile 0000-0002-2139-2053)

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