Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model

Abstract

Introduction: The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot describe the users’ behavior in the environments like the Hospital Information System. From the technology acceptance standpoint at the individual acceptance level, the present paper tends to develop a Technology Acceptance Model with introducing some external factors.Material and Methods: This study was conducted in 2017. The research population was included 185 nurses who works in Health Information Management (HIM) departments of Tehran University of Medical Sciences. A questionnaire was developed in order to gather the required data. The validity was obtained by panel of experts and the reliability was examined and then confirmed in a 50 person sample using the Cronbach’s Alpha (a=0.93). The Likert’s five item scale was applied. The data were analyzed using descriptive statistics, exploratory factor analysis, and path analysis.Results: The behavioral intention was affected significantly and positively by the factors of perceived usefulness, perceived ease of use, self-efficacy, end user support, social norm, trust, job relevance, and training, with trust having the highest level of effects. Also perceived ease of use had a significant effect on perceived usefulness along with an indirect effect on behavioral intention through perceived usefulness. The factors of anxiety, voluntariness, and facilitating conditions showed no significant effects on behavioral intention.Conclusion: The factors of trust, perceived usefulness, social norm, end user support, and self-efficacy have an impact on the behavioral intention of the users utilizing the Hospital Information System in the concerning hospitals. These factors could explain 72% of the changes of behavioral intention. Concentrating on them would lead to the improvement of the acceptance and Hospital Information System efficiency.

The Antecedents of Acceptance of Clinical Decision Support Systems by Physicians and Pharmacists in Saudi Arabia

“…This nding is consistent with other studies [80]. In [81], [82], the research team found that training has a positive impact on the intention to use the system.…”

Investigating the Antecedents of User Acceptance of Clinical Decision Support Systems: a Case from Saudi Arabia

“…This nding is consistent with other studies [80]. In [81], [82], the research team found that training has a positive impact on intention to use the system. Therefore, it is essential to consider the amount of training needed before the CDSS implementation [80].…”

Unlocking technology acceptance among South African employees: A psychological perspective

“…The concept of technological acceptance holds a pivotal role in the dissemination of technology and its integration into organisations (Carey & Kacmar, 2010;Gong et al, 2004;Holden & Rada, 2011). Addressing the factors that influence this acceptance, researchers have delved deeply into the interplay between technological acceptance and psychological factors (Mahmood et al, 2021;Mirriahi et al, 2012;Musarrat et al, 2013;Roberts & Flin, 2020;Saghafian et al, 2021;Steel & Levy, 2009;Stevens, 2020;Terras & Ramsay, 2015;Venkatesh et al, 2003).…”