Toward an Integrated Model for Examining the Factors Affecting the Acceptance of Queue Management Solutions in Healthcare
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Despite the previous article on technology adoption
and the importance of users’ intention to use various technologies
in healthcare, users’ acceptance of queue management solutions
(QMS) has rarely been measured. The key driver for this article is to
evaluate the constructs that have an influence on the acceptance of
QMS in the healthcare domain. To achieve this purpose, this article
proposes an integrated model based on the integration of various
constructs extracted from different theoretical models, including
the unified theory of acceptance and use of technology (UTAUT),
technology acceptance model (TAM), and social cognitive theory
(SCT) along with trust and innovativeness as external factors. The
data were collected using an online questionnaire survey from
242 healthcare professionals. The structural equation modeling
technique has been employed to validate the model. In general, the
results exposed that the suggested model has explained 66.5% of the
total variance in the behavioral intention to use QMS. The proposed
model is believed to be helpful in exploring the acceptance of other
information technologies in the healthcare domain, and the results
can provide valuable knowledge to managers and decision-makers
in healthcare organizations.
Description
Keywords
Criminal behavior, social media
platforms, Twitter, Facebook, Part-of-Speech tagging,
Valance Aware Dictionary.
Citation
AlQudah, A.A. et al. (2024) “Toward an Integrated Model for Examining the Factors Affecting the Acceptance of Queue Management Solutions in Healthcare,” IEEE Transactions on Engineering Management, 71.