A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty
Hospitals; Information systems; Information use; Motivation; Tourism; Configurability; Ease-of-use; Empirical studies; Healthcare services; Hospital information systems; Patient loyalties; The unified theory of acceptance and use of technology(UTAUT); Utaut models; Medical computing
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Springer Science and Business Media Deutschland GmbH
2023
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my.uniten.dspace-265452023-05-29T17:11:47Z A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty Alismaili S.N.R. Shanmugam M. Kasim H.A. Magalingam P. 57223279050 36195134500 57203863798 35302809600 Hospitals; Information systems; Information use; Motivation; Tourism; Configurability; Ease-of-use; Empirical studies; Healthcare services; Hospital information systems; Patient loyalties; The unified theory of acceptance and use of technology(UTAUT); Utaut models; Medical computing Healthcare service institutions (HSIs) have sought ways to motivate patient loyalty in response to surging rates of medical tourism. Previous research indicates that Hospital Information System (HIS) is essential for HSIs to gather, measure, and analyze the massive amounts of data required to generate patient loyalty. There is currently no consensus on the factors that comprise HIS specifically geared towards motivating patient loyalty (HISPL). Furthermore, HIS requires full adoption by HSI staff to be effective. Thus, to reduce wastage of HSI resources, it is necessary to predict whether a given HIS specifically geared towards motivating patient loyalty is likely to be adopted. The purpose of this study is to reveal the factors that comprise HISPL and to modify the Unified Theory of Acceptance and Use of Technology (UTAUT) model to help predict the likelihood of an HISPL to be fully adopted by HSI staff. The results revealed that pertinent HISPL factors are capability, configurability, ease of use/help desk availability and competence (EU), and accessibility/shareability (AS). Using these factors, the UTAUT model was modified to fit the specific needs of HISPL. The modifications are theoretical and will have to be validated in future empirical studies. � 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Final 2023-05-29T09:11:47Z 2023-05-29T09:11:47Z 2021 Book Chapter 10.1007/978-3-030-70713-2_21 2-s2.0-85105457763 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105457763&doi=10.1007%2f978-3-030-70713-2_21&partnerID=40&md5=ece293bcfe3f9d0141ce40d4887bd8e7 https://irepository.uniten.edu.my/handle/123456789/26545 72 207 216 Springer Science and Business Media Deutschland GmbH Scopus |
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Hospitals; Information systems; Information use; Motivation; Tourism; Configurability; Ease-of-use; Empirical studies; Healthcare services; Hospital information systems; Patient loyalties; The unified theory of acceptance and use of technology(UTAUT); Utaut models; Medical computing |
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57223279050 |
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57223279050 Alismaili S.N.R. Shanmugam M. Kasim H.A. Magalingam P. |
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Book Chapter |
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Alismaili S.N.R. Shanmugam M. Kasim H.A. Magalingam P. |
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Alismaili S.N.R. Shanmugam M. Kasim H.A. Magalingam P. A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty |
author_sort |
Alismaili S.N.R. |
title |
A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty |
title_short |
A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty |
title_full |
A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty |
title_fullStr |
A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty |
title_full_unstemmed |
A Modified UTAUT Model for Hospital Information Systems Geared Towards Motivating Patient Loyalty |
title_sort |
modified utaut model for hospital information systems geared towards motivating patient loyalty |
publisher |
Springer Science and Business Media Deutschland GmbH |
publishDate |
2023 |
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1806423325991239680 |
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13.214268 |