Hajiheydari, N., Delgosha, M.S. and Olya, H. orcid.org/0000-0002-0360-0744 (2021) Scepticism and resistance to IoMT in healthcare : application of behavioural reasoning theory with configurational perspective. Technological Forecasting and Social Change, 169. 120807. ISSN 0040-1625
Abstract
The innovative application of smart devices in healthcare promotes real-time sensing, enables intelligent services, and accelerates medical progress, which ultimately boosts clinical trial efficiency, timely diagnostics, and effective patient-centred care. Despite its proven capabilities, the Internet of Medical Things (IoMT) can flourish only if users in the medical sector willingly use these devices in their daily routine work. Drawing on behavioural reasoning theory and its implication in explaining user behaviour, this study aims to shed light on hospital practitioners’ reasons for and against resistance to IoMT. We proposed an integrative theoretical framework that combines system, information, and individual positive and negative factors to understand and explain clinical users’ scepticism and resistance toward IoMT. We benefit from a multi-analytical approach including symmetrical (net effect) and configurational analysis to test this theoretical framework. Our study contributes to the literature by proposing new insights into IoMT users’ decision-making, considering a dual approach that simultaneously explains positive and negative pathways toward scepticism and resistance. Empirically, this study advances our knowledge of users’ resistance rationality that could lead to improved managerial policies for introducing and successfully implementing IoMT technologies in hospitals.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier. This is an author produced version of a paper subsequently published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Internet of Medical Things (IoMT); Resistance; Behavioural reasoning theory; Scepticism; Configurational analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Apr 2021 06:34 |
Last Modified: | 23 Oct 2022 00:13 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.techfore.2021.120807 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173469 |