Journal article
Factors Influencing Decision Support System Acceptance
Decision Support Systems, Vol.54(2), pp.953-961
2013
Abstract
While clinical DSS have many proven benefits, their uptake by GPs (general practitioners) is limited. The purpose of this research was to develop and explore a UTAUT (Unified Theory of Acceptance and Use of Technology) based model of how and why GPs accept DSS. Insight into the reasons why GPs do not use clinical DSS combined with knowledge of why GPs use DSS will allow the development of strategies to facilitate more widespread adoption with consequent improvements across many areas. Depth interviews were conducted with 37 GPs comprising a mix of education backgrounds, experience and gender. The developed model indicated that four main factors influence DSS acceptance and use including usefulness (incorporating consultation issue, professional development and patient presence), facilitating conditions (incorporating workflow, training and integration), ease of use and trust in the knowledge base.
Details
- Title
- Factors Influencing Decision Support System Acceptance
- Authors
- Rania Shibl (Author) - Griffith UniversityMeredith A Lawley (Author) - University of the Sunshine Coast - Faculty of Arts and BusinessJustin Debuse (Author) - University of the Sunshine Coast - Faculty of Arts and Business
- Publication details
- Decision Support Systems, Vol.54(2), pp.953-961
- Publisher
- Elsevier BV, North-Holland
- Date published
- 2013
- DOI
- 10.1016/j.dss.2012.09.018
- ISSN
- 0167-9236; 1873-5797; 0167-9236
- Copyright note
- Copyright © 2012. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
- Organisation Unit
- School of Business and Creative Industries; University of the Sunshine Coast, Queensland; USC Business School - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99450013802621
- Output Type
- Journal article
- Research Statement
- false
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- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
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