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Beyond TAM and UTAUT: Future directions for HIT implementation research
Aviv Shachak1, Craig Kuziemsky2, Carolyn Petersen3
1Institute of Health Policy, Management and Evaluation (Dalla Lana School of Public Health), University of Toronto, Toronto, ON, Canada; Faculty of Information, University of Toronto, Toronto, ON, Canada.
The Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) are widely used but criticized for simplicity. Biomedical informatics should adopt multi-dimensional approaches for complex health information technology (HIT) implementation challenges.
Area of Science:
- Biomedical Informatics
- Health Information Technology (HIT) Research
Background:
- The Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) are prevalent in health information technology (HIT) studies.
- These models face criticism for oversimplification and a narrow focus on individual user perceptions.
- Their extensive use has led to diminishing returns in advancing knowledge.
Purpose of the Study:
- To discuss criticisms of TAM and UTAUT in the context of HIT implementation.
- To advocate for a shift towards multi-dimensional approaches in biomedical informatics research.
- To propose future research directions for better understanding HIT adoption and use.
Main Methods:
- Commentary and critical analysis of existing theoretical frameworks.
- Discussion of limitations of TAM and UTAUT.
- Proposal of alternative, multi-dimensional theoretical perspectives.
Main Results:
- TAM and UTAUT offer limited perspectives on the complexity of HIT implementation.
- A plateau in knowledge contribution from TAM and UTAUT has been reached.
- Multi-dimensional approaches are better suited to capture the intricacies of HIT adoption.
Conclusions:
- Biomedical informatics research requires a move beyond simplistic models like TAM and UTAUT.
- Adopting multi-dimensional frameworks will enhance the understanding of HIT implementation and use.
- Future research should focus on more comprehensive theoretical approaches to address complex HIT challenges.
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