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ERIC Number: ED561783
Record Type: Non-Journal
Publication Date: 2013
Pages: 176
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-3034-7153-7
Understanding User Resistance to Information Technology: Toward a Comprehensive Model in Health Information Technology
Ngafeeson, Madison N.
ProQuest LLC, Ph.D. Dissertation, University of Texas, Pan American
The successful implementation of health information systems is expected to increase legibility, reduce medical errors, boost the quality of healthcare and shrink costs. Yet, evidence points to the fact that healthcare professionals resist the full use of these systems. Physicians and nurses have been reported to resist the system. Even though resistance to technology has always been identified as key issue in the successful implementation of information technology, the subject remains largely under-theorized and deficient of empirical testing. Only two proposed model have been tested so far. Hence, though user resistance is clearly identified and defined in literature, not very much is known about its antecedents; and about "how" and "why" it comes about. This study seeks therefore, to fill this gap. If organizational change managers must go past the hurdle of under-utilized systems, low productivity and the high implementation costs associated with them, a clear understanding of the very nature of resistance is important. The following questions are investigated: (1) why do healthcare personnel resist health information technology? (2) What are the antecedents of "perceived threats" to health information technology? And, (3) does user resistance vary across healthcare professions? The study utilizes the theory of psychological reactance, the cognitive dissonance theory, the extended technology acceptance model and other relevant theories to build on the Lapointe and Rivard (2005) resistance framework. The resulting theoretical model is further tested empirically using primary data. Partial Least Squares technique will be used to analyze data and findings would be discussed. This work is expected to contribute to both our understanding of the resistance theory--through the extension of current theory--as well as provide useful tools for change practitioners to mitigate the phenomenon and improve electronic health records implementation outcomes. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page:]
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A