Many models currently exist for evaluating acceptance and continued use of technology. However, none of these models are healthcare specific, nor do they involve aspects of users' personality. Although the five-factor model (FFM) of personality has been effectively used in psychology and human resources and management research to predict attitudes, cognitions, and behaviors, it has not been effectively integrated into a technology acceptance model. This paper proposes a new model of technology acceptance and continued use for clinicians. Survey results from 244 medical and dental residents and fellows were used to analyze the relationships between personality factors and the technology acceptance constructs of performance expectancy, effort expectancy, social influence, and continuance intention. Clinicians scored highest in agreeableness, conscientiousness and openness to experience and lowest in neuroticism. Neuroticism was negatively related to effort expectancy. Agreeableness was positively related to both continuance intention and social influence. The results of this study demonstrate the further need for research in the area of personality and technology acceptance, as well as the need for healthcare specific models.
University of Minnesota Ph.D. dissertation. December 2011. Major: Health Informatics. Advisor: Julie A. Jacko. 1 computer file (PDF); vii, 73 pages, appendices I-II.
McClellan, Molly Ann.
Clinician acceptance of Electronic Medical Records (EMRs): relating personality factors to continuance intention.
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