Browsing by Subject "UTAUT"
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Item Clinician acceptance of Electronic Medical Records (EMRs): relating personality factors to continuance intention(2011-12) McClellan, Molly AnnMany 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.Item Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to predict the behavioral intent of teledentistry utilization amongst United States adults(2022-06) VanDeWiele, MercedesObjectives: Teledentistry is an innovative health care delivery platform that can potentially improve oral health outcomes and access. The purpose of this study was to predict teledentistry utilization intentions of U.S. adults.Methods: This mixed-methods, cross-sectional study surveyed 899 participants from two independent samples in August and September 2021: Minnesota State Fair attendees and ResearchMatch. Data were analyzed using univariate analysis and multiple linear regression. Qualitative responses were coded using UTAUT constructs. Results: Univariate analysis showed statistical significance between each construct with BI (P < 0.0001). Multiple linear regression revealed statistical significance between PE and SI with BI (P < 0.0001). Qualitative responses corroborated quantitative results and revealed a lack of teledentistry knowledge. Conclusion: Participant BI was significantly associated with PE and SI. The general lack of knowledge suggests that intervention designs building on PE and SI could help develop educational or marketing strategies to increase teledentistry uptake.