| Summary: | 博士 === 元智大學 === 管理學院博士班 === 106 === In recent years, radio-frequency identification （RFID） technology has been used to improve operational efficiency in health care. Consequently, many health care organizations offering RFID-enabled services seek to assess the benefits of RFID technology. Drawing on key variables of the unified theory of acceptance and use of technology （UTAUT）, this paper proposes a theoretical model of RFID user intention by surveying the intention to use RFID technology among healthcare personnel. This study explored how healthcare personnel’s intention to use RFID correlates with perceptive factors and privacy awareness and how user intention correlates with organizational performance. The proposed model was compared with existing models in the literature to understand the differences and the explanatory power of the proposed model. Finally, this study verified and explained the inconsistency observed between the obtained results and those of previous studies and discussed the moderating effects of the unified model.
Based on a literature review, the research variables, hypotheses, and research model were constructed. A questionnaire was developed accordingly for data collection. A total of 470 valid responses were returned and subsequently analyzed using structural equation modeling and a Unified Theory of Acceptance and Use of Technology （UTAUT） model. Based on the analytical results, the following conclusions were drawn: performance expectancy, expected effects, social influences, facilitating conditions, and privacy awareness were identified as the key factors of RFID user intention. The hypothesized inconsistency between perceived safety and user intention was supported. These results also supported the qualitive interview findings, which verified the quantified analysis results. This study found that the research model can effectively predict and explain RFID user intention and its impact on organizational performance. In addition, the moderating effects of gender, age, length of employment, job title, and the nature of healthcare institutions on the integrated model were examined. The results show that gender and length of employment have positive moderating effects.
The model presented in this study has superior overall fitness to the UTAUT model. This study conducted interviews to provide qualitative evidence to complement the quantitative results. The inclusion of qualitative and quantitative data enhanced the validity of the results.
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