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Accessing antecedents and outcomes of RFID implementation in health care

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  • Reyes, Pedro M.
  • Li, Suhong
  • Visich, John K.

Abstract

This research first conceptualizes, develops, and validates four constructs for studying RFID in health care, including Drivers (Internal and External), Implementation Level (Clinical Focus and Administrative Focus), Barriers (Cost Issues, Lack of Understanding, Technical Issues, and Privacy and Security Concerns), and Benefits (Patient Care, Productivity, Security and Safety, Asset Management, and Communication). Data for the study were collected from 88 health care organizations and the measurement scales were validated using structural equation modeling. Second, a framework is developed to discuss the causal relationships among the above mentioned constructs. It is found that Internal Drivers are positively related to Implementation Level, which in turn is positively related to Benefits and Performance. In addition, Barriers are found to be positively related to Implementation Level, which is in contrast to the originally proposed negative relationship. The research also compares perception differences regarding RFID implementation among the non-implementers, future implementers, and current implementers of RFID. It is found that both future implementers and current implementers consider RFID barriers to be lower and benefits to be higher compared to the non-implementers. This paper ends with our research implications, limitations and future research.

Suggested Citation

  • Reyes, Pedro M. & Li, Suhong & Visich, John K., 2012. "Accessing antecedents and outcomes of RFID implementation in health care," International Journal of Production Economics, Elsevier, vol. 136(1), pages 137-150.
  • Handle: RePEc:eee:proeco:v:136:y:2012:i:1:p:137-150
    DOI: 10.1016/j.ijpe.2011.09.024
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    2. Mohammad Hossein Zavvar Sabegh & Mohammad Mohammadi & Bahman Naderi, 2017. "Multi-objective optimization considering quality concepts in a green healthcare supply chain for natural disaster response: neural network approaches," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1689-1703, November.
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    4. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2016. "Determinants of RFID adoption stage and perceived benefits," European Journal of Operational Research, Elsevier, vol. 254(3), pages 801-812.
    5. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    6. Chun-Hung Cheng & Yong-Hong Kuo, 2016. "RFID analytics for hospital ward management," Flexible Services and Manufacturing Journal, Springer, vol. 28(4), pages 593-616, December.

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