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RFID Adaption in Healthcare Organizations: An Integrative Framework

Ahed Abugabah1,*, Louis Sanzogni2, Luke Houghton2, Ahmad Ali AlZubi3, Alaa Abuqabbeh4

1 College of Technical Innovation, Zayed University, Abu Dhabi, UAE
2 Nathan Campus, Griffith University, Australia
3 Department of Computer Science, King Saud University, Riyadh, Saudi Arabia
4 Golden Gate University, San Francisco, California, USA

* Corresponding Author: Ahed Abugabah. Email: email

Computers, Materials & Continua 2022, 70(1), 1335-1348. https://doi.org/10.32604/cmc.2022.019097

Abstract

Radio frequency identification (RFID), also known as electronic label technology, is a non-contact automated identification technology that recognizes the target object and extracts relevant data and critical characteristics using radio frequency signals. Medical equipment information management is an important part of the construction of a modern hospital, as it is linked to the degree of diagnosis and care, as well as the hospital’s benefits and growth. The aim of this study is to create an integrated view of a theoretical framework to identify factors that influence RFID adoption in healthcare, as well as to conduct an empirical review of the impact of organizational, environmental, and individual factors on RFID adoption in the healthcare industry. In contrast to previous research, the current study focuses on individual factors as well as organizational and technological factors in order to better understand the phenomenon of RFID adoption in healthcare, which is characterized as a dynamic and challenging work environment. This research fills a gap in the current literature by describing how user factors can influence RFID adoption in healthcare and how such factors can lead to a deeper understanding of the advantages, uses, and impacts of RFID in healthcare. The proposed study has superior performance and effective results.

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Cite This Article

A. Abugabah, L. Sanzogni, L. Houghton, A. Ali AlZubi and A. Abuqabbeh, "Rfid adaption in healthcare organizations: an integrative framework," Computers, Materials & Continua, vol. 70, no.1, pp. 1335–1348, 2022. https://doi.org/10.32604/cmc.2022.019097



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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