Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry

Alain Yee Loong Chong, Tung Sun Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

147 Citations (Scopus)

Abstract

Structural equation analysis for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry. Faced with an increasingly competitive business environment, organizations in the health care industry are applying Radio Frequency Identification (RFID) to improve operational efficiency and to gain a competitive advantage over their competitors. This research provides a multi-stage analysis on the antecedents that affects the diffusion of RFID in the health care industry. Data collected from 182 health care organizations were analyzed using structural equation modeling analysis. The result shows that variables within the Technology-Organization-Environment (TOE) framework and the Diffusion of Innovation (DOI) theory have different effects on the evaluation, adoption, and routinization stages of RFID diffusion. This is one of few empirical studies on the factors influencing the diffusion of RFID in the health care industry. The results of this study will help decision makers in the health care industry to better understand the diffusion process of RFID, and to formulate strategies for successful diffusion of RFID.
Original languageEnglish
Pages (from-to)8645-8654
Number of pages10
JournalExpert Systems with Applications
Volume39
Issue number10
DOIs
Publication statusPublished - 1 Aug 2012

Keywords

  • Diffusion of Innovation
  • Health care
  • RFID
  • Structural equation modeling
  • Technology-Organization-Environment model

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry'. Together they form a unique fingerprint.

Cite this