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A Conceptual Framework of RFID Adoption in Retail Using TOE Framework

Author

Listed:
  • Mithu Bhattacharya

    (College of Business Administration, University of Detroit Mercy, Detroit, MI, USA)

  • Samuel Fosso Wamba

    (NEOMA Business School, Mont Saint Aignan, France)

Abstract

Motivated by the need to understand the underlying antecedents of RFID adoption in retail, this study proposes and tests a framework predicting RFID adoption intent. Based on the TOE (technology-organization-environment) framework, this research develops and validates the research framework to examine the influence of twelve contextual factors under four broad categories (technological, organizational, environmental, and value-chain) on RFID adoption in retail. A structured study instrument is developed to measure these variables and data are collected from 74 experts spread across different business associations through Delphi technique. Multivariate discriminant analysis (MDA) is used to develop the conceptual framework for RFID adoption. The results indicate that relative advantage, competitive pressure, catalyst agent, and value chain complexity are significant determinants of RFID adoption in retail. It suggests that environmental characteristics are very important to be considered in RFID adoption studies along with technological and value chain characteristics.

Suggested Citation

  • Mithu Bhattacharya & Samuel Fosso Wamba, 2015. "A Conceptual Framework of RFID Adoption in Retail Using TOE Framework," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 6(1), pages 1-32, January.
    • Handle: RePEc:igg:jtd000:v:6:y:2015:i:1:p:1-32
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    Cited by:

    1. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    2. Sun, Bing & Yang, Xueting & Zhong, Shen & Tian, Shengnan & Liang, Tian, 2024. "How do technology convergence and expansibility affect information technology diffusion? Evidence from the internet of things technology in China," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    3. Yunjeong Kim, 2021. "Revitalization of Offline Fashion Stores: Exploring Strategies to Improve the Smart Retailing Experience by Applying Mobile Technology," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    4. Albert Ndekwa & Tumaini Mujuni Katunzi, 2016. "Small and Medium Tourist Enterprises and Social Media Adoption: Empirical Evidence from Tanzanian Tourism Sector," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(4), pages 1-71, March.
    5. Lorente-Martínez, Javier & Navío-Marco, Julio & Rodrigo-Moya, Beatriz, 2020. "Analysis of the adoption of customer facing InStore technologies in retail SMEs," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    6. Roy, Sanjit Kumar & Balaji, M S & Sadeque, Saalem & Nguyen, Bang & Melewar, T C, 2017. "Constituents and consequences of smart customer experience in retailing," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 257-270.

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