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Analyzing barriers of integrated RFID-blockchain adoption in the Indian public distribution systems.

Authors :
Kumar Singh, Sandeep
Singh, Amit
Jenamani, Mamata
Rana, Nripendra P.
Source :
Journal of Enterprise Information Management; 2024, Vol. 37 Issue 2, p355-380, 26p
Publication Year :
2024

Abstract

Purpose: As an emerging technology, Radio Frequency IDentification (RFID) and blockchain have the potential to disrupt many areas of business and social structure. However, it is loaded with significant technical, social, legal, financial and ethical complications that bring difficulty in its widespread use within the public distribution system (PDS). This research aims to analyze the barriers to integrated RFID and blockchain adoption in developing countries' PDS. Furthermore, this study also aims to validate the proposed framework against the Indian PDS. Design/methodology/approach: The proposed framework consists of 10 potential barriers to integrated RFID and blockchain adoption. To identify the barriers, this study referred to the extant literature followed by consultations with domain experts. This study prepared the DEMATEL-based questionnaires, collected the data from four domain experts and analyzed them using an integrated Grey-DEMATEL approach. Findings: The obtained results provide a precise list of barriers and the correlations among them. From the results, it is concluded that the unavailability of a skilled workforce at affordable cost, lack of knowledge about privacy level and unclear return on investment and benefits are the most critical blockchain adoption barriers in the context of Indian PDS. Originality/value: This research proposes a framework consisting of 10 integrated RFID and blockchain adoption barriers in relation to Indian PDS. It also proposes a method for analyzing causal interrelationships between the barriers while allowing for data input from domain experts. Consequently, the framework is capable of coping with experts' biases and data scarcity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17410398
Volume :
37
Issue :
2
Database :
Complementary Index
Journal :
Journal of Enterprise Information Management
Publication Type :
Academic Journal
Accession number :
176719805
Full Text :
https://doi.org/10.1108/JEIM-08-2022-0286