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Modeling the blockchain readiness challenges for product recovery system

Product Recovery System (PRS) transfers products from their typical final place to their source to arrest some value on the product. There are obstructions, such as costs, associated with the modification of accounts and assessment of products and refunds associated with the implementation of PRS. B...

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Autores principales: Dwivedi, Ashish, Agrawal, Dindayal, Paul, Sanjoy Kumar, Pratap, Saurabh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769798/
https://www.ncbi.nlm.nih.gov/pubmed/35075317
http://dx.doi.org/10.1007/s10479-021-04468-4
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author Dwivedi, Ashish
Agrawal, Dindayal
Paul, Sanjoy Kumar
Pratap, Saurabh
author_facet Dwivedi, Ashish
Agrawal, Dindayal
Paul, Sanjoy Kumar
Pratap, Saurabh
author_sort Dwivedi, Ashish
collection PubMed
description Product Recovery System (PRS) transfers products from their typical final place to their source to arrest some value on the product. There are obstructions, such as costs, associated with the modification of accounts and assessment of products and refunds associated with the implementation of PRS. Blockchain Technology (BCT) emerged as an innovative approach to constructing trust in a trust less environment and assures the availability, traceability, and security in data management. It also presents a valuable solution to PRS. This study aims to analyze the Blockchain Readiness Challenges (BRCs) to PRS in the context of manufacturing industries. The study observes 20 readiness challenges linked with the implementation of BCT in PRS. The BRCs are identified from the literature survey and confirmed after consequent examinations with industry experts and researchers. The study employed a Multi-Criteria Decision-Making (MCDM) i.e., the Decision-Making Trial And Evaluation Laboratory (Fuzzy DEMATEL) approach to find the cause-and-effect interactions to prioritize BRCs. The Maximum Mean De-Entropy (MMDE) algorithm was adopted to establish the threshold value based on the information entropy of the interactions among the BRCs for PRS. The fuzzy set theory was adopted to tackle the uncertainty and vagueness of personnel biases and data deficiency problems. The findings from this study reveal that inadequate financing for PRS exercises, lack of governance and standards, and security challenges to BCT implementation are the most influential readiness challenges for the adoption of blockchain in PRS. The study is useful to manufacturing organizations for identifying the potential BRCs to implement PRS among all existing readiness challenges so that they can take suitable measures before proceeding to adopt blockchain in PRS. The managers are suggested to eliminate the readiness challenges and widen the blockchain technology adoption in PRS.
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spelling pubmed-87697982022-01-20 Modeling the blockchain readiness challenges for product recovery system Dwivedi, Ashish Agrawal, Dindayal Paul, Sanjoy Kumar Pratap, Saurabh Ann Oper Res Original Research Product Recovery System (PRS) transfers products from their typical final place to their source to arrest some value on the product. There are obstructions, such as costs, associated with the modification of accounts and assessment of products and refunds associated with the implementation of PRS. Blockchain Technology (BCT) emerged as an innovative approach to constructing trust in a trust less environment and assures the availability, traceability, and security in data management. It also presents a valuable solution to PRS. This study aims to analyze the Blockchain Readiness Challenges (BRCs) to PRS in the context of manufacturing industries. The study observes 20 readiness challenges linked with the implementation of BCT in PRS. The BRCs are identified from the literature survey and confirmed after consequent examinations with industry experts and researchers. The study employed a Multi-Criteria Decision-Making (MCDM) i.e., the Decision-Making Trial And Evaluation Laboratory (Fuzzy DEMATEL) approach to find the cause-and-effect interactions to prioritize BRCs. The Maximum Mean De-Entropy (MMDE) algorithm was adopted to establish the threshold value based on the information entropy of the interactions among the BRCs for PRS. The fuzzy set theory was adopted to tackle the uncertainty and vagueness of personnel biases and data deficiency problems. The findings from this study reveal that inadequate financing for PRS exercises, lack of governance and standards, and security challenges to BCT implementation are the most influential readiness challenges for the adoption of blockchain in PRS. The study is useful to manufacturing organizations for identifying the potential BRCs to implement PRS among all existing readiness challenges so that they can take suitable measures before proceeding to adopt blockchain in PRS. The managers are suggested to eliminate the readiness challenges and widen the blockchain technology adoption in PRS. Springer US 2022-01-20 /pmc/articles/PMC8769798/ /pubmed/35075317 http://dx.doi.org/10.1007/s10479-021-04468-4 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Dwivedi, Ashish
Agrawal, Dindayal
Paul, Sanjoy Kumar
Pratap, Saurabh
Modeling the blockchain readiness challenges for product recovery system
title Modeling the blockchain readiness challenges for product recovery system
title_full Modeling the blockchain readiness challenges for product recovery system
title_fullStr Modeling the blockchain readiness challenges for product recovery system
title_full_unstemmed Modeling the blockchain readiness challenges for product recovery system
title_short Modeling the blockchain readiness challenges for product recovery system
title_sort modeling the blockchain readiness challenges for product recovery system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769798/
https://www.ncbi.nlm.nih.gov/pubmed/35075317
http://dx.doi.org/10.1007/s10479-021-04468-4
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