PMID- 35075317 OWN - NLM STAT- Publisher LR - 20240220 IS - 0254-5330 (Print) IS - 1572-9338 (Electronic) IS - 0254-5330 (Linking) DP - 2022 Jan 20 TI - Modeling the blockchain readiness challenges for product recovery system. PG - 1-45 LID - 10.1007/s10479-021-04468-4 [doi] AB - 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. CI - (c) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. FAU - Dwivedi, Ashish AU - Dwivedi A AD - Jindal Global Business School, O.P. Jindal Global University, Sonipat, India. GRID: grid.449565.f FAU - Agrawal, Dindayal AU - Agrawal D AD - Department of Management Studies, Indian Institute of Technology, Delhi, India. GRID: grid.417967.a. ISNI: 0000 0004 0558 8755 FAU - Paul, Sanjoy Kumar AU - Paul SK AUID- ORCID: 0000-0001-9523-179X AD - UTS Business School, University of Technology Sydney, Sydney, Australia. GRID: grid.117476.2. ISNI: 0000 0004 1936 7611 FAU - Pratap, Saurabh AU - Pratap S AD - Department of Mechanical Engineering, Indian Institute of Technology (IIT BHU), Varanasi, India. GRID: grid.467228.d. ISNI: 0000 0004 1806 4045 LA - eng PT - Journal Article DEP - 20220120 PL - United States TA - Ann Oper Res JT - Annals of operations research JID - 101608624 PMC - PMC8769798 OTO - NOTNLM OT - Blockchain technology OT - Fuzzy DEMATEL OT - Multi-criteria decision-making OT - Product recovery system OT - Readiness challenges EDAT- 2022/01/26 06:00 MHDA- 2022/01/26 06:00 PMCR- 2022/01/20 CRDT- 2022/01/25 05:50 PHST- 2021/11/23 00:00 [accepted] PHST- 2022/01/25 05:50 [entrez] PHST- 2022/01/26 06:00 [pubmed] PHST- 2022/01/26 06:00 [medline] PHST- 2022/01/20 00:00 [pmc-release] AID - 4468 [pii] AID - 10.1007/s10479-021-04468-4 [doi] PST - aheadofprint SO - Ann Oper Res. 2022 Jan 20:1-45. doi: 10.1007/s10479-021-04468-4.