Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision making framework

Erol, İsmail; Ar, İlker Murat; Peker, İskender

doi:10.1016/j.asoc.2021.108331

Cited by 48 publications

(20 citation statements)

References 81 publications

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“…Azadmanesh and Maleki ( 2022 ) apply the integration of BWM and fuzzy inference system to evaluate companies’ sustainable performance. Erol et al ( 2022 ) adopt fuzzy SWARA-COPRAS-EDAS and COPELAND-based framework to examine the feasibility of blockchain in sustainable supply chain. In response to COVID-19, there is research using integration of ANP and TOPSIS to investigate SC sustainability and resilience (Magableh & Mistarihi, 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Social sustainable supply chain performance assessment using hybrid fuzzy-AHP–DEMATEL–VIKOR: a case study in manufacturing enterprises

Guo

2022

Environ Dev Sustain

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Section: Literature Reviewmentioning

confidence: 99%

Social sustainable supply chain performance assessment using hybrid fuzzy-AHP–DEMATEL–VIKOR: a case study in manufacturing enterprises

Guo

2022

Environ Dev Sustain

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“…9. Erol et al (2022) The authors have ranked the most beneficial critical functions of the sustainable supply chain.…”

Section: Cognitive Maps Methods Technology Sectormentioning

confidence: 99%

Blockchain Adoption for Sustainable Supply Chain Management: Economic, Environmental, and Social Perspectives

et al. 2022

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Due to the rapid increase in environmental degradation and depletion of natural resources, the focus of researchers is shifted from economic to socio-environmental problems. Blockchain is a disruptive technology that has the potential to restructure the entire supply chain for sustainable practices. Blockchain is a distributed ledger that provides a digital database for recording all the transactions of the supply chain. The main purpose of this research is to explore the literature relevant to blockchain for sustainable supply chain management. The focus of this review is on the sustainability of the blockchain-based supply chain concerning environmental conservation, social equality, and governance effectiveness. Using a systematic literature review, a total of 136 articles were evaluated and categorized according to the triple bottom-line aspects of sustainability. Challenges and barriers during blockchain adoption in different industrial sectors such as aviation, shipping, agriculture and food, manufacturing, automotive, pharmaceutical, and textile industries were critically examined. This study has not only explored the economic, environmental, and social impacts of blockchain but also highlighted the emerging trends in a circular supply chain with current developments of advanced technologies along with their critical success factors. Furthermore, research areas and gaps in the existing research are discussed, and future research directions are suggested. The findings of this study show that blockchain has the potential to revolutionize the entire supply chain from a sustainability perspective. Blockchain will not only improve the economic sustainability of the supply chain through effective traceability, enhanced visibility through information sharing, transparency in processes, and decentralization of the entire structure but also will help in achieving environmental and social sustainability through resource efficiency, accountability, smart contracts, trust development, and fraud prevention. The study will be helpful for managers and practitioners to understand the procedure of blockchain adoption and to increase the probability of its successful implementation to develop a sustainable supply chain network.

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“…The decision methodology was developed by integrating DEMATEL and hierarchical EDAS. Even though decision models such as DEMATEL and EDAS are generally considered to be powerful and efficient through their effective algorithms (Erol et al, 2022;Ghorabaee et al, 2017;Mishra et al, 2020;Orji et al, 2022a), there is a huge possibility that these models can generate diverse outcomes and as such, the integration of both models can increase results reliability. A detailed explanation of the modelling steps within the integrated decision models is highlighted in the following subsections.…”

Section: Methodsmentioning

confidence: 99%

“…The EDAS method, developed by Keshavarz-Ghorabaee et al. (2015) for mainly multi-criteria inventory classification, evaluates alternatives based on positive and negative deviations out of the average solutions (Erol et al. , 2022).…”

Section: Methodsmentioning

confidence: 99%

“…The EDAS method, developed by Keshavarz- Ghorabaee et al (2015) for mainly multicriteria inventory classification, evaluates alternatives based on positive and negative deviations out of the average solutions (Erol et al, 2022). The EDAS is based on two measures namely positive and negative distances from the average solutions and the optimal option is that of the highest degree of positive distances from the average and the lowest degree of distance from the average (Mishra et al, 2020).…”

Section: Hierarchical Edasmentioning

confidence: 99%

See 1 more Smart Citation

Organizational change towards Lean Six Sigma implementation in the manufacturing supply chain: an integrated approach

Orji

U-Dominic

2022

BPMJ

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PurposeThe topic of Lean Six Sigma (LSS) implementation in a supply chain context is an emerging research stream comprising of diverse objectives and complex processes thereby presenting opportunities for further exploration and organizational process improvement. Thus, this study proposes an integrated multi-criteria decision-making methodology to determine what can facilitate the successful implementation of LSS as an organizational change strategy in the manufacturing supply chain.Design/methodology/approachThe proposed methodology based on Decision-Making Trial and Evaluation Laboratory and hierarchical Evaluation Based on Distance to Average Solution is employed to ascertain the relative importance and priorities of an identified framework of factors with the aid of opinions of managers in the Nigerian plastics industry.FindingsThe results show a high significance of institution-based factors (e.g. government regulations) and present relevant implications to the policymakers as well as the managers and practitioners of the plastics manufacturing industry.Originality/valueThis study indicates a possible pathway to accurately evaluate a framework of critical factors to integrate and institutionalize LSS in the manufacturing supply chain for organizational performance improvement.

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Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision making framework

Cited by 48 publications

References 81 publications

Social sustainable supply chain performance assessment using hybrid fuzzy-AHP–DEMATEL–VIKOR: a case study in manufacturing enterprises

Social sustainable supply chain performance assessment using hybrid fuzzy-AHP–DEMATEL–VIKOR: a case study in manufacturing enterprises

Blockchain Adoption for Sustainable Supply Chain Management: Economic, Environmental, and Social Perspectives

Organizational change towards Lean Six Sigma implementation in the manufacturing supply chain: an integrated approach

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