Critical success factors of blockchain technology to implement the sustainable supply chain using an extended decision-making approach

Jian Zhang, Xuanjian Zhang, Wei Liu, Ming Ji and Arunodaya Raj Mishra

Technological Forecasting and Social Change, 2022, vol. 182, issue C

Abstract: Recently, blockchain technology has greatly revolutionized industries by offering a variety of applications in various domains, including finance, healthcare, the food industry, and the supply chain. Blockchain generally refers to a secured, shared, distributed ledger comprising a list of transactions, which is not modifiable without reaching a consensus. Blockchain technology attempts to prepare the stage for smart networks for data mobility, which can remarkably make sustainable supply chain management (SSCM) more productive and transparent. Thus, numerous companies have either already started the implementation of this technology or are currently considering it in order to enhance their business quality. Therefore, in this paper, a new decision framework called the q-rung orthopair fuzzy set (q-ROFS)-entropy-rank sum-weighting method (RSWM)-multi-objective optimization with ratio analysis with the full multiplicative form (MULTIMOORA) is developed. In this approach, the q-ROF-entropy-RSWM is utilized to obtain the subjective and objective weights of critical success factors, and the MULTIMOORA model is used to assess the preferences of manufacturing firms to implement blockchain technology in SSCM. An empirical case study is taken to evaluate the critical success factors of implementing blockchain technology in SSCM. Also, comparison and sensitivity investigation are made to show the superiority of the developed framework.

Keywords: Blockchain technology; Sustainable supply chain; Q-rung orthopair fuzzy sets; Entropy; MULTIMOORA; Rank-sum weight; Multi-criteria decision-making (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:182:y:2022:i:c:s0040162522004048

DOI: 10.1016/j.techfore.2022.121881

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