Assessing the Impacts of Blockchain Technology on Supply Chain Efficiency: A Data-Driven Integrated Decision-Making Framework

Ardavan Babaei (), Erfan Babaee Tirkolaee (), Vladimir Simic (), Hêriş Golpîra () and Ferzat Anka ()
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Ardavan Babaei: K. N. Toosi University of Technology
Erfan Babaee Tirkolaee: Istinye University
Vladimir Simic: University of Belgrade
Hêriş Golpîra: Sa.C., Islamic Azad University
Ferzat Anka: Fatih Sultan Mehmet Vakif University

Group Decision and Negotiation, 2025, vol. 34, issue 4, No 8, 902 pages

Abstract: Abstract The digitalization of supply chains enhances efficiency and aligns with the expectations of customers and suppliers. In data-intensive industries, such as Oil and Gas (O&G), blockchain technology, a key tool for supply chain digitalization, offers substantial benefits. This study investigates how the latest advancements in blockchain technology can be utilized in Supply Chain Management (SCM) to enhance transparency, improve resilience, and enable automation. In particular, we focus on the adoption of blockchain in the O&G sector within the context of enterprise and business applications. To guide decision-making in uncertain conditions, we present a Data Envelopment Analysis (DEA)-based framework. To the best of the authors’ knowledge, this study represents the inaugural research endeavor to evaluate blockchain deployment strategies under deterministic and non-deterministic environments utilizing data-driven optimization models. This framework assesses blockchain adoption strategies for industries based on criteria associated with organization, supply chain, technology, and pressures and drivers. The findings highlight the framework’s applicability under uncertain conditions by implementing it to a case study of the Norwegian O&G sector. The results indicate that “Single Use” and “Substitution” strategies are ranked first and second, followed by “Localization” and “Transformation”.

Keywords: Blockchain adoption; Supply chain management; Performance evaluation; Data envelopment analysis; Oil and gas industry; Blockchain strategies (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10726-025-09934-z

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