Unlocking blockchain's potential for supply chain transformation: A robust system analysis for enhanced strategic performance

Supply chains (SCs) are becoming more complex due to globalization, the increased risk of disruptions, and regulatory requirements, which mandate greater coordination among stakeholders. The integration of a blockchain-based information-sharing mechanism can improve compliance and streamline operations across SC networks. However, blockchain adoption in SCs remains relatively unexplored, leading to managers' unfamiliarity with its potential outcomes and increasing conservatism. Therefore, this study incorporates a strategic perspective into analyzing blockchain adoption enablers. We propose a robust system analysis-based framework to investigate the interplay between enablers and supply chain performance (SCP) improvement. First, the critical success factor theory and the balanced scorecard are employed to identify and categorize the enablers in establishing a blockchain-based sustainable SC network. The systems theory-enabled fuzzy cognitive map is developed to create a causal-based model of the identified 23 enablers, and then a hybrid learning algorithm is adopted to quantify the impact of these factors on the four strategic SCP metrics, including cost-effectiveness, improved quality, lead time minimization, and increased customer satisfaction. Afterward, the blockchain adoption enablers analysis problem is formulated using the fixed-input robust data envelopment analysis to identify the most effective factors on SCP across diverse scenarios. The findings imply that each enabler affects SCP metrics either directly through causal relationships or indirectly via other enablers. Considering the overall impact, smart contracts, traceability, and streamlined communication can be regarded as key drivers that shape mediators and consequently enhance SCP. The results further indicate that the proposed framework supports greater flexibility in designing adoption strategies. • Proposing a structured framework to investigate blockchain's role in supply chain transformation • Adopting critical success factors theory and a balanced scorecard to explore adoption enablers • Evaluating the impact of blockchain adoption on strategic performance through systems modeling • Using robust decision-making to identify key enablers considering managerial conservatism • Emphasizing performance metrics in shaping supply chain strategies through blockchain

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Publication Details

Journal
Technological Forecasting and Social Change
Published
2025-06-02
DOI
https://doi.org/10.1016/j.techfore.2025.124216
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25

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article

Unlocking blockchain's potential for supply chain transformation: A robust system analysis for enhanced strategic performance

Babak Mohamadpour Tosarkani, Samuel Yousefı
1 citations
Technological Forecasting and Social Change
Blockchain Technology Applications and Security
3.25
article

Unlocking blockchain's potential for supply chain transformation: A robust system analysis for enhanced strategic performance

Babak Mohamadpour Tosarkani, Samuel Yousefı
article en
1 citations

Abstract

Supply chains (SCs) are becoming more complex due to globalization, the increased risk of disruptions, and regulatory requirements, which mandate greater coordination among stakeholders. The integration of a blockchain-based information-sharing mechanism can improve compliance and streamline operations across SC networks. However, blockchain adoption in SCs remains relatively unexplored, leading to managers' unfamiliarity with its potential outcomes and increasing conservatism. Therefore, this study incorporates a strategic perspective into analyzing blockchain adoption enablers. We propose a robust system analysis-based framework to investigate the interplay between enablers and supply chain performance (SCP) improvement. First, the critical success factor theory and the balanced scorecard are employed to identify and categorize the enablers in establishing a blockchain-based sustainable SC network. The systems theory-enabled fuzzy cognitive map is developed to create a causal-based model of the identified 23 enablers, and then a hybrid learning algorithm is adopted to quantify the impact of these factors on the four strategic SCP metrics, including cost-effectiveness, improved quality, lead time minimization, and increased customer satisfaction. Afterward, the blockchain adoption enablers analysis problem is formulated using the fixed-input robust data envelopment analysis to identify the most effective factors on SCP across diverse scenarios. The findings imply that each enabler affects SCP metrics either directly through causal relationships or indirectly via other enablers. Considering the overall impact, smart contracts, traceability, and streamlined communication can be regarded as key drivers that shape mediators and consequently enhance SCP. The results further indicate that the proposed framework supports greater flexibility in designing adoption strategies. • Proposing a structured framework to investigate blockchain's role in supply chain transformation • Adopting critical success factors theory and a balanced scorecard to explore adoption enablers • Evaluating the impact of blockchain adoption on strategic performance through systems modeling • Using robust decision-making to identify key enablers considering managerial conservatism • Emphasizing performance metrics in shaping supply chain strategies through blockchain

Technological Forecasting and Social ChangeVol. 218
University of British Columbia (CA), University of British Columbia, Okanagan Campus (CA), Okanagan University College (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 9%
Blockchain Technology Applications and Security
3.25
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