Blockchain Capabilities for Supply Chain Management
B.T. Lima,
G.M. Devós Ganga,
M. Godinho () and
L.A. Santa-Eulalia
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M. Godinho: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
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Abstract:
Blockchain is a novel technology that has attracted supply chain management (SCM) interest. As the literature suggests the positive effect of such technology on SCM, this study aims to provide a systematic understanding of blockchain capabilities for SCM (BCSCM). Focusing on resource-based view (RBV) and composition-based view (CBV) theories, a systematic literature review is performed to map BCSCM, their main supporting resources, and the competitive advantages generated. A framework is proposed to highlight and explain the combined use of RBV and CBV. BCSCM are presented and categorised according to the different competitive advantages they can lead to. The relationship between resources, BCSCM, and competitive advantages is discussed. To the best of the authors' knowledge, the literature lacks a systematic review exploring BCSCM from the combined RBV-CBV perspective. Further, the identification, proposition, and linkage between the capabilities, competitive advantages, and resources, as well as a final BCSCM classification, have not previously been addressed in the literature. [Submitted: 17 September 2021; Accepted: 25 June 2022] Copyright \textcopyright 2023 Inderscience Enterprises Ltd.
Keywords: Block-chain; Blockchain; Blockchain advantage; blockchain advantages; Blockchain benefit; blockchain benefits; blockchain capabilities; Blockchain capability; Competition; Competitive advantage; competitive advantages; composition-based view; Composition-based view; Digital supply chain; digital supply chains; digitalisation; Digitalization; Distributed ledg technology; Distributed ledger; distributed ledger technology; DLT; Industry 4.0; Information and Communication Technologies; information and communication technology; Information management; resource-based view; Resource-based view; SCM; supply chain management; Supply chain management (search for similar items in EconPapers)
Date: 2023
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Published in European Journal of Industrial Engineering, 2023, 17 (5), pp.657--695. ⟨10.1504/EJIE.2023.133214⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04433889
DOI: 10.1504/EJIE.2023.133214
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