Introducing a managerial decision-support tool for technology adoption in supply chains: a case study in the shipbuilding industry

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dc.authorid0000-0003-4538-4944
dc.authorid0000-0001-9323-5025
dc.contributor.authorKarakas, Serkan
dc.contributor.authorAcar, Avni Zafer
dc.date.accessioned2026-04-04T18:55:39Z
dc.date.available2026-04-04T18:55:39Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractBlockchain technology promises significant benefits within the scope of the supply chain and attracts the attention of scholars and practitioners. Academic research focused on revealing the disruptive potential of blockchain in supply chains, in functional and structural dynamics, is visibly increasing. Furthermore, businesses have realised the potential of the technology, and several have launched various platforms, such as CargoX, Blockshipping, and IQAX's eBL. Some platforms, however, have ceased to exist due to a number of challenges, including costs, low profitability, and scalability-related issues. This context highlights the need for a holistic and practical perspective on the net value of blockchain adoption that considers both the benefits and risks of the technology. Nevertheless, the primary shortcoming of the existing research is that the proposed adoption models are mostly conceptual and have low applicability. Therefore, this study aims to fill this gap by introducing the net value of adopting technology. The proposed methodology outlines the computational foundation of the proposed net value metric, and an engineering firm operating in the shipbuilding supply chain is identified for pilot application and early implementation of the proposed decision-support model.
dc.description.sponsorshipIstanbul Bilgi University
dc.description.sponsorshipThe authors would like to express their heartfelt gratitude to the editor and anonymous reviewers for their constructive and invaluable feedback on the study. The authors express gratitude to Istanbul Bilgi University for its support.
dc.identifier.doi10.1080/00207543.2025.2551242
dc.identifier.doi10.1080/00207543.2025.2551242
dc.identifier.endpage10444
dc.identifier.issn0020-7543
dc.identifier.issn1366-588X
dc.identifier.issue24
dc.identifier.scopus2-s2.0-105015197616
dc.identifier.scopusqualityQ1
dc.identifier.startpage10413
dc.identifier.urihttps://doi.org/10.1080/00207543.2025.2551242
dc.identifier.urihttps://hdl.handle.net/11411/10506
dc.identifier.volume63
dc.identifier.wosWOS:001564737300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofInternational Journal of Production Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectBlockchain
dc.subjectDecision Support
dc.subjectPilot Study
dc.subjectSupply Chain Management
dc.subjectTechnology Adoption
dc.subjectToe
dc.titleIntroducing a managerial decision-support tool for technology adoption in supply chains: a case study in the shipbuilding industry
dc.typeArticle

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