Uncovering dimensions of the impact of blockchain technology in supply chain management
Ulpan Tokkozhina (),
Ana Lucia Martins () and
Joao C. Ferreira ()
Additional contact information
Ulpan Tokkozhina: Business Research Unit (BRU-IUL)
Ana Lucia Martins: Business Research Unit (BRU-IUL)
Joao C. Ferreira: Instituto Universitário de Lisboa (ISCTE-IUL)
Operations Management Research, 2023, vol. 16, issue 1, No 6, 99-125
Abstract:
Abstract Supply chains around the globe are faced with difficulties and disruptions due to the worldwide pandemic situation and digital solutions are needed. There is significant research interest in the implementation of blockchain technology (BCT) for supply chain management (SCM). A challenge that remains is analyzing the interactions of BCT in different areas of SCM. This study aims to identify the influential dimensions of the impact of BCT adoption in SCM and to discuss the synergetic and counter-synergetic effects between these dimensions. Advantages, disadvantages, and constraints of adopting BCT in the SCM context are explored through a systematic literature review, which provides the foundation for identifying the dimensions of impact. The interactions between these dimensions are conceptually discussed. This study introduces three dimensions of the impact of implementing BCT in SCM: ‘operations and processes’, ‘supply chain relationships’, and ‘innovation and data access’. These dimensions are interrelated and have overlapping areas within them, which leads to synergetic and counter-synergetic effects. The overlaps and synergies of the three dimensions of impact are illustrated, and the virtuous and vicious cycles of BCT adoption in SCM cases are highlighted. This study assists scholars and practitioners by clarifying the synergetic relationships within the dimensions of the impact of BCT in SCM and by providing considerations to prevent undesirable effects and expand desired ones.
Keywords: Blockchain technology; Supply chain management; Dimensions of impact; Advantages; Disadvantages; Constraints (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12063-022-00273-9
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