Understanding the Determinants of Blockchain Adoption in Supply Chains: An Empirical Study in China

Ka Shing Wilson Leung*, Man Kit Chang, Man Lai Cheung, Si Shi, Paddy C. K. Chan

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review


This study adopted an affordance approach to examine how supply chain managers interpret the possible benefits that can be obtained in blockchain enabled supply chain applications. With a focus on governance efficiency improvement, the effects of traceability and transparency affordance on uncertainty reduction were examined from the perspective of transaction cost theory in the supply chain industry. Partial least squares–structural equation modelling was used to analyse the data collected from 364 experienced supply chain managers in China. The results revealed that traceability affordance exerted larger significant effects on environmental and trading-partner uncertainty than transparency affordance, which, in turn, affected the adoption intention. This study contributes to the literature by embedding transaction cost in blockchain affordances. The findings are useful in guiding practitioners to improve blockchain system design to reduce uncertainties in the supply chain environment, leading to a higher rate of blockchain technology adoption.
Original languageEnglish
Title of host publicationECIS 2023 Proceedings
PublisherAssociation for Information Systems
Number of pages19
Publication statusPublished - Jun 2023
Event31st European Conference on Information Systems, ECIS 2023 - Kristiansand, Norway
Duration: 11 Jun 202316 Jun 2023


Conference31st European Conference on Information Systems, ECIS 2023
Internet address

User-Defined Keywords

  • Blockchain technology
  • Supply chain management
  • Affordance theory
  • Transaction cost theory


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