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Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals

Author

Listed:
  • Usman Farooq
  • Khuram Shahzad
  • ZhenZhong Guan
  • Abdul Rauf

Abstract

Purpose - This study aims to identify the essential elements impacting the adoption of blockchain technology (BCT) in supply chain management (SCM) by integrating the technology acceptance and information system success (ISS) models. Design/methodology/approach - Questionnaire-based data was collected from 236 supply chain professionals from Beijing. The proposed research framework was evaluated using structural equation modeling (SEM) by using SPSS 23 and AMOS 24 software. Findings - The empirical findings specify the positive influence of total quality on perceived usefulness and compatibility. Further, perceived ease of use positively influences perceived usefulness, compatibility and behavioral intention. Moreover, perceived usefulness positively impacts compatibility and behavioral intention. Compatibility positively influences behavioral intention. Finally, technology trust was found to be a significant moderator between perceived usefulness and behavioral intention and between perceived ease of use and adoption intention to use BCT in SCM. Originality/value - This study empirically develops the second-order construct of total quality, representing the ISS model. Furthermore, this study established how the ISS and technology acceptance models influence behavioral intention through compatibility. Finally, this study confirmed the moderating role of technology trust among perceived ease of use, perceived usefulness and behavioral intention.

Suggested Citation

  • Usman Farooq & Khuram Shahzad & ZhenZhong Guan & Abdul Rauf, 2024. "Unlocking the potential of blockchain technology in China’s supply chain: a survey of industry professionals," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 13(2), pages 333-356, April.
    • Handle: RePEc:eme:jepppp:jepp-03-2023-0028
    DOI: 10.1108/JEPP-03-2023-0028
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