Unearthing the determinants of Blockchain adoption in supply chain management
By Lai-Wan Wong, Garry Wei-Han Tan, Voon‐Hsien Lee, Keng-Boon Ooi, Amrik S. Sohal. International Journal of Production Research, 2020
353 citations recorded by the source corpus.
The behavioural intention to adopt Blockchain for supply chain management (BCSCM) is studied in this paper. The research framework adopted considers how Performance Expectancy (PE), Effort Expectancy (EE), Facilitating Condition (FC), Technology Readiness (TR), Technology Affinity (TA) and Trust (TT) can lead to the adoption of the technology. Data gathered from 157 firms is analysed using SPSS version 2 while the quality of the measurement is tested using WarpPLS. Findings revealed that FC, TR and TA have a positive influence on intention to use BCSCM and regulatory support moderates the effect of FC. This study offers valuable insights into the applicability of Blockchain technology for supply chain management.
Subfields: Artificial Intelligence, Information Systems, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/bf3c86d025bedf4da8d2b0dcddda84596ad09c0f
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Citations in the corpus
- Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy (2020, methodology): “Very few empirical studies of BCT adoption in SCM were conducted recently (Kamble, Gunasekaran, and Arha 2019; Queiroz and Fosso Wamba 2019; Fosso Wamba, Queiroz, and Trinchera 2020; Wong et al. 2020).”