Article2020

Unearthing the determinants of Blockchain adoption in supply chain management

Lai‐Wan Wong · Garry Wei‐Han Tan · Voon‐Hsien Lee · Keng‐Boon Ooi · Amrik Singh Sohal

412 citations0/0 files storedInternational Journal of Production Research

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Technology Adoption and User Behaviour Blockchain Technology Applications and Security Big Data and Business Intelligence

Abstract

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.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1991The theory of planned behavior 2003User Acceptance of Information Technology: Toward A Unified View1 2015A primer on partial least squares structural equation modeling (PLS-SEM)2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 2007A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents 2000Technology Readiness Index (Tri)2004The impact of supply chain management practices on competitive advantage and organizational performance

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