The Influence of Block Chain-Enabled Supply Chain Systems on Transaction Transparency in Multinational Corporations in Canada

Authors

  • Michael Thompson University of Waterloo

DOI:

https://doi.org/10.47941/ijce.2841

Keywords:

Supply Chain Systems, Transaction Transparency, Multinational Corporations

Abstract

Purpose: The purpose of this article was to influence of block chain-enabled supply chain systems on transaction transparency in multinational corporations in Canada.

Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.

Findings: ​ Blockchain-enabled supply chain systems have improved transaction transparency in Canadian multinationals by providing secure, real-time records that reduce errors and fraud. Companies report better traceability and trust, though high costs and technical challenges still limit wider adoption. Overall, blockchain has a strong positive impact on supply chain transparency.

Unique Contribution to Theory, Practice and Policy: Transaction cost theory (TCT), resource-based view (RBV) & technology-organization-environment (TOE) may be used to anchor future studies on the influence of block chain-enabled supply chain systems on transaction transparency in multinational corporations in Canada. Mental health support is not just a wellness initiative it is a strategic retention tool. At the policy level, this study supports the integration of mental health standards into labor and occupational health regulations within the healthcare sector.

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Published

2025-06-27

How to Cite

Thompson , M. (2025). The Influence of Block Chain-Enabled Supply Chain Systems on Transaction Transparency in Multinational Corporations in Canada. International Journal of Computing and Engineering, 4(3), 20 – 30. https://doi.org/10.47941/ijce.2841

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Articles