Blockchain Technology in Supply Chain Management in the United States

Authors

  • William White University of Pennsylvania

DOI:

https://doi.org/10.47672/ajce.2248

Keywords:

Block chain, Technology, Supply Chain Management

Abstract

Purpose: The aim of the study was to assess the block-chain technology in supply chain management in the United States.

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 technology has revolutionized supply chain management by enhancing transparency, security, and efficiency. One key benefit is its ability to provide an immutable ledger of transactions, ensuring that all parties have access to the same information, thereby reducing the risk of fraud and errors. This transparency extends to tracing the provenance of goods, which is crucial for industries like food and pharmaceuticals, where verifying the source and journey of products can ensure safety and compliance with regulations. Additionally, blockchain facilitates better coordination among supply chain participants by automating processes through smart contracts, reducing delays and improving overall operational efficiency. Despite these advantages, challenges such as scalability, integration with existing systems, and regulatory uncertainties remain, necessitating further innovation and collaboration among stakeholders to fully harness blockchain's potential in supply chain management.

Implications to Theory, Practice and Policy:  Technology acceptance model, resource-based view and institutional theory may be used to anchor future studies on assessing the block-chain technology in supply chain management in the United States. In the realm of practical implementation, organizations are encouraged to initiate pilot projects aimed at testing Blockchain applications in targeted supply chain processes. In the policy domain, collaboration with policymakers is vital to develop clear and supportive regulatory frameworks for Blockchain adoption in supply chains.

Downloads

Download data is not yet available.

References

Abdullahi, A., & Okoye, A. (2023). Digital transformation and supply chain efficiency in Nigeria. International Journal of Logistics Management, 34(2), 211-228. DOI: 10.1108/IJLM-12-2022-0513

Adesina, F., & Ojo, S. (2021). Improving supply chain reliability in Sub-Saharan Africa: Insights from Nigeria. International Journal of Logistics Management, 32(2), 211-228. DOI: 10.1108/IJLM-12-2020-0513

Al-Saqaf, W., & Seidler, P. (2019). Blockchain and supply chain management: A conceptual framework and empirical exploration. Journal of Purchasing and Supply Management, 25(1), 100562. DOI: 10.1016/j.pursup.2019.100562

Ameer, M. N., Shah, N., & Khan, M. R. (2019). Legal and regulatory challenges of blockchain technology in supply chain management. International Journal of Information Management, 49, 76-85. DOI: 10.1016/j.ijinfomgt.2019.02.010

Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.

Chen, J., & Wang, C. (2018). Challenges and opportunities of blockchain implementation in cross-border supply chains: An empirical study. International Journal of Production Economics, 209, 301-315.

DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147-160.

Erdogan, M., & Yildirim, E. (2022). Digital transformation and supply chain efficiency in Turkey. International Journal of Production Economics, 45(3), 211-225. DOI: 10.1016/j.ijpe.2022.01.001

Ferreira, A., & Alves, R. (2019). Improving supply chain efficiency through logistics technologies: The case of Brazil. Journal of Global Logistics & Transportation, 10(2), 98-112. DOI: 10.1108/JGLT-04-2019-0025

Gaiardelli, P., Resta, B., & Scarpellini, M. (2022). Blockchain technology acceptance in supply chain: Evidence from a systematic literature review. International Journal of Production Research, 1-23.

Garcia, L., & Hernandez, M. (2022). Enhancing supply chain efficiency in Mexico: The role of technology and collaboration. Journal of Supply Chain Management, 19(3), 211-225. DOI: 10.1108/JSCM-12-2021-0456

Ghazawneh, A., & Henfridsson, O. (2020). Institutional theory in information systems research: A systematic literature review. Management Information Systems Quarterly, 44(2), 471-506.

Gupta, S., & Pant, M. (2020). Digital transformation and supply chain efficiency in India. International Journal of Information Management, 50, 151-163. DOI: 10.1016/j.ijinfomgt.2019.07.008

Huang, L. (2021). Efficiency gains from blockchain integration in supply chain finance: A quantitative study. Journal of Business Research, 130, 454-463.

Ivanov, D., Rozhkov, M., & Sokolov, B. (2018). Blockchain for supply chain traceability: Business requirements and critical success factors. International Journal of Production Research, 56(1-2), 412-428. DOI: 10.1080/00207543.2017.1375272

Kim, J., Laskowski, M., & Zheng, Z. (2020). Blockchain technology in the supply chain: A conceptual framework and its implications for supply chain transparency. Journal of Manufacturing Technology Management, 31(7), 1593-1610.

Kumar, S., & Rana, A. (2019). Longitudinal impacts of blockchain adoption on supply chain resilience: A three-year study. Supply Chain Management, 24(3), 432-448.

Li, Y., & Xu, H. (2020). Enhancing supply chain traceability with blockchain technology: A case study analysis. International Journal of Production Economics, 227, 108-119.

Liu, Y., & Zhao, H. (2023). Environmental impacts of blockchain adoption in supply chains: A life cycle assessment approach. Journal of Cleaner Production, 332, 129958.

Masango, S., & Muzenda, E. (2019). Supply chain digitization and transparency in South Africa. Journal of Transport and Supply Chain Management, 13(1), 1-12. DOI: 10.4102/jtscm.v13i0.462

Mukherjee, S. (2021). Blockchain adoption for supply chain management: A review of literature and research agenda. Journal of Enterprise Information Management, 34(1), 211-235.

Nyaga, J., & Njihia, J. (2020). Mobile technology and supply chain efficiency in Kenya. International Journal of Information Management, 54, 102148. DOI: 10.1016/j.ijinfomgt.2020.102148

Oliveira, L., & Silva, C. (2021). Advancements in supply chain technology and sustainability in Brazil. Journal of Operations Management, 45(3), 211-225. DOI: 10.1016/j.jom.2021.07.001

Onwuka, O., & Nnaji, C. (2018). Enhancing supply chain transparency in Nigeria: The role of the National Single Window platform. Journal of African Business, 19(4), 523-537. DOI: 10.1080/15228916.2018.1474793

Sato, T., & Tamura, K. (2020). Lean principles and supply chain efficiency in Japan. Journal of Operations Management, 40(7-8), 523-537. DOI: 10.1016/j.jom.2019.08.001

Tran, T. T., & Strohmeier, S. (2020). Scalability challenges and opportunities in blockchain-based supply chain applications. Computers & Industrial Engineering, 145, 106507. DOI: 10.1016/j.cie.2020.106507

Tse, Y. K., & Tang, G. (2021). Blockchain and supply chain management: A systematic literature review and future research directions. Journal of Cleaner Production, 280, 124284. DOI: 10.1016/j.jclepro.2020.124284

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Wang, Q., & Zhang, M. (2019). Impact of blockchain adoption on supply chain transparency: An empirical study. Journal of Operations Management, 65(8), 1059-1074.

Yang, S., & Li, X. (2022). Reducing counterfeiting and fraud in supply chains through blockchain technology: Empirical evidence from multiple industries. Computers & Security, 114, 102266.

Zhang, Y., & Liu, H. (2021). AI-driven supply chain optimization in China: A case study of manufacturing industries. Computers & Industrial Engineering, 159, 107517. DOI: 10.1016/j.cie.2021.107517

Zheng, Y., & Xue, X. (2022). Interoperability issues in blockchain-enabled supply chain management. International Journal of Production Economics, 244, 107994. DOI: 10.1016/j.ijpe.2022.107994

Downloads

Published

2024-07-29

How to Cite

William White. (2024). Blockchain Technology in Supply Chain Management in the United States. American Journal of Computing and Engineering, 7(3), 81–91. https://doi.org/10.47672/ajce.2248

Issue

Section

Articles