The Effects of Blockchain on Information Flow of Supply Chain

Document Type : Original Article

Authors

1 Assistant Professor, University of Qom, Qom, Iran.

2 Doctor. Department UKM (national university of Malaysia), Faculty of information science and technology, Bangi, Selangor,Malaysia.

Abstract

Purpose: this paper aimed to explore the structural potential of blockchain in supply chain of interchangeable information and knowledge for enhancing trust and accessibility of stakeholders.
Methodology: documentary method and reviewing various papers related to the blockchain area of subject.
Findings:  blockchain has the capacity to respond to some of the serious challenges of supply chain management. Structural enhancement of information security could reduce unproductive controls and facilitate access to information. More trustworthiness in knowledge would be gained as a result of reliable data and information.
 
Conclusion: a new framework for information management in supply chain structured with blockchain on the basis of IOT is put forth. New framework shows how blockchain could help keep tracking of event tractability, information exchange speed and information sharing security and using artificial intelligence. As a result, suitable information management enhanced with clarity, accuracy, speed, security and access to information will insure validating data and efficiency of supply chain.
 
 

Keywords

References

  1. Bocek, T., & Stiller, B. (2018). Smart Contracts – Blockchains in the Wings. In C. Linnhoff-Popien, R. Schneider, & M. Zaddach (Eds.), Digital Marketplaces Unleashed. Berlin, Heidelberg: Springer Berlin Heidelberg, (pp. 169-184).
  2. Cai, J., Liu, X., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2), 512-521.
  3. Camerinelli, E. (2016). Blockchain in the supply chain. Enrico Camerinelli Google Scholar.
  4. Chang, Y., Iakovou, E., & Shi, W. (2019). Blockchain in Global Supply Chains and Cross Border Trade: A Critical Synthesis of the State-of-the-Art, Challenges and Opportunities. Available in: https://arxiv.org/abs/1901.02715.
  5. Dou, Y., Zhu, Q., & Sarkis, J. (2018). Green multi-tier supply chain management: An enabler investigation. Journal of Purchasing and Supply Management, 24(2), 95-107. doi:https://doi.org/10.1016/j.pursup.2017.07.001.
  6. Dubey, R., Altay, N., Gunasekaran, A., Blome, C., Papadopoulos, T., & Childe, S. J. (2018). Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry. International Journal of Operations & Production Management, 38(1), 129-148.
  7. Dweekat, A. J., Hwang, G., & Park, J. (2017). A supply chain performance measurement approach using the internet of things: Toward more practical SCPMS. Industrial Management & Data Systems, 117(2), 267-286.
  8. Eaidgah, Y., Maki, A. A., Kurczewski, K., & Abdekhodaee, A. (2016). Visual management, performance management and continuous improvement: A lean manufacturing approach. International Journal of Lean Six Sigma, 7(2), 187-210. doi:doi:10.1108/IJLSS-09-2014-0028
  9. El Kadiri, S., Grabot, B., Thoben, K. D., Hribernik, K., Emmanouilidis, C., Von Cieminski, G., & Kiritsis, D. (2016). Current trends on ICT technologies for enterprise information systems. Computers in Industry, 79, 14-33.
  10. Feng, T. (2016, 24-26 June 2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. Paper presented at:  the 2016 13th International Conference on Service Systems and Service Management (ICSSSM).
  11. Fernandes, A. C., Sampaio, P., Sameiro, M., & Truong, H. Q. (2017). Supply chain management and quality management integration: A conceptual model proposal. International Journal of quality & reliability management, 34(1), 53-67.
  12. Genovese, A., Acquaye, A. A., Figueroa, A., & Koh, S. L. (2017). Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications. Omega, 66, 344-357.
  13. Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International journal of production economics, 87(3), 333-347.
  14. Gunasekaran, A., Subramanian, N., & Papadopoulos, T. (2017). Information technology for competitive advantage within logistics and supply chains: A review. Transportation Research Part E: Logistics and Transportation Review, 99, 14-33.
  15. Hahn, G. J., & Packowski, J. (2015). A perspective on applications of in-memory analytics in supply chain management. Decision Support Systems, 76, 45-52.
  16. Ivanov, D. (2010). An adaptive framework for aligning (re) planning decisions on supply chain strategy, design, tactics, and operations. International Journal of Production Research, 48(13), 3999-4017.
  17. Ivanov, D., & Sokolov, B. (2010). Adaptive supply chain management: Springer.
  18. Kim, H. M., & Laskowski, M. (2018). Toward an ontology driven blockchain design for supply chain provenance. Intelligent Systems in Accounting, Finance and Management, 25(1), 18-27.
  19. Kshetri, N. (2018). 1 Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80-89.
  20. Lambert, D. M., & Enz, M. G. (2017). Issues in supply chain management: Progress and potential. Industrial Marketing Management, 62, 1-16.
  21. Lambin, E. F., Gibbs, H. K., Heilmayr, R., Carlson, K. M., Fleck, L. C., Garrett, R. D.&Walker, N. F. (2018). The role of supply-chain initiatives in reducing deforestation. Nature Climate Change, 8(2), 109-116. doi:10.1038/s41558-017-0061-1.
  22. Levin, S. (2003). Complex adaptive systems: exploring the known, the unknown and the unknowable. Bulletin of the American Mathematical Society, 40(1), 3-19.
  23. Li, G., Yang, H., Sun, L., Ji, P., & Feng, L. (2010). The evolutionary complexity of complex adaptive supply networks: a simulation and case study. International Journal of Production Economics, 124(2), 310-330.
  24. Lin, Q., Yan, H., Huang, Z., Chen, W., Shen, J., & Tang, Y. (2018). An ID-based linearly homomorphic signature scheme and its application in blockchain. IEEE Access, 6, 20632-20640.
  25. Lu, D., Ding, Y., Asian, S., & Paul, S. K. (2018). From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty. Global Journal of Flexible Systems Management, 19(1), 3-20. doi:10.1007/s40171-017-0161-9
  26. Means, G. (2017). The modern corporation and private property: Routledge.
  27. Ouaddah, A., Elkalam, A. A., & Ouahman, A. A. (2017). Towards a Novel Privacy-Preserving Access Control Model Based on Blockchain Technology in IoT. Paper presented at: the Europe and MENA Cooperation Advances in Information and Communication Technologies, Cham.
  28. Paul, A., Ahmad, A., Rathore, M. M., & Jabbar, S. (2016). Smartbuddy: defining human behaviors using big data analytics in social internet of things. IEEE Wireless Communications, 23(5), 68-74. doi:10.1109/MWC.2016.7721744.
  29. Rezaei, M., Akbarpour Shirazi, M., & Karimi, B. (2017). IoT-based framework for performance measurement: a real-time supply chain decision alignment. Industrial Management & Data Systems, 117(4), 688-712.
  30. Rezaei, M., Shirazi, M. A., & Karimi, B. (2018). A multi-objective SCOR-based decision alignment for supply chain performance management. SCIENTIA IRANICA, 25(5), 2807-2823.
  31. Saito, K., & Yamada, H. (2016, 27-30 June 2016). What’s So Different about Blockchain? — Blockchain is a Probabilistic State Machine. Paper presented at: the 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW).
  32. Santoro, G., Vrontis, D., Thrassou, A., & Dezi, L. (2018). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347-354.
  33. Seebacher, S., & Schüritz, R. (2017). Blockchain technology as an enabler of service systems: A structured literature review. Paper presented at: the International Conference on Exploring Services Science.
  34. Sharma, P. K., Moon, S. Y., & Park, J. H. J. J. o. I. P. S. (2017). Block-VN: A distributed blockchain based vehicular network architecture in smart City. Journal of Information Processing Systems (JIPS), 13(1), 184-195. DOI: 10.3745/JIPS.03.0065.
  35. Toyoda, K., Mathiopoulos, P. T., Sasase, I., & Ohtsuki, T. (2017). A Novel Blockchain-Based Product Ownership Management System (POMS) for Anti-Counterfeits in the Post Supply Chain. IEEE Access, 5, 17465-17477. doi:10.1109/ACCESS.2017.2720760.
  36. Ur Rehman, M. H., Chang, V., Batool, A., & Wah, T. Y. (2016). Big data reduction framework for value creation in sustainable enterprises. International Journal of Information Management, 36(6), 917-928.
  37. Van der Valk, W., Sumo, R., Dul, J., & Schroeder, R. G. (2016). When are contracts and trust necessary for innovation in buyer-supplier relationships? A necessary condition analysis. Journal of Purchasing and Supply Management, 22(4), 266-277.

38.Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology?—a systematic review. PloS one, 11(10), e0163477.

39.Zheng, Z., Xie, S., Dai, H.N., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352-375.

 

 

 

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