Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66244
Volume:
10 |
7 |
Jul 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MBA
Vidya Vikas Institute of Engineering and Technology, Mysore
Asst Prof
Vidya Vikas Institute of Engineering and Technology, Mysuru.
Technological developments in digital technologies have greatly impacted supply chain management through increased efficiency, transparency, and better decision-making processes. This research will be conducted to explore the effects of the technological revolution in terms of supply chain management. Technologies such as artificial intelligence (AI), internet of things (IoT), big data analytics, blockchain, cloud computing, and automation will be discussed. The purpose of this research is to find out how these technologies affect supply chain management, inventory management, logistics, and communication.
KEYWORDS
The efficiency of the whole supply chain has been improved through technology. Automation has reduced human labor and costs. Real-time monitoring has ensured better visibility in the whole supply chain process. Artificial intelligence has improved demand forecasting and inventory management. Blockchain technology has enhanced transparency and traceability of products
Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). Role of technological dimensions of green supply chain management in improving supply chain performance. Technological Forecasting and Social Change, 166, 120635. https://doi.org/10.1016/j.techfore.2021.120635 Büyüközkan, G., & Göçer, F. (2018). Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. https://doi.org/10.1016/j.compind.2018.02.010 Christopher, M. (2016). Logistics & supply chain management (5th ed.). Pearson Education. Dolgui, A., & Ivanov, D. (2022). Artificial intelligence in supply chain management: A review. International Journal of Production Research, 60(19), 5834–5858. Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23–34. https://doi.org/10.1016/j.compind.2017.04.002 Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10), 2904–2915. Kamble, S. S., Gunasekaran, A., & Sharma, R. (2018). Analysis of the driving and dependence power of barriers to adopt Industry 4.0 in Indian manufacturing industry. Computers in Industry, 101, 107–119. Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations & Production Management, 37(1), 10–36. Queiroz, M. M., & Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation. International Journal of Information Management, 46, 70–82.
Publication Date
7/21/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
7
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...