Exploring Cloud Computing Adoption in Supply Chain Management: Key Drivers and Challenges

  IJCTT-book-cover
 
         
 
© 2024 by IJCTT Journal
Volume-72 Issue-8
Year of Publication : 2024
Authors : Sanjay Vijay Mhaskey
DOI :  10.14445/22312803/IJCTT-V72I8P117

How to Cite?

Sanjay Vijay Mhaskey, "Exploring Cloud Computing Adoption in Supply Chain Management: Key Drivers and Challenges," International Journal of Computer Trends and Technology, vol. 72, no. 8, pp. 114-124, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I8P117

Abstract
Cloud computing is becoming increasingly popular among businesses across various industries due to its numerous benefits and potential for innovative business strategies. This concept involves utilizing a broad range of computing resources, such as servers, storage, databases, networking components, software applications, and data analysis tools, through the internet (often referred to as "the cloud"). Its appealing features, including flexibility to adapt to changes, scalability of resources, and cost-effectiveness, have caught the attention of supply chain enterprises, resulting in a significant shift towards adopting a cloud-based approach for managing their supply chain operations. This paper focuses on the key drivers compelling supply chain companies to adopt the cloud model for managing their operations. Several real-life examples of companies successfully employing the use of cloud technology in their supply chain are presented. Overall, the research highlights the potential of cloud computing in revolutionizing supply chain management and offers insights for future improvements in this field.

Keywords
AI, Analytics blockchain, Cloud computing, IoT, Supply Chain Management, Scalability.

Reference

[1] Hossein Akbaripour, Mahmoud Houshmand, and Omid Fatahi Valilai, “Cloud-Based Global Supply Chain: A Conceptual Model and Multilayer Architecture,” Journal of Manufacturing Science and Engineering, vol. 137, no. 4, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Anguzu Ronald and Aila Fredrick, “Sources of Supply Chain Volatility: A Literature Review,” International Journal of Supply Chain Management, vol. 9, no. 2, pp. 20-36, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Christopher S. Tang, “Robust Strategies for Mitigating Supply Chain Disruptions,” International Journal of Logistics: Research and Applications, vol. 9, no. 1, pp. 33-45, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Knut Alicke et al., Tech and Regionalization Bolster Supply Chains, But Complacency Looms, McKinsey & Company, Our Insights, 2023. [Online]. Available: https://www.mckinsey.com/capabilities/operations/our-insights/tech-and-regionalization-bolster-supply-chains-but-complacency-looms
[5] Consumer Behaviour in the Digital Age: A Deep Dive, Snware, 2023. [Online]. Available: https://snwareresearch.com/consumer-behaviour-in-the-digital-age-a-deep-dive/
[6] Aiolfi Simone, and E. Sabbadin, “The New Paradigm of The Omnichannel Retailing: Key Drivers, New Challenges and Potential Outcomes Resulting from The Adoption of An Omnichannel Approach,” International Journal of Business and Management, vol. 13, no. 1, pp. 85-109, 2017.
[Google Scholar] [Publisher Link]
[7] Knut Alicke, Daniel Rexhausen, and Andreas Seyfer, “Supply Chain 4.0-The Next-Generation Digital Supply Chain, McKinsey & Company, Our Insights, 2016. [Online]. Available: https://www.mckinsey.com/capabilities/operations/our-insights/supply-chain-40--the-next-generation-digital-supply-chain#/
[8] Aris A. Syntetos et al., “Supply Chain Forecasting: Theory, Practice, Their Gap and the Future,” European Journal of Operational Research, vol. 252, no. 1, pp. 1-26, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Matteo Montecchi, Kirk Plangger, and Michael Etter, “It’s Real, Trust Me! Establishing Supply Chain Provenance Using Blockchain,” Business Horizons, vol. 62, no. 3, pp. 283-293, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Kelsey Miller, “The Triple Bottom Line: What It Is & Why It’s Important,” Harvard Business School, 2020. [Online]. Available: https://online.hbs.edu/blog/post/what-is-the-triple-bottom-line
[11] CMX1, 6 Major Challenges to Sustainable Supply Chains-And How to Overcome Them [Online]. Available: https://www.cmx1.com/blog/6-major-challenges-to-sustainable-supply-chains
[12] Laura Ryser, Sean Markey, and Greg Halseth, “Scaling Up and Scaling Down Supply Chains in Volatile Resource-Based Economies,” Local Economy: The Journal of the Local Economy Policy Unit, vol. 35, no. 8, pp. 831-851, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Martin Christopher, and Helen Peck, “Building the Resilient Supply Chain,” The International Journal of Logistics Management, vol. 15, no. 2, pp. 1-14, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Pramod Mathur, and Harshika Mathur, “Cloud Services and Application Opportunities,” International Journal on Future Revolution in Computer Science & Communication Engineering, vol. 5, no. 1, pp. 87-90, 2019.
[Google Scholar] [Publisher Link]
[15] Bui Trong Hieu, and Bui Thi Kim Uyen, “Cloud Computing: The Key to Better Supply Chain Management-A Brief Review,” Journal of Multidisciplinary Engineering Science and Technology, vol. 8, no. 9, pp. 14559-14564, 2021.
[Google Scholar] [Publisher Link]
[16] Stephen Ezell, and Bret Swanson, “How Cloud Computing Enables Modern Manufacturing,” American Enterprise Institute, Information Technology and Innovation Foundation, 2017.
[Google Scholar] [Publisher Link]
[17] Mohamed Ben-Daya, Elkafi Hassini, and Zied Bahroun, “Internet of Things and Supply Chain Management: A Literature Review,” International Journal of Production Research, vol. 57, no. 15-16, pp. 4719-4742, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Piera Centobelli et al., “Innovation in the Supply Chain and Big Data: A Critical Review of The Literature,” European Journal of Innovation Management, vol. 25, no. 6, pp. 479-497, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Real Carbonneau, Kevin Laframboise, and Rustam Vahidov, “Application of Machine Learning Techniques for Supply Chain Demand Forecasting,” European Journal of Operational Research, vol. 184, no. 3, pp. 1140-1154, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Nir Kshetri, “1 Blockchain’s Roles in Meeting Key Supply Chain Management Objectives,” International Journal of Information Management, vol. 39, pp. 80-89, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Hamed Nozari and Javid Ghahremani Nahr, “The Impact of Blockchain Technology and The Internet of Things on The Agile and Sustainable Supply Chain,” International Journal of Innovation in Engineering, vol. 2, no. 2, pp. 33-41, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Ch V. N. U. Bharathi Murthy et al., “Blockchain Based Cloud Computing: Architecture and Research Challenges,” IEEE Access, vol. 8, pp. 205190-205205, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Linda Rosencrance, “7 Real-life Blockchain in the Supply Chain Use Cases and Examples,” TechTarget, 2020. [Online]. Available: https://www.techtarget.com/searcherp/feature/4-key-blockchain-in-supply-chain-use-cases-and-examples
[24] Mihalis Giannakis, Konstantina Spanaki, and Rameshwar Dubey, “A Cloud-based Supply Chain Management System: Effects on Supply Chain Responsiveness,” Journal of Enterprise Information Management, vol. 32, no. 4, pp. 585-607, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[25] “Accenture Supply Chain Management in the Cloud,” White Paper, 2014.
[Publisher Link]
[26] Manideep Yenugula, Sushil Kumar Sahoo, and Shankha Shubhra Goswami, “Cloud Computing in Supply Chain Management: Exploring the Relationship,” Management Science Letters, vol. 13, no. 3, pp. 193-210, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Poorya Farahani, Christoph Meier, and Joerg Wilke, “Digital Supply Chain Management 2020 Vision,” The Business Transformation Journal, vol. 13, no. 15, pp. 1-14, 2015.
[Google Scholar]
[28] Cara Clinton Vollmer, “Supply Chain Visibility (SCV): An Introduction,” Oracle-White Paper, 2023. [Online]. Available: https://www.oracle.com/in/scm/supply-chain-visibility/
[29] Sung-Chi Chu et al., “Visibility Cloud: A Supply Chain Perspective”, In Proceedings International Conference on Electronic Business (Iceb), Hong Kong, SAR China, pp. 507-515, 2015.
[Google Scholar] [Publisher Link]
[30] Aleksandre Asatiani, “Why Cloud? - A Review of Cloud Adoption Determinants in Organizations,” AIS eLibrary, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Vilde Christiansen, Moutaz Haddara, and Marius Langseth, “Factors Affecting Cloud ERP Adoption Decisions in Organizations,” Procedia Computer Science, vol. 196, pp. 255-262, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[32] O. Akinrolabu, S. New, and A. Martin, “Cyber Supply Chain Risks in Cloud Computing - Bridging the Risk Assessment Gap”, Open Journal of Cloud Computing (OJCC), vol. 5, no. 1, pp. 1-19, 2017.
[Google Scholar] [Publisher Link]
[33] Dimitrios Zissis, and Dimitrios Lekkas, “Addressing Cloud Computing Security Issues,” Future Generation Computer Systems, vol. 28, no. 3, pp. 583-592, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Yousef K. Sinjilawi, Mohammad Q. AL-Nabhan, and Emad A. Abu-Shanab, “Addressing Security and Privacy Issues in Cloud Computing,” Journal of Emerging Technologies in Web Intelligence, vol. 6, no. 6, pp. 192-199, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[35] APPSeCONNECT, “8 Cloud Integration Challenges and How to Overcome Them,” APPSeCONNECT, 2023. [Online]. Available: https://www.appseconnect.com/8-cloud-integration-challenges-and-overcoming-them/
[36] Justice Opara-Martins, Reza Sahandi, and Feng Tian, “Critical Analysis of Vendor Lock-In and Its Impact on Cloud Computing Migration: A Business Perspective,” Journal of Cloud Computing, vol. 5, no. 1, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Anne-Claire Bellec, “What Is Cloud-Based Data Governance and Why Is It Crucial For Companies?,” Opendatasoft, 2024. [Online]. Available: https://www.opendatasoft.com/en/blog/what-is-cloud-based-data-governance-and-why-is-it-crucial-for-companies/
[38] Vivek Shukla, “Key Steps for a Seamless Cloud-Based Supply Chain Management Implementation,” Appfoster, 2023. [Online]. Available: https://medium.com/appfoster/key-steps-for-a-seamless-cloud-based-supply-chain-management-implementation-7c1167d6cc7e
[39] Accenture, Digital Transformation in a Nutshell, Case Study, 2021. [Online]. Available: https://www.accenture.com/us-en/case-studies/technology/blue-diamond-digital-transformation
[40] Irene Muniz Ruiz, “The Zara Phenomenon: due to Cloud Computing,” Stanford Management Science and Engineering 238 Blog, 2017. [Online]. Available: https://mse238blog.stanford.edu/2017/07/imunizr/the-zara-phenomenon-due-to-cloud-computing/
[41] Oracle, “GE Power adopts a modern supply chain strategy with Oracle Cloud SCM,” 2022. [Online]. Available: https://www.oracle.com/in/customers/ge-power/
[42] SCM, “Lululemon makes inventory data available in the cloud,” Supply Chain Movement, 2023. [Online]. Available: https://www.supplychainmovement.com/lululemon-makes-inventory-data-available-in-the-cloud/#:~:text=With%20the%20help%20of%20RFID,availability%20using%20Nedap%20iD%20Cloud.
[43] Zaynab Musa and K. Vidyasankar, “A Fog Computing Framework for Blackberry Supply Chain Management,” Procedia Computer Science, vol. 113, pp. 178-185, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Shanhe Yi, Cheng Li, and Qun Li, “A Survey of Fog Computing: Concepts, Applications and Issues,” In Proceedings of the 2015 Workshop on Mobile Big Data, pp. 37-42, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[45] Melisa Akkaya, Cloud Technology and Fog Computing in Supply Chain Management, Implementation of Disruptive Technologies in Supply Chain Management, pp. 51-72, 2023.
[Google Scholar] [Publisher Link]
[46] IBM, “Smarter supply chains for an unpredictable world,” IBM Expert Insights, 2020. [Online]. Available: https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/smarter-supply-chains
[47] Sandhya Makkar, G. Naga Rama Devi, and Vijender Kumar Solanki, “Applications of Machine Learning Techniques in Supply Chain Optimization,” In Proceedings ICICCT 2019-System Reliability, Quality Control, Safety, Maintenance and Management: Applications to Electrical, Electronics and Computer Science and Engineering, Springer Singapore, pp. 861-869, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Abeer Aljohani, “Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility,” Sustainability, vol. 15, no. 20, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Tarun Roy et al., “Redesigning Traditional Linear Supply Chains into Circular Supply Chains-A Study into Its Challenges,” Sustainable Production and Consumption, vol. 31, pp. 113-126, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Adrian Reisch, “The future of supply chains will be shaped by cloud-enabled ecosystems,” Blog, 2021. [Online]. Available: https://www.aioneers.com/blog/the-future-of-supply-chains-will-be-shaped-by-cloud-enabled-ecosystems