Conceptual Foundations and Digital Integration in Supply Chain Management: A Theoretical Review


Authors : Nehal Al-Sayed; Sayed Abdel Gaber; Engy Yehia

Volume/Issue : Volume 10 - 2025, Issue 6 - June


Google Scholar : https://tinyurl.com/ycyccvef

DOI : https://doi.org/10.38124/ijisrt/25jun1488

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Abstract : This paper offers a comprehensive conceptual review of modern supply chain management (SCM), placing emphasis on its theoretical progression and the integration of advanced digital technologies. The review encompasses the classical SCM cycle (planning, sourcing, manufacturing, delivery, returns), modern digital enablers (IoT, blockchain, ERP, big data analytics), strategic models (Lean, Agile, Responsive, JIT, VMI, Omni-channel), and human competencies essential for successful implementation. Through critical synthesis, the paper highlights how digitization enhances visibility, agility, and resilience, while also uncovering inherent challenges such as complexity and ethical concerns. The outcome is a robust knowledge foundation to inform future empirical studies and to guide the design of digitally-enabled, sustainable supply networks in diverse business contexts.

Keywords : Supply Chain Management (SCM); Digital Integration; IoT; Blockchain; Big Data Analytics; Strategic Models; Sustainability.

References :

  1. P. Christopher, Logistics & Supply Chain Management, 5th ed. London, UK: Pearson, 2016.
  2. M. Gunasekaran and E. W. T. Ngai, “Developments in supply chain management and logistics: from dynamics to sustainability and digitalisation,” Int. J. Prod. Econ., vol. 227, pp. 1–9, Feb. 2020.
  3. K. Hofmann and T. Rüsch, “Industry 4.0 and the current status as well as future prospects on logistics,” Computers Ind., vol. 89, pp. 23–34, 2017.
  4. M. R. Krämer and S. Bichler, Big Data in Logistics. Berlin, Germany: Springer, 2015.
  5. S. Chopra and P. Meindl, Supply Chain Management: Strategy, Planning, and Operation, 6th ed. Prentice Hall, 2016.
  6. R. Rao and D. Holt, “Do green supply chains lead to competitiveness and economic performance?” Int. J. Oper. Prod. Manage., vol. 25, no. 9, pp. 898–916, 2005.
  7. M. Taddeo and L. Floridi, “The ethics of data protection in supply networks,” Minds Mach., vol. 28, no. 4, pp. 645–662, 2018.
  8. P. Christopher, Logistics & Supply Chain Management, 5th ed. London, UK: Pearson, 2016.
  9. M. Gunasekaran and E. W. T. Ngai, “Developments in supply chain management and logistics: from dynamics to sustainability and digitalisation,” Int. J. Prod. Econ., vol. 227, pp. 1–9, Feb. 2020.
  10. S. Chopra and M. S. Sodhi, “Managing risk to avoid supply-chain breakdown,” MIT Sloan Mgmt. Rev., vol. 46, no. 1, pp. 53–61, 2004.
  11. K. Hofmann and T. Rüsch, “Industry 4.0 and the current status as well as future prospects on logistics,” Computers Ind., vol. 89, pp. 23–34, 2017.
  12. A. W. T. Rogers and D. P. Tibben-Lembke, Warehouse Management Handbook, 2nd ed. Boca Raton, FL, USA: CRC Press, 2001.
  13. M. R. Krämer and S. Bichler, Big Data in Logistics. Berlin, Germany: Springer, 2015.
  14. J. Monczka, R. Trent, and R. Handfield, Purchasing and Supply Chain Management, 6th ed. Cengage Learning, 2015.
  15. P. Murphy and A. Wood, Contemporary Logistics, 11th ed. Boston, MA, USA: Pearson, 2014.
  16. L. Womack and D. Jones, Lean Thinking: Banish Waste and Create Wealth in Your Corporation, 2nd ed. Free Press, 1996.
  17. D. Rushton, P. Croucher, and P. Baker, The Handbook of Logistics and Distribution Management, 5th ed. Kogan Page, 2010.
  18. S. Chopra and P. Meindl, Supply Chain Management: Strategy, Planning, and Operation, 6th ed. Prentice Hall, 2016.
  19. S. Chopra and P. Meindl, *Supply Chain Management: Strategy, Planning, and Operation*, 5th ed., Upper Saddle River, NJ, USA: Pearson, 2013.
  20. Y. Simchi-Levi, X. Chen, and J. Bramel, The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management, 2nd ed. Springer, 2015.
  21. D. Carter and D. Rogers, “A framework of sustainable supply chain management: moving toward new theory,” Int. J. Phys. Distrib. Logist. Manage., vol. 38, no. 5, pp. 360–387, 2008.
  22. S. Seuring and M. Müller, “From a literature review to a conceptual framework for sustainable supply chain management,” J. Clean. Prod., vol. 16, no. 15, pp. 1699–1710, 2008.
  23. R. M. Lambert and M. C. Cooper, Issues in Supply Chain Management. London, UK: Chapman & Hall, 2000.
  24. J. Jacobs and R. Chase, Operations and Supply Chain Management, 13th ed. McGraw-Hill, 2010.
  25. C. Cousins, K. Lawson, and W. Squire, “Performance measurement in strategic buyer–supplier relationships: The mediating role of socialization mechanisms,” Int. J. Oper. Prod. Manage., vol. 28, no. 3, pp. 238–258, 2008.
  26. A. Bourlakis and P. Weightman, Retail Logistics: Changes and Challenges. Springer, 2004.
  27. R. Rao and D. Holt, “Do green supply chains lead to competitiveness and economic performance?” Int. J. Oper. Prod. Manage., vol. 25, no. 9, pp. 898–916, 2005.
  28. M. Kannan and S. Tan, “Supply chain integration: A closed-loop data-driven perspective,” Int. J. Prod. Econ., vol. 164, pp. 353–365, 2015.
  29. C. Giunipero and J. Pearson, Supply Management for Competitive Advantage. Wiley, 1998.
  30. S. Chopra and P. Meindl, Strategy, Planning, and Operation, citated earlier.
  31. H. Bowersox and D. Cooper, Supply Chain Logistics Management, 3rd ed. McGraw-Hill, 2013.
  32. R. Brooks and A. Wang, “Cybersecurity risks in logistics and SCM,” IEEE Trans. Eng. Manage., vol. 68, no. 1, pp. 12–25, 2021.
  33. M. Taddeo and L. Floridi, “The ethics of data protection in supply networks,” Minds Mach., vol. 28, no. 4, pp. 645–662, 2018.
  34. Hofmann & Rüsch, “Industry 4.0 and logistics,” citated earlier.
  35. S. Ghosh, “Digital overdependence in SCM: vulnerabilities and redundancies,” J. Bus. Logist., vol. 41, no. 3, pp. 210–228, 2020.
  36. B. Mittelstadt et al., “The ethics of algorithms: Mapping the debate,” Big Data Soc., vol. 3, no. 2, 2016.

This paper offers a comprehensive conceptual review of modern supply chain management (SCM), placing emphasis on its theoretical progression and the integration of advanced digital technologies. The review encompasses the classical SCM cycle (planning, sourcing, manufacturing, delivery, returns), modern digital enablers (IoT, blockchain, ERP, big data analytics), strategic models (Lean, Agile, Responsive, JIT, VMI, Omni-channel), and human competencies essential for successful implementation. Through critical synthesis, the paper highlights how digitization enhances visibility, agility, and resilience, while also uncovering inherent challenges such as complexity and ethical concerns. The outcome is a robust knowledge foundation to inform future empirical studies and to guide the design of digitally-enabled, sustainable supply networks in diverse business contexts.

Keywords : Supply Chain Management (SCM); Digital Integration; IoT; Blockchain; Big Data Analytics; Strategic Models; Sustainability.

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Paper Submission Last Date
31 - July - 2025

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