Proceedings of International Conference on Applied Innovation in IT  ·  2026/03/31  ·  Vol. 14  ·  Issue 1  ·  pp. 1677–1685
A Maturity Framework for Digital Supply Chains in Industry 4.0: A Systematic Literature Review
Yousif A. Al-Taie and Maha K. Jawad
📄 Download PDF DOI: 10.25673/123792
Abstract
The Digital Supply Chain (DSC) has emerged as a key concept within the Industry 4.0 paradigm, attracting increasing attention from both academia and industry. However, existing studies lack a comprehensive framework for assessing DSC maturity. This study addresses this gap by developing a conceptual maturity framework based on a systematic literature review (SLR). A structured screening process was applied to identify and analyze relevant studies, resulting in a set of core constructs that define DSC maturity. The findings reveal four key dimensions: leadership and managerial support, emerging technologies, process performance requirements, and strategic outcomes. These dimensions collectively provide an integrated perspective on the evolution and assessment of digital supply chains. The proposed framework contributes to the literature by offering a structured approach for evaluating DSC maturity and supports practitioners in guiding digital transformation initiatives. Future research should focus on empirical validation and refinement of the model across different industrial contexts.
Keywords
Digital Supply Chain Supply Chain 4.0 Industry 4.0 Maturity Model.
References
  1. S. Schrauf and P. Berttram, “How digitization makes the supply chain more efficient, agile, and customer focused,” Price Waterhouse Cooper, 2018.
  2. S. Demir, M. Gündüz, and T. Paksoy, “A new evaluation model for the readiness and maturity level of intelligent and sustainable supply chain management based on geometric mean,” Journal of Transportation and Logistic, vol. 7, no. 1, pp. 95-115, 2022, [Online]. Available: https://doi.org/10.26650/JTL.2022.1023071.
  3. J. Flynn, S. Dance, and D. Schaefer, “Industry 4.0 and its potential impact on employment demographics in the UK,” vol. 6, pp. 239-244, 2017, [Online]. Available: https://doi.org/10.3233/978-1-61499-792-4-239.
  4. M. K. J. Hamed Yasser Amer, “Inventory analysis using the ABC-VED matrix: Applied research in Al-Zawraa State Company,” International Journal of Professional Business Review, 2023, [Online]. Available: https://doi.org/10.26668/businessreview/2023.v8i5.1508.
  5. G. Büyüközkan and F. Göçer, “Digital supply chain: Literature review and a proposed framework for future research,” vol. 97, pp. 157-177, 2018, [Online]. Available: https://doi.org/10.1016/j.compind.2018.02.010.
  6. H. A. Al-Iessa, “Attack detection and analysis with deep learning in cloud computing,” Al-Turath Journal of Cyber Security, vol. 1, no. 1, pp. 6-20, 2024.
  7. F. Al-Halboosi, S. Mawlood, and I. Al-Halboosi, “Role of ERP systems in improving human resources management processes,” vol. 11, no. 4, pp. 1667-1681, 2021, [Online]. Available: https://doi.org/10.48047/rigeo.11.04.155.
  8. B. Tjahjono, C. Esplugues, E. Ares, and G. J. P. M. Pelaez, “What does Industry 4.0 mean to supply chain?” vol. 13, pp. 1175-1182, 2017, [Online]. Available: https://doi.org/10.1016/j.promfg.2017.09.191.
  9. F. Alamsjah and E. Yunus, “Achieving supply chain 4.0 and the importance of agility, ambidexterity, and organizational culture: A case of Indonesia,” vol. 8, no. 2, p. 83, 2022, [Online]. Available: https://doi.org/10.3390/joitmc8020083.
  10. J. B. Hauge et al., “Digital twin testbed and practical applications in production logistics with real-time location data,” vol. 12, no. 2, pp. 129-140, 2021, [Online]. Available: https://doi.org/10.24867/IJIEM-2021-2-282.
  11. B. Kadhim and M. Jawad, “Suppliers selection using fuzzy technique for order preferences by similarity to ideal solution method (FTOPSIS): A case study at Ur General Company in Dhi Qar,” vol. 72, no. 4, pp. 37-48, 2023.
  12. D. Makris, Z. N. L. Hansen, and O. Khan, “Adapting to supply chain 4.0: An explorative study of multinational companies,” in Supply Chain Forum: An International Journal, vol. 20, no. 2, pp. 116-131, 2019, [Online]. Available: https://doi.org/10.1080/16258312.2019.1577114.
  13. M. Ferrantino and E. Koten, “Understanding supply chain 4.0 and its potential impact on global value chains,” pp. 103-119, 2019.
  14. K. Alicke, D. Rexhausen, and A. Seyfert, “Supply chain 4.0 in consumer goods,” vol. 1, no. 11, 2017.
  15. D. Swanson, “The impact of digitization on product offerings: Using direct digital manufacturing in the supply chain,” 2017, [Online]. Available: http://hdl.handle.net/10125/41668.
  16. P.-E. J. P. M. Dossou, “Impact of sustainability on the supply chain 4.0 performance,” vol. 17, pp. 452-459, 2018, [Online]. Available: https://doi.org/10.1016/j.promfg.2018.10.069.
  17. S. P. Gayialis, E. P. Kechagias, G. D. Konstantakopoulos, G. A. Papadopoulos, and I. P. Tatsiopoulos, “An approach for creating a blockchain platform for labeling and tracing wines and spirits,” in Advances in Production Management Systems, pp. 81-89, Springer, 2021, [Online]. Available: https://doi.org/10.1007/978-3-030-85910-7_9.
  18. L. LaBerge, C. O’Toole, J. Schneider, and K. J. M. Smaje, “How COVID-19 has pushed companies over the technology tipping point—and transformed business forever,” vol. 5, 2020.
  19. S. R. Ahmed et al., “Optimal elevators control for buildings based on associative memory,” in 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS), pp. 1-8, Dec. 2024, [Online]. Available: https://doi.org/10.1109/isas64331.2024.10845288.
  20. A. G. M. Al-Daffaie et al., “IoT-enabled sensors and AI for real-time monitoring of fluid systems,” in 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS), pp. 1-6, Dec. 2024, [Online]. Available: https://doi.org/10.1109/isas64331.2024.10845294.
  21. R. I. Kadhim et al., “Multimodal deep learning for video classification,” in 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS), pp. 1-8, Dec. 2024, [Online]. Available: https://doi.org/10.1109/isas64331.2024.10845289.
  22. J. Zhang, H. Li, and S. Wang, “Analysis and potential application of the maturity of growth management in the developing construction industry of a province of China: A case study,” vol. 9, no. 1, p. 143, 2017, [Online]. Available: https://doi.org/10.3390/su9010143.
  23. K. Faris and S. Mawlood, “Evaluating of improvement level in some of Diyala Governorate departments according to the eighth requirement of standard (ISO10006:2017),” vol. 30, no. 139, pp. 70-86, 2024, [Online]. Available: https://doi.org/10.33095/vbx07083.
  24. R. Santos and J. Martinho, “An Industry 4.0 maturity model proposal,” vol. 31, no. 5, pp. 1023-1043, 2020, [Online]. Available: https://doi.org/10.1108/JMTM-09-2018-0284.
  25. A. Abdulhameed, S. Al-Kubaisy, and A. Sciences, “The effect of knowledge upgrading on business continuity: A field research in private colleges and universities in Baghdad,” vol. 29, no. 136, pp. 1-15, 2023, [Online]. Available: https://doi.org/10.33095/jeas.v29i136.2601.
  26. G. Lahrmann, F. Marx, R. Winter, and F. Wortmann, “Business intelligence maturity: Development and evaluation of a theoretical model,” in 2011 44th Hawaii International Conference on System Sciences, pp. 1-10, IEEE, 2011, [Online]. Available: https://doi.org/10.1109/HICSS.2011.90.
  27. P. O’Donovan, K. Bruton, and D. T. O’Sullivan, “IAMM: A maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilities,” 2016, [Online]. Available: https://hdl.handle.net/10468/5396.
  28. A. Jawad and E. Al-Rabia’i, “The role of product innovation on an improvement of the organization’s reputation: A field study in State Organization for Marketing of Oil (SOMO),” vol. 27, no. 129, pp. 1-22, 2021.
  29. K. Lichtblau et al., “Industry 4.0-readiness,” 2015, [Online]. Available: https://doi.org/10.1016/j.compind.2019.103125.
  30. A. De Carolis, M. Macchi, E. Negri, and S. Terzi, “Guiding manufacturing companies towards digitalization: A methodology for supporting manufacturing companies in defining their digitalization roadmap,” in 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pp. 487-495, IEEE, 2017, [Online]. Available: https://doi.org/10.1109/ICE.2017.8279925.
  31. Z. Rajnai and I. Kocsis, “Assessing Industry 4.0 readiness of enterprises,” in 2018 IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 225-230, IEEE, 2018, [Online]. Available: https://doi.org/10.1109/SAMI.2018.8324844.
  32. J. Basl and P. Doucek, “A metamodel for evaluating enterprise readiness in the context of Industry 4.0,” vol. 10, no. 3, p. 89, 2019, [Online]. Available: https://doi.org/10.3390/info10030089.
  33. D. Tranfield, D. Denyer, and P. Smart, “Towards a methodology for developing evidence-informed management knowledge by means of systematic review,” vol. 14, no. 3, pp. 207-222, 2003, [Online]. Available: https://doi.org/10.1111/1467-8551.00375.
  34. B. Asdecker and M. Felch, “Development of an Industry 4.0 maturity model for the delivery process in supply chains,” vol. 13, no. 4, pp. 840-883, 2018, [Online]. Available: https://doi.org/10.1108/JM2-03-2018-0042.
  35. J. Oleśków-Szłapka and A. Stachowiak, “The framework of logistics 4.0 maturity model,” in Intelligent Systems in Production Engineering and Maintenance, pp. 771-781, Springer, 2019, [Online]. Available: https://doi.org/10.1007/978-3-319-97490-3_73.
  36. M. Ronaghi, “A blockchain maturity model in agricultural supply chain,” vol. 8, no. 3, pp. 398-408, 2021, [Online]. Available: https://doi.org/10.1016/j.inpa.2020.10.004.
  37. R. Caiado, L. Scavarda, L. Gavião, P. Ivson, D. Nascimento, and J. Garza-Reyes, “A fuzzy rule-based Industry 4.0 maturity model for operations and supply chain management,” vol. 231, p. 107883, 2021, [Online]. Available: https://doi.org/10.1016/j.ijpe.2020.107883.
  38. L. Vasconcellos, P. Junior, and F. Rodrigues, “An Industry 4.0 maturity model applied to the automotive supply chain,” vol. 21, no. 4, pp. 255-268, 2021, [Online]. Available: http://www.scielo.org.co/revistas/abc/iaboutj.htm.
  39. K. Buntak, M. Kovačić, and M. Mutavdžija, “Measuring digital transformation maturity of supply chain,” vol. 15, no. 2, pp. 199-204, 2021, [Online]. Available: https://doi.org/10.31803/tg-20200414191933.
  40. W. S. K. Weerabahu, P. Samaranayake, D. Nakandala, and H. J. B. A. I. Hurriyet, “Digital supply chain research trends: A systematic review and a maturity model for adoption,” vol. 30, no. 9, pp. 3040-3066, 2023, [Online]. Available: https://doi.org/10.1108/BIJ-12-2021-0782.
  41. F. Hellweg, D. Janhofer, and B. Hellingrath, “Towards a maturity model for digital supply chains,” vol. 16, no. 1, 2023, [Online]. Available: https://doi.org/10.23773/2023_5.
  42. S. Demir, M. Gunduz, Y. Kayikci, and T. Paksoy, “Readiness and maturity of smart and sustainable supply chains: A model proposal,” vol. 35, no. 2, pp. 181-206, 2023, [Online]. Available: https://doi.org/10.1080/10429247.2022.2050129.
  43. S. Ferraro, L. Leoni, A. Cantini, and F. De Carlo, “Trends and recommendations for enhancing maturity models in supply chain management and logistics,” vol. 13, no. 17, p. 9724, 2023, [Online]. Available: https://doi.org/10.3390/app13179724.
  44. S. Tiss and M. Orellano, “A maturity model of digital transformation in supply chains: A multi-dimensional approach,” in 2023 27th International Conference on Information Technology (IT), pp. 1-7, 2023, [Online]. Available: https://doi.org/10.1109/IT57431.2023.10078510.

Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0  ·  This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

ICAIIT 2026
International Conference on Applied Innovation in IT
Navigation
Publisher
ISSN2199-8876
Publisher Edition Hochschule Anhalt
Location Anhalt University of Applied Sciences
Email leiterin.hsb@hs-anhalt.de
Phone +49 (0) 3496 67 5611
Address Building 01, Room 425
Bernburger Str. 55
D-06366 Köthen, Germany
Open Access License
CC BY-SA 4.0

All works are licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), unless otherwise noted.

Published by ICAIIT in cooperation with Anhalt University of Applied Sciences.

© 2026 ICAIIT — International Conference on Applied Innovations in IT. Anhalt University of Applied Sciences, Köthen, Germany.
Visitors: site traffic counter