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Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action

Author

Listed:
  • Herbert Jodlbauer

    (Josef Ressel Centre for Data-Driven Business Model Innovation, Production and Operations Management, University of Applied Sciences Upper Austria, 4400 Steyr, Austria)

  • Manuel Brunner

    (Production and Operations Management, University of Applied Sciences Upper Austria, 4400 Steyr, Austria)

  • Nadine Bachmann

    (Josef Ressel Centre for Data-Driven Business Model Innovation, Production and Operations Management, University of Applied Sciences Upper Austria, 4400 Steyr, Austria)

  • Shailesh Tripathi

    (Production and Operations Management, University of Applied Sciences Upper Austria, 4400 Steyr, Austria)

  • Matthias Thürer

    (Factory Planning and Intralogistics, Chemnitz University of Technology, 09111 Chemnitz, Germany)

Abstract

Background: By examining the recent advancements in technology, particularly the transformation of material into digital flows and its impact on customer demands, the aim of this paper is to investigate supply chain management (SCM) by analyzing seven key constructs: uncertainty, perspective, topicality, coordination, flow, job to be done, and connection. These constructs were chosen since they reflect evolving SCM practices that motivate this study. Methods: We conducted a broad, structured narrative review to comprehensively address the extensive SCM literature. This approach allowed us to evaluate the current state of SCM research and offer recommendations for overcoming prevailing challenges. Results: Our findings reveal the significant impact of technological advancements on SCM operations, requiring companies to adapt and remain competitive. We envision future supply chains as dynamic networks of networks, necessitating the adoption of a value architecture concept that extends a firm’s business model to an ecosystem business model. Conclusions: Considering these changes, our study recommends exploiting uncertainty, adopting demand-driven systems, offering on-demand customized services and products, utilizing prescriptive analytics, prioritizing information flows and services, and embracing open systems with high interoperability. Summarizing these opportunities and challenges that arise with changes in SCM provides interesting venues for future research and valuable insights for practitioners.

Suggested Citation

  • Herbert Jodlbauer & Manuel Brunner & Nadine Bachmann & Shailesh Tripathi & Matthias Thürer, 2023. "Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action," Logistics, MDPI, vol. 7(4), pages 1-19, October.
  • Handle: RePEc:gam:jlogis:v:7:y:2023:i:4:p:70-:d:1253233
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    References listed on IDEAS

    as
    1. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    2. Hernández-Chea, Roberto & Mahdad, Maral & Minh, Thai Thi & Hjortsø, Carsten Nico, 2021. "Moving beyond intermediation: How intermediary organizations shape collaboration dynamics in entrepreneurial ecosystems," Technovation, Elsevier, vol. 108(C).
    3. Jodlbauer, H., 2008. "Customer driven production planning," International Journal of Production Economics, Elsevier, vol. 111(2), pages 793-801, February.
    4. Wiengarten, Frank & Humphreys, Paul & Gimenez, Cristina & McIvor, Ronan, 2016. "Risk, risk management practices, and the success of supply chain integration," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 361-370.
    5. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    6. Nadine Bachmann & Shailesh Tripathi & Manuel Brunner & Herbert Jodlbauer, 2022. "The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals," Sustainability, MDPI, vol. 14(5), pages 1-33, February.
    7. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
    8. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    9. Peter Verhoeven & Florian Sinn & Tino T. Herden, 2018. "Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology," Logistics, MDPI, vol. 2(3), pages 1-19, September.
    10. Carbonneau, Real & Laframboise, Kevin & Vahidov, Rustam, 2008. "Application of machine learning techniques for supply chain demand forecasting," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1140-1154, February.
    11. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    12. Ben Naylor, J. & Naim, Mohamed M & Berry, Danny, 1999. "Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 107-118, May.
    13. Nathalie Fabbe-Costes & Marianne Jahre, 2008. "Supply Chain Integration and Performance - A Review of the Evidence," Post-Print hal-01419288, HAL.
    14. Jay W. Forrester, 1968. "Industrial Dynamics--A Response to Ansoff and Slevin," Management Science, INFORMS, vol. 14(9), pages 601-618, May.
    15. Muzammil Hussain & Waheed Javed & Owais Hakeem & Abdullah Yousafzai & Alisha Younas & Mazhar Javed Awan & Haitham Nobanee & Azlan Mohd Zain, 2021. "Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review," Sustainability, MDPI, vol. 13(24), pages 1-23, December.
    16. Shah, Syed Aamir Ali & Jajja, Muhammad Shakeel Sadiq & Chatha, Kamran Ali & Farooq, Sami, 2020. "Servitization and supply chain integration: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 229(C).
    17. Schiavone, Francesco & Leone, Daniele & Caporuscio, Andrea & Lan, Sai, 2022. "Digital servitization and new sustainable configurations of manufacturing systems," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    18. Hüttmeir, Andreas & de Treville, Suzanne & van Ackere, Ann & Monnier, Léonard & Prenninger, Johann, 2009. "Trading off between heijunka and just-in-sequence," International Journal of Production Economics, Elsevier, vol. 118(2), pages 501-507, April.
    19. Johannes Hangl & Viktoria Joy Behrens & Simon Krause, 2022. "Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study," Logistics, MDPI, vol. 6(3), pages 1-22, September.
    20. Kannan, Vijay R. & Tan, Keah Choon, 2005. "Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance," Omega, Elsevier, vol. 33(2), pages 153-162, April.
    21. Muhammad Hamza Naseem & Jiaqi Yang & Tongxia Zhang & Waseem Alam, 2023. "Utilizing Fuzzy AHP in the Evaluation of Barriers to Blockchain Implementation in Reverse Logistics," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    22. Paiola, Marco & Schiavone, Francesco & Grandinetti, Roberto & Chen, Junsong, 2021. "Digital servitization and sustainability through networking: Some evidences from IoT-based business models," Journal of Business Research, Elsevier, vol. 132(C), pages 507-516.
    23. Jodlbauer, Herbert & Tripathi, Shailesh & Brunner, Manuel & Bachmann, Nadine, 2022. "Stability of cross impact matrices," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    24. Victor Verboeket & Harold Krikke, 2019. "Additive Manufacturing: A Game Changer in Supply Chain Design," Logistics, MDPI, vol. 3(2), pages 1-27, April.
    25. Makridakis, Spyros & Hogarth, Robin M. & Gaba, Anil, 2009. "Forecasting and uncertainty in the economic and business world," International Journal of Forecasting, Elsevier, vol. 25(4), pages 794-812, October.
    26. Anne H. Gausdal & Karen V. Czachorowski & Marina Z. Solesvik, 2018. "Applying Blockchain Technology: Evidence from Norwegian Companies," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    27. Shaun West & Paolo Gaiardelli & Nicola Saccani, 2022. "Modern Industrial Services," Springer Texts in Business and Economics, Springer, edition 1, number 978-3-030-80511-1, August.
    28. Hong, Paul & Jagani, Sandeep & Kim, Jinhwan & Youn, Sun Hee, 2019. "Managing sustainability orientation: An empirical investigation of manufacturing firms," International Journal of Production Economics, Elsevier, vol. 211(C), pages 71-81.
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