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The human factor in supply chain forecasting: A systematic review

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Cited by:

  1. Koen W. de Bock & Kristof Coussement & Arno De Caigny & Roman Slowiński & Bart Baesens & Robert N Boute & Tsan-Ming Choi & Dursun Delen & Mathias Kraus & Stefan Lessmann & Sebastián Maldonado & David , 2023. "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda," Post-Print hal-04219546, HAL.
  2. Hareer Fatima Ahmed & Amin Hosseinian-Far & Rasoul Khandan & Dilshad Sarwar & Khushboo E-Fatima, 2022. "Knowledge Sharing in the Supply Chain Networks: A Perspective of Supply Chain Complexity Drivers," Logistics, MDPI, vol. 6(3), pages 1-20, September.
  3. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain," Operations Management Research, Springer, vol. 16(3), pages 1562-1576, September.
  4. Katsagounos, Ilias & Thomakos, Dimitrios D. & Litsiou, Konstantia & Nikolopoulos, Konstantinos, 2021. "Superforecasting reality check: Evidence from a small pool of experts and expedited identification," European Journal of Operational Research, Elsevier, vol. 289(1), pages 107-117.
  5. Yang, Y. & Lin, J. & Liu, G. & Zhou, L., 2021. "The behavioural causes of bullwhip effect in supply chains: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 236(C).
  6. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  7. Zhang, Bohan & Kang, Yanfei & Panagiotelis, Anastasios & Li, Feng, 2023. "Optimal reconciliation with immutable forecasts," European Journal of Operational Research, Elsevier, vol. 308(2), pages 650-660.
  8. Thi Thuy Hanh Nguyen & Abdelghani Bekrar & Thi Muoi Le & Mourad Abed & Anirut Kantasa‐ard, 2025. "Toward a smart forecasting model in supply chain management: A case study of coffee in Vietnam," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 173-199, January.
  9. Konstantinos Liagkouras & Konstantinos Metaxiotis, 2023. "Sources of Uncertainty and Risk Quantification Methods in Supply Chain Management: A Literature Study," SN Operations Research Forum, Springer, vol. 4(4), pages 1-42, December.
  10. Rajaguru, Rajesh & Matanda, Margaret Jekanyika & Verma, Prikshat, 2023. "Information system integration, forecast information quality and market responsiveness: Role of socio-technical congruence," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
  11. Hewage, Harsha Chamara & Perera, H. Niles & De Baets, Shari, 2022. "Forecast adjustments during post-promotional periods," European Journal of Operational Research, Elsevier, vol. 300(2), pages 461-472.
  12. De Baets, Shari & Harvey, Nigel, 2020. "Using judgment to select and adjust forecasts from statistical models," European Journal of Operational Research, Elsevier, vol. 284(3), pages 882-895.
  13. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
  14. Sroginis, Anna & Fildes, Robert & Kourentzes, Nikolaos, 2023. "Use of contextual and model-based information in adjusting promotional forecasts," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1177-1191.
  15. Angelopoulos, Spyros & Bendoly, Elliot & Fransoo, Jan C. & Hoberg, Kai & Ou, Carol & Tenhiälä, Antti, 2023. "Digital transformation in operations management: Fundamental change through agency reversal," Other publications TiSEM 373742f5-0b87-4276-9ed6-8, Tilburg University, School of Economics and Management.
  16. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
  17. Maciej Wolny & Mariusz Kmiecik, 2024. "Unveiling Patterns in Forecasting Errors: A Case Study of 3PL Logistics in Pharmaceutical and Appliance Sectors," Sustainability, MDPI, vol. 17(1), pages 1-23, December.
  18. Marty, Justine & Ruel, Salomée, 2024. "Why is “supply chain collaboration” still a hot topic? A review of decades of research and a comprehensive framework proposal," International Journal of Production Economics, Elsevier, vol. 273(C).
  19. Perera, H. Niles & Fahimnia, Behnam, 2024. "Multi-period ordering decisions in the presence of retail promotions," European Journal of Operational Research, Elsevier, vol. 319(3), pages 763-776.
  20. Buddhi A. Weerasinghe & H. Niles Perera & Xiwen Bai, 2024. "Optimizing container terminal operations: a systematic review of operations research applications," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 307-341, June.
  21. Khosrowabadi, Naghmeh & Hoberg, Kai & Imdahl, Christina, 2022. "Evaluating human behaviour in response to AI recommendations for judgemental forecasting," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1151-1167.
  22. Christiane B. Haubitz & Cedric A. Lehmann & Andreas Fügener & Ulrich W. Thonemann, 2021. "The Risk of Algorithm Transparency: How Algorithm Complexity Drives the Effects on Use of Advice," ECONtribute Discussion Papers Series 078, University of Bonn and University of Cologne, Germany.
  23. Cedric A. Lehmann & Christiane B. Haubitz & Andreas Fügener & Ulrich W. Thonemann, 2022. "The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3419-3434, September.
  24. Nikolopoulos, Konstantinos, 2021. "We need to talk about intermittent demand forecasting," European Journal of Operational Research, Elsevier, vol. 291(2), pages 549-559.
  25. Sina Mohri, Seyed & Ghaderi, Hadi & Van Woensel, Tom & Mohammadi, Mehrdad & Nassir, Neema & Thompson, Russell G., 2024. "Contextualizing alternative delivery points in last mile delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  26. Nimni Pannila & Madushan Madhava Jayalath & Amila Thibbotuwawa & Izabela Nielsen & T.G.G. Uthpala, 2022. "Challenges in Applying Circular Economy Concepts to Food Supply Chains," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
  27. Jan A. Kempkes & Francesco Suprano & Andreas Wömpener, 2024. "How management support systems affect job performance: a systematic literature review and research agenda," Management Review Quarterly, Springer, vol. 74(4), pages 2013-2086, December.
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