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Supply chain analytics

Citations

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Cited by:

  1. Gang Wang & Angappa Gunasekaran & Eric W. T. Ngai, 2018. "Distribution network design with big data: model and analysis," Annals of Operations Research, Springer, vol. 270(1), pages 539-551, November.
  2. Leonardo de Assis Santos & Leonardo Marques, 2022. "Big data analytics for supply chain risk management: research opportunities at process crossroads," Post-Print hal-03766121, HAL.
  3. Ulrich Leicht-Deobald & Thorsten Busch & Christoph Schank & Antoinette Weibel & Simon Schafheitle & Isabelle Wildhaber & Gabriel Kasper, 2019. "The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity," Journal of Business Ethics, Springer, vol. 160(2), pages 377-392, December.
  4. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
  5. Tino T. Herden & Steffen Bunzel, 2018. "Archetypes of Supply Chain Analytics Initiatives—An Exploratory Study," Logistics, MDPI, vol. 2(2), pages 1-20, May.
  6. Tino T. Herden, 2020. "Explaining the competitive advantage generated from Analytics with the knowledge-based view: the example of Logistics and Supply Chain Management," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 163-214, April.
  7. Tino T. Herden & Benjamin Nitsche & Benno Gerlach, 2020. "Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations," Logistics, MDPI, vol. 4(1), pages 1-27, February.
  8. Ali, Abdul & Mancha, Ruben & Pachamanova, Dessislava, 2018. "Correcting analytics maturity myopia," Business Horizons, Elsevier, vol. 61(2), pages 211-219.
  9. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
  10. Niloofar Jahani & Arash Sepehri & Hadi Rezaei Vandchali & Erfan Babaee Tirkolaee, 2021. "Application of Industry 4.0 in the Procurement Processes of Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
  11. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
  12. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
  13. Shuai Zhang & Kai Huang & Yufei Yuan, 2021. "Spare Parts Inventory Management: A Literature Review," Sustainability, MDPI, vol. 13(5), pages 1-23, February.
  14. Tufano, Alessandro & Zuidwijk, Rob & Van Dalen, Jan, 2023. "The development of data-driven logistic platforms for barge transportation network under incomplete data," Omega, Elsevier, vol. 114(C).
  15. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
  16. Marian Pompiliu Cristescu & Dumitru Alexandru Mara & Raluca Andreea Nerișanu & Renate-Martina Polder, 2022. "How Hr Analytics Benefits Companies," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 83-92.
  17. Shafiq, Asad & Ahmed, Muhammad Usman & Mahmoodi, Farzad, 2020. "Impact of supply chain analytics and customer pressure for ethical conduct on socially responsible practices and performance: An exploratory study," International Journal of Production Economics, Elsevier, vol. 225(C).
  18. Indranil Biswas & Arnab Adhikari & Baidyanath Biswas, 2020. "Channel coordination of a risk-averse supply chain: a mean–variance approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(4), pages 415-429, December.
  19. Marcelo Werneck Barbosa & Marcelo Bronzo Ladeira & Alberto Calle Vicente, 2017. "An analysis of international coauthorship networks in the supply chain analytics research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1703-1731, June.
  20. Elena PUICA, 2021. "A Classification Predictive Model to Analyze the Supply Chain Strategies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(2), pages 29-39.
  21. Maestrini, Vieri & Luzzini, Davide & Caniato, Federico & Ronchi, Stefano, 2018. "Effects of monitoring and incentives on supplier performance: An agency theory perspective," International Journal of Production Economics, Elsevier, vol. 203(C), pages 322-332.
  22. Spreitzenbarth, Jan & Stuckenschmidt, Heiner & Bode, Christoph, 2021. "The state of artificial intelligence: Procurement versus sales and marketing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 223-243, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  23. Andrea Ko & Saira Gillani, 2020. "A Research Review and Taxonomy Development for Decision Support and Business Analytics Using Semantic Text Mining," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 97-126, January.
  24. Pham, Xuan & Stack, Martin, 2018. "How data analytics is transforming agriculture," Business Horizons, Elsevier, vol. 61(1), pages 125-133.
  25. Kalaitzi, Dimitra & Tsolakis, Naoum, 2022. "Supply chain analytics adoption: Determinants and impacts on organisational performance and competitive advantage," International Journal of Production Economics, Elsevier, vol. 248(C).
  26. Venkatesh Mani & Catarina Delgado & Benjamin T. Hazen & Purvishkumar Patel, 2017. "Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-21, April.
  27. McIver, Derrick & Lengnick-Hall, Mark L. & Lengnick-Hall, Cynthia A., 2018. "A strategic approach to workforce analytics: Integrating science and agility," Business Horizons, Elsevier, vol. 61(3), pages 397-407.
  28. Vicky Ching Gu & Bin Zhou & Qing Cao & Jeffery Adams, 2021. "Exploring the relationship between supplier development, big data analytics capability, and firm performance," Annals of Operations Research, Springer, vol. 302(1), pages 151-172, July.
  29. Kormann, Benjamin & Altendorfer-Kaiser, Susanne, 2017. "Influence of patterns and data-analytics on production logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 233-254, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
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