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Back in business: operations research in support of big data analytics for operations and supply chain management

Citations

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Cited by:

  1. Ashrafi, Amir & Zareravasan, Ahad, 2022. "An ambidextrous approach on the business analytics-competitive advantage relationship: Exploring the moderating role of business analytics strategy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  2. S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.
  3. Yining Wang & Yi Wu & Simon S. Du, 2021. "Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1339-1353, October.
  4. Andrew Manikas & Michael Godfrey & Jason Woldt, 2022. "What Drives Higher Beer Ratings? Evidence From Big Data," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 15(1), pages 1-13.
  5. Samuel Fosso Wamba & Maciel M. Queiroz & Lunwen Wu & Uthayasankar Sivarajah, 2024. "Big data analytics-enabled sensing capability and organizational outcomes: assessing the mediating effects of business analytics culture," Annals of Operations Research, Springer, vol. 333(2), pages 559-578, February.
  6. Terrance Jalbert & Jonathan D. Stewart, 2022. "A Comprehensive Retirement Financial Planning Tool," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 15(1), pages 47-76.
  7. Yngve Dahle & Kevin Reuther & Martin Steinert & Magne Supphellen, 2023. "Towards a systemic entrepreneurship activity model," International Entrepreneurship and Management Journal, Springer, vol. 19(4), pages 1583-1610, December.
  8. Pan, Qiaohong & Luo, Wenping & Fu, Yi, 2022. "A csQCA study of value creation in logistics collaboration by big data: A perspective from companies in China," Technology in Society, Elsevier, vol. 71(C).
  9. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
  10. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Manoj Dora & Balkrishna E. Narkhede, 2023. "Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains," Annals of Operations Research, Springer, vol. 327(1), pages 339-374, August.
  11. Zhitao Xu & Adel Elomri & Roberto Baldacci & Laoucine Kerbache & Zhenyong Wu, 2024. "Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective," Annals of Operations Research, Springer, vol. 338(2), pages 1359-1401, July.
  12. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2024. "Data analytics diffusion in the UK renewable energy sector: an innovation perspective," Annals of Operations Research, Springer, vol. 333(2), pages 717-742, February.
  13. Efpraxia D. Zamani & Conn Smyth & Samrat Gupta & Denis Dennehy, 2023. "Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review," Annals of Operations Research, Springer, vol. 327(2), pages 605-632, August.
  14. H. Kava & K. Spanaki & T. Papadopoulos & S. Despoudi & O. Rodriguez Espindola & M. Fakhimi, 2024. "Data analytics diffusion in the UK renewable energy sector: an innovation perspective," Post-Print hal-04478933, HAL.
  15. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
  16. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
  17. Aijun Liu & Senhao Luo & Jian Mou & Hongwei Qiu, 2023. "The antagonism and cohesion of the upstream supply chain under information asymmetry," Annals of Operations Research, Springer, vol. 329(1), pages 527-572, October.
  18. P. R. C. Gopal & Nripendra P. Rana & Thota Vamsi Krishna & M. Ramkumar, 2024. "Impact of big data analytics on supply chain performance: an analysis of influencing factors," Annals of Operations Research, Springer, vol. 333(2), pages 769-797, February.
  19. Sai-Ho Chung & Stein W. Wallace & Xin Wen, 2025. "Data driven operational risk management," Annals of Operations Research, Springer, vol. 348(2), pages 777-781, May.
  20. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
  21. Junwu Chai & Zhifeng Qian & Feng Wang & Jing Zhu, 2024. "Process innovation for green product in a closed loop supply chain with remanufacturing," Annals of Operations Research, Springer, vol. 333(2), pages 533-557, February.
  22. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, February.
  23. Olga Menukhin & Catherine Mandungu & Azar Shahgholian & Nikolay Mehandjiev, 2025. "Guiding the integration of analytics in business operations through a maturity framework," Annals of Operations Research, Springer, vol. 348(3), pages 2017-2047, May.
  24. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
  25. Guojun Ji & Muhong Yu & Kim Hua Tan & Ajay Kumar & Shivam Gupta, 2024. "Decision optimization in cooperation innovation: the impact of big data analytics capability and cooperative modes," Annals of Operations Research, Springer, vol. 333(2), pages 871-894, February.
  26. Kayabay, Kerem & Gökalp, Mert Onuralp & Gökalp, Ebru & Erhan Eren, P. & Koçyiğit, Altan, 2022. "Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  27. Awan, Usama & Shamim, Saqib & Khan, Zaheer & Zia, Najam Ul & Shariq, Syed Muhammad & Khan, Muhammad Naveed, 2021. "Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
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