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Prescriptive analytics: Literature review and research challenges

Citations

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Cited by:

  1. Gasparini, Gaia & Brunelli, Matteo & Chiriac, Marius Dan, 2022. "Multi-period portfolio decision analysis: A case study in the infrastructure management sector," Operations Research Perspectives, Elsevier, vol. 9(C).
  2. Sel, Burakhan & Minner, Stefan, 2022. "A hedging policy for seaborne forward freight markets based on probabilistic forecasts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
  3. Li, Wanqing & Yu, Jiang & Chen, Feng, 2025. "Linking firm performance with innovation culture: An algorithmic approach towards theory building," Journal of Business Research, Elsevier, vol. 187(C).
  4. Mahdi Jahangard & Ying Xie & Yuanjun Feng, 2025. "Leveraging machine learning and optimization models for enhanced seaport efficiency," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 27(4), pages 710-751, December.
  5. Md Al Amin & Roberto Baldacci & Vahid Kayvanfar, 2025. "A comprehensive review on operating room scheduling and optimization," Operational Research, Springer, vol. 25(1), pages 1-30, March.
  6. Tobias Bender, 2024. "Towards a process selection method for embedded analytics," Information Systems and e-Business Management, Springer, vol. 22(3), pages 501-525, September.
  7. Latinovic, Zoran & Chatterjee, Sharmila C., 2022. "Achieving the promise of AI and ML in delivering economic and relational customer value in B2B," Journal of Business Research, Elsevier, vol. 144(C), pages 966-974.
  8. Day, Min-Yuh & Ni, Yensen, 2023. "Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?," Energy, Elsevier, vol. 272(C).
  9. Yap, Wei Yim & Hsieh, Cheng-Hsien & Lee, Paul Tae-Woo, 2023. "Shipping connectivity data analytics: Implications for maritime policy," Transport Policy, Elsevier, vol. 132(C), pages 112-127.
  10. Nijat Mehdiyev & Maxim Majlatow & Peter Fettke, 2025. "Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective," Annals of Operations Research, Springer, vol. 347(2), pages 991-1030, April.
  11. Hayajneh, Jamal Abdelrahman .M. & Elayan, Malek Bakheet Haroun & Abdellatif, Mamdouh Abdallah Mohamed & Abubakar, A. Mohammed, 2022. "Impact of business analytics and π-shaped skills on innovative performance: Findings from PLS-SEM and fsQCA," Technology in Society, Elsevier, vol. 68(C).
  12. Charles, Vincent & Emrouznejad, Ali & Kunz, Werner H., 2025. "Advancements in Artificial Intelligence-based prescriptive and cognitive analytics for business performance: a special issue editorial," Journal of Business Research, Elsevier, vol. 200(C).
  13. Sariyer, Gorkem & Kumar Mangla, Sachin & Chowdhury, Soumyadeb & Erkan Sozen, Mert & Kazancoglu, Yigit, 2024. "Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies," Journal of Business Research, Elsevier, vol. 181(C).
  14. Divinus Oppong-Tawiah & Xerxes Minocher & Farzam Boroomand & Jane Webster, 2025. "Meaningful Work as an Ethical Approach: Shaping the Next Generation of Organizational Gamification," Information Systems Frontiers, Springer, vol. 27(3), pages 941-964, June.
  15. Aloini, Davide & Benevento, Elisabetta & Berdini, Marco & Stefanini, Alessandro, 2025. "Predicting radiology service times for enhancing emergency department management," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
  16. Filom, Siyavash & Amiri, Amir M. & Razavi, Saiedeh, 2022. "Applications of machine learning methods in port operations – A systematic literature review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  17. Christina C. Bartenschlager & Milena Grieger & Johanna Erber & Tobias Neidel & Stefan Borgmann & Jörg J. Vehreschild & Markus Steinbrecher & Siegbert Rieg & Melanie Stecher & Christine Dhillon & Maria, 2023. "Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways," Health Care Management Science, Springer, vol. 26(3), pages 412-429, September.
  18. Steffen Kurpiela & Frank Teuteberg, 2024. "Linking business analytics affordances to corporate strategic planning and decision making outcomes," Information Systems and e-Business Management, Springer, vol. 22(1), pages 33-60, March.
  19. Rajat Kumar Behera & Pradip Kumar Bala & Nripendra P. Rana & Hatice Kizgin, 2022. "A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 2027-2051, December.
  20. Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Ignatius, Joshua & Cheng, T.C.E. & Marra, Marianna & Guo, Yihan, 2024. "Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach," Journal of Business Research, Elsevier, vol. 184(C).
  21. Wang, Shuaian & Yan, Ran, 2023. "Fundamental challenge and solution methods in prescriptive analytics for freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
  22. Choi, Tsan-Ming & Sun, Xuting, 2025. "Prescriptive analytics for sustainable supply chain operations: The PASO framework for Industry 5.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
  23. Vinay Singh & Bhasker Choubey & Stephan Sauer, 2024. "Liquidity forecasting at corporate and subsidiary levels using machine learning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 31(3), September.
  24. Shadi, Mohammad Reza & Mirshekali, Hamid & Shaker, Hamid Reza, 2025. "Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
  25. Han, Shuihua & Chen, Linlin & Su, Zhaopei & Gupta, Shivam & Sivarajah, Uthayasankar, 2024. "Identifying a good business location using prescriptive analytics: Restaurant location recommendation based on spatial data mining," Journal of Business Research, Elsevier, vol. 179(C).
  26. Gursel, Ezgi & Madadi, Mahboubeh & Coble, Jamie Baalis & Agarwal, Vivek & Yadav, Vaibhav & Boring, Ronald L. & Khojandi, Anahita, 2025. "The role of AI in detecting and mitigating human errors in safety-critical industries: A review," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
  27. Christopher Wissuchek & Patrick Zschech, 2025. "Prescriptive analytics systems revised: a systematic literature review from an information systems perspective," Information Systems and e-Business Management, Springer, vol. 23(2), pages 279-353, June.
  28. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
  29. Akhtar, Pervaiz & Ghouri, Arsalan Mujahid & Ashraf, Aniqa & Lim, Jia Jia & Khan, Naveed R & Ma, Shuang, 2024. "Smart product platforming powered by AI and generative AI: Personalization for the circular economy," International Journal of Production Economics, Elsevier, vol. 273(C).
  30. Sven Bottesch & Chiara Schwenke & Maximilian Förster & Mathias Klier, 2025. "Driving business value through people analytics: Literature review and research agenda from an information systems perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-38, December.
  31. Friederike Paetz & Winfried J. Steiner & Harald Hruschka, 2022. "“Advanced data analysis techniques with marketing applications”," Journal of Business Economics, Springer, vol. 92(4), pages 557-561, May.
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