Annals of Operations Research

1997 - 2025

Current editor(s): Endre Boros

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Volume 354, month 11, 2025

Artificial intelligence transparency and interpretability: implications for operations research pp. 1-4

Ali Emrouznejad and Soumyadeb Chowdhury

The role played by responsible artificial intelligence (RAI) in improving supply chain performance in the MSME sector: an empirical inquiry pp. 5-34

Abhishek Behl, Brinda Sampat, Vijay Pereira and Charbel José Chiappetta Jabbour

Human-artificial intelligence collaboration in supply chain outcomes: the mediating role of responsible artificial intelligence pp. 35-69

Emilia Vann Yaroson, Amélie Abadie and Mélanie Roux

Artificial intelligence and circular supply chains: framework for applications and deployment from the triple bottom line model perspective pp. 71-101

Rahul Meena, Saumyaranjan Sahoo, Ashish Malik, Satish Kumar and Mai Nguyen

Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics pp. 103-142

Sunil Kumar Jauhar, Susmitha Harinath, Venkataraghavan Krishnaswamy and Sanjoy Kumar Paul

A comprehensive blockchain-enabled supply chain network design: an iterative model versus an integrated model pp. 143-192

Ardavan Babaei, Majid Khedmati and Mohammad Reza Akbari Jokar

Enterprise architecture as a responsible data driven urban digitization framework: enabling circular cities in India pp. 193-221

Bhaskar Choudhuri, Praveen Ranjan Srivastava, Sachin Kumar Mangla and Yigit Kazancoglu

In the era of responsible artificial intelligence and digitalization: business group digitalization, operations and subsidiary performance pp. 223-245

Wei Sun, Shuang Ren and Guiyao Tang

Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study pp. 247-271

Victor Chang, Qianwen Ariel Xu, Shola Habib Akinloye, Vladlena Benson and Karl Hall

An explainable SSA-CatBoost machine learning model and application in corporate credit rating: evidence from China pp. 273-307

Ruicheng Yang, Pucong Wang, Li Li and Sheng Yong

Extending application of explainable artificial intelligence for managers in financial organizations pp. 309-339

Renu Sabharwal, Shah J. Miah, Samuel Fosso Wamba and Peter Cook

Investor sentiment and the NFT market: prediction and interpretation of daily NFT sales volume pp. 341-365

Tamara Teplova, Aleksei Kurkin and Valeriia Baklanova

Explainable text-based features in predictive models of crowdfunding campaigns pp. 367-397

Viktor Pekar, Marina Candi, Ahmad Beltagui, Nikolaos Stylos and Wei Liu

Responsible artificial intelligence for measuring efficiency: a neural production specification pp. 399-425

Konstantinos N. Konstantakis, Panayotis G. Michaelides, Panos Xidonas, Arsenios-Georgios Prelorentzos and Aristeidis Samitas

Transparency of combinatorial optimisations via machine learning and explainable AI pp. 427-458

Wolfgang Garn and Mehrdad Amirghasemi

Transparent machine learning models for predicting decisions to undertake energy retrofits in residential buildings pp. 459-487

Serge Nyawa, Christian Gnekpe and Dieudonné Tchuente

Computational logistics in the food and drink industry: advances in modelling and applications pp. 489-493

Arijit Bhattacharya and Alessio Ishizaka

Benders decomposition for a reverse logistics network design problem in the dairy industry pp. 495-546

Rasul Esmaeilbeigi, Richard Middleton, Rodolfo García-Flores and Mojtaba Heydar

Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms pp. 547-603

Fariba Goodarzian, Vikas Kumar and Peiman Ghasemi

Multi-echelon agri-food supply chain network design integrating operational and strategic objectives: a case of public distribution system in India pp. 605-662

Mahima Gupta, Harpreet Kaur and Surya Prakash Singh

A circular food supply chain network model to reduce food waste pp. 663-693

Ozgur Kabadurmus, Yiğit Kazançoğlu, Damla Yüksel and Melisa Özbiltekin Pala

Dynamic pricing and inventory control policies in a food supply chain of growing and deteriorating items pp. 695-734

Nadia Pourmohammad-Zia, Behrooz Karimi and Jafar Rezaei

A capacitated multi pickup online food delivery problem with time windows: a branch-and-cut algorithm pp. 735-756

Amit Kohar and Suresh Kumar Jakhar

Hybrid partheno-genetic algorithm for multi-depot perishable food delivery problem with mixed time windows pp. 757-788

Na Li and Guo Li

Pricing decisions of organic and conventional products in a dual-channel competitive food supply chain pp. 789-825

MirMohammad Musavi, Ata Allah Taleizadeh, Ali Bozorgi-Amiri and Mohammad Sadegh Moshtagh

AHPSort-GAIA: a visualisation tool for the sorting of alternative in AHP portrayed through a case in the food and drink industry pp. 827-842

Alessio Ishizaka, Vijay Pereira and Sajid Siraj

Assessing the sustainable supply chains of tomato paste by fuzzy double frontier network DEA model pp. 843-875

Mohammad Tavassoli, Amirali Fathi and Reza Farzipoor Saen

Volume 353, month 10, 2025

MCDA in climate, technology and finance: integrating decision making and traditional OR with data science and AI pp. 1-2

Panos Xidonas

Using qualitative information elicited from a panel to obtain robust conclusions: a protocol and an application to improve integrated pest management systems pp. 3-24

Luis C. Dias, Pedro Marques, Rita Garcia, Fernanda Santo, Rita Tentúgal, Tiago Natal-da-Luz, Álvaro Sousa, José Paulo Sousa and Fausto Freire

A spatial utility model for ranking maps pp. 25-52

Valérie Brison and Marc Pirlot

Empirical analysis of the trade-offs among risk, return, and climate risk in multi-criteria portfolio optimization pp. 53-76

Sebastian Utz and Ralph E. Steuer

Multi-criteria decision aiding for built heritage value assessment: Model and application in Québec City, Canada pp. 77-92

Irène Abi-Zeid and Jérôme Cerutti

A framework for expected capability sets pp. 93-119

Nicolas Fayard, David Ríos Insua and Alexis Tsoukiàs

Quantifying and reducing the complexity of multi-line charts as a visual aid in multi-criteria decision-making pp. 121-146

He Huang and Sajid Siraj

Criteria definition for digital requirements using hesitant fuzzy linguistic terms sets: an application to the automotive industry pp. 147-169

Pietro Fronte, Núria Agell, Marc Torrens and Diana Mesa

A hybrid fuzzy multi-criteria group decision-making method and its application to healthcare waste treatment technology selection pp. 171-196

Nastaran Goldani and Alessio Ishizaka

Artificial intelligence and change management in small and medium-sized enterprises: an analysis of dynamics within adaptation initiatives pp. 197-223

Sara I. C. Lemos, Fernando A. F. Ferreira, Constantin Zopounidis, Emilios Galariotis and Neuza C. M. Q. F. Ferreira

Multimodal transportation network for bio-waste collection: the case of Normandy pp. 225-250

Yiyi Xu, M’hammed Sahnoun, Fouad Ben Abdelaziz and Anne Louis

Credit rating prediction using a fuzzy MCDM approach with criteria interactions and TOPSIS sorting pp. 251-279

Petr Hajek, Jean-Michel Sahut and Vladimir Olej

A novel fuzzy general best–worst method for considering diversity and inclusion in supplier selection programs pp. 281-320

Madjid Tavana, Shahryar Sorooshian, Meysam Sarvarizadehkouhpaye and Hassan Mina

Mcda strategies for portfolio optimization: a case study on Vietnamese stock market dynamics pp. 321-351

Stéphane Goutte, Hoang-Viet Le, Fei Liu and Hans-Jörg Mettenheim

An MCDA composite index of bank stability using CAMELS ratios and shannon entropy pp. 353-376

Sabri Boubaker, Thanh Ngo, Aristeidis Samitas and David Tripe

Median-adaptive portfolios: a minimum criteria approach to asset allocation pp. 377-400

Foteini Kyriazi, Sophia Tarani and Dimitrios D. Thomakos

Reexamining the oil price & islamic finance relationship: a multicriteria time series analysis pp. 401-417

Fredj Jawadi, Abdoul karim Idi Cheffou and Nabila Jawadi

Ensemble learning for operations research and business analytics pp. 419-448

Koen W. De Bock, Matthias Bogaert and Philippe Jardin

A novel method for corn futures price prediction integrating decomposition, denoising, feature selection and hybrid networks pp. 449-484

Yi Chen

A blending ensemble learning model for crude oil price forecasting pp. 485-515

Mahmudul Hasan, Mohammad Zoynul Abedin, Petr Hajek, Kristof Coussement, Md. Nahid Sultan and Brian Lucey

Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification pp. 517-543

Arthur Thuy and Dries F. Benoit

Uncovering the roots of customer dissatisfaction via Amazon reviews: a hybrid ensemble-deep learning approach for E-commerce quality management pp. 545-574

Rahul Kumar, Shubhadeep Mukherjee and Divya Choudhary

Customer emotion detection and analytics in hotel and tourism services using multi-label classificational models based on ensemble learning pp. 575-605

Nguyen Van-Ho, Nghia Nguyen, Thuy-Hien Nguyen, Yen-Nhi Nguyen, Mai-Thu Dinh and Dung Doan

Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency pp. 607-633

Usama Arshad, Gohar Khan, Fawaz Khaled Alarfaj, Zahid Halim and Sajid Anwar

Optimized churn prediction using ensemble-based feature selection via second-order cone programming pp. 635-665

Baha Ulug and Süreyya Akyüz

Business Failure Prediction From Textual and Tabular Data With Sentence-Level Interpretations pp. 667-692

Henri Arno, Klaas Mulier, Joke Baeck and Thomas Demeester

An adaptive heterogeneous ensemble learning method for multi-dimensional company performance decision-making pp. 693-725

Yi Feng, Mohammad Zoynul Abedin, Yunqiang Yin, Dujuan Wang, Edwin Tai Chiu Cheng and Kristof Coussement

Maximizing the lender’s profit: profit-oriented loan default prediction based on a weighting model pp. 727-760

Huiyu Cui, Lifang Zhang, Hufang Yang, Jianzhou Wang and Zhenkun Liu

An ensemble learning model with dynamic sampling and feature fusion network for class sparsity in credit risk classification pp. 761-791

Changhua He, Lean Yu, Xi Xi, Xiaoming Zhang and Chuanbin Liu

Combining multiple data resampling methods and classifier ensembles for better financial distress prediction: homogeneous and heterogeneous approaches pp. 793-814

Ya-Han Hu, Chih-Fong Tsai and Pei-Ting Wang

Explainable gradient boosting for corporate crisis forecasting in Italian businesses pp. 815-839

Fabrizio Maturo, Donato Riccio, Andrea Mazzitelli, Giuseppe Maria Bifulco and Francesco Paolone

Learning ensembles of interpretable simple structure pp. 841-869

Gaurav Arwade and Sigurdur Olafsson

Pattern-based survival analysis and its application to medicine pp. 871-883

Travaughn Coren Bain, Ersoy Subasi and Munevver Mine Subasi

Reliability assessment of a multi-state mixed $$\delta $$ -shock model based on discrete PH distribution pp. 885-916

Zebin Hu and Linmin Hu

Impacts of CSR and demand disruption on the optimal decisions in logistics service supply chain: a comparison of four analytical models pp. 917-948

Xuehua Ji, Shaochuan Fu, Hadrian Geri Djajadikerta, Tricia Ong and Yong Ye

A stable matching model for long-term carpooling pp. 949-976

Yanping Jiang, Tingwen Zheng, Zhenpeng Tang, Kunyuan Huang and Zhan Gao

Role of emerging technologies for empowering resilience and transparency in supply chains pp. 977-1018

Yigit Kazancoglu, Sachin Kumar Mangla, Sunil Luthra and Mamta Rani Agarwal

Preference-sorting structures extending scores and ordered categories: an axiomatic distance approach in group decision making pp. 1019-1051

Yao Li, Ying He and Yucheng Dong

Truck drone arc covering problem with an application and case study in disaster management pp. 1053-1077

Alexander Rave and Pirmin Fontaine

Revamping staffing strategy: a bottom-up approach pp. 1079-1098

Narsymbat Salimgereyev, Bulat Mukhamediyev, Aijaz A. Shaikh and Katarzyna Czerewacz-Filipowicz

Optimal sequences for pairwise comparisons: the graph of graphs approach pp. 1099-1122

Zsombor Szádoczki and Sándor Bozóki

Decoding Russian stock market trends through ensemble methods and sentiment analysis of social media pp. 1123-1172

Tamara Teplova and Maksim Fayzulin

Identifying ICO scam risk with PU learning based on features engineering of venture capital pp. 1173-1209

Weiqing Wang, Junyi Liang, Liukai Wang, Yu Xiong and Zhichao Si

Corporate social responsibility, profitability and marketability in business performance evaluation: a directional network slacks-based measure approach pp. 1211-1237

Shih-Heng Yu, Ming Chen and Fu-Chiang Yang

Sequential decision-making under uncertainty: a robust MDPs review pp. 1239-1285

Wenfan Ou and Sheng Bi

Optimal control of birth–death processes, with applications to epidemic surveillance pp. 1287-1303

Naama Meira Kopelman, Rami Yaari, Amit Huppert and Yakir Berchenko

Optimisation of annual payments to public hospitals accounting for quality, access, and efficiency pp. 1305-1344

Cristina Folgado Pinto, Ana Sara Costa, Diogo Cunha Ferreira and Miguel Alves Pereira