Schryen, G., Marrone, M., &; Yang, J. (2024). Adopting Generative AI for Literature Reviews: An Epistemological Perspective. Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024).
LibreCat: /record/47427

Betke, H., Sperling, M., Schryen, G., &; Sackmann, S. (2024). A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response. Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024).
LibreCat: /record/47429

Schryen, G. (2024). Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. Journal of Parallel and Distributed Computing.
LibreCat: /record/50301

Stumpe, M. (2024). A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems. Transportation Research Procedia, 78, 402–409.https://doi.org/10.1016/j.trpro.2024.02.051 
LibreCat: /record/52092
DOI: 10.1016/j.trpro.2024.02.051

Stumpe, M., Dieter, P., Schryen, G., Müller, O., &; Beverungen, D. (2024). Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study. Transportation Research Part A: Policy and Practice.
LibreCat: /record/53130

Amiri, A., Tavana, M., &; Arman, H. (2024). An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction. Internet of Things, 25, Article 101027.https://doi.org/10.1016/j.iot.2023.101027 
LibreCat: /record/53213
DOI: 10.1016/j.iot.2023.101027

Mahmoodi, E., Fathi, M., Tavana, M., Ghobakhloo, M., &; Ng, A. H. C. (2024). Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing. Journal of Manufacturing Systems, 72, 287–307.https://doi.org/10.1016/j.jmsy.2023.11.019 
LibreCat: /record/53212
DOI: 10.1016/j.jmsy.2023.11.019

Tavana, M., &; Sorooshian, S. (2024). A systematic review of the soft computing methods shaping the future of the metaverse. Applied Soft Computing, 150, Article 111098.https://doi.org/10.1016/j.asoc.2023.111098 
LibreCat: /record/53205
DOI: 10.1016/j.asoc.2023.111098

Burmeister, S. C., &; Schryen, G. (2023). Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators. Energy Systems.https://doi.org/10.1007/s12667-023-00572-5 
LibreCat: /record/42179
DOI: 10.1007/s12667-023-00572-5

Schryen, G., &; Sperling, M. (2023). Literature Reviews in Operations Research: A New Taxonomy and a Meta Review. Computers &; Operations Research, 157(September), Article 106269.
LibreCat: /record/44361

Dieter, P., Caron, M., &; Schryen, G. (2023). Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework. European Journal of Operational Research (EJOR), 311(1), 283–300.https://doi.org/10.1016/j.ejor.2023.04.043 
LibreCat: /record/44383
DOI: https://doi.org/10.1016/j.ejor.2023.04.043

Dieter, P., Stumpe, M., Ulmer, M. W., &; Schryen, G. (2023). Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation Research Part D, 121, Article 103832.
LibreCat: /record/45816

Dieter, P. (2023). A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows. In Lecture Notes in Computer Science. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-43612-3_14 
LibreCat: /record/46867
DOI: 10.1007/978-3-031-43612-3_14

Burmeister, S. C., Guericke, D., &; Schryen, G. (2023). A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs. Flexible Services and Manufacturing Journal.https://doi.org/10.1007/s10696-023-09517-7 
LibreCat: /record/47431
DOI: 10.1007/s10696-023-09517-7

Beverungen, D., Kundisch, D., Mirbabaie, M., Müller, O., Schryen, G., Trang, S. T.-N., &; Trier, M. (2023). Digital Responsibility – a Multilevel Framework for Responsible Digitalization. Business &; Information Systems Engineering, 65(4), 463–474.https://doi.org/10.1007/s12599-023-00822-x 
LibreCat: /record/45112
DOI: https://doi.org/10.1007/s12599-023-00822-x

Knorr, L., Jungeilges, A., Pfeifer, F., Burmeister, S. C., &; Meschede, H. (2023). Regenerative Energien für einen effizienten Betrieb von Presshärtelinien. 4. Aachener Ofenbau- und Thermoprozess-Kolloquium.
LibreCat: /record/48335

Tavana, M., Khalili Nasr, A., Ahmadabadi, A. B., Amiri, A. S., &; Mina, H. (2023). An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks. Internet of Things, 22, Article 100786.https://doi.org/10.1016/j.iot.2023.100786 
LibreCat: /record/53220
DOI: 10.1016/j.iot.2023.100786

Tavana, M., Soltanifar, M., Santos-Arteaga, F. J., &; Sharafi, H. (2023). Analytic hierarchy process and data envelopment analysis: A match made in heaven. Expert Systems with Applications, 223, Article 119902.https://doi.org/10.1016/j.eswa.2023.119902 
LibreCat: /record/53218
DOI: 10.1016/j.eswa.2023.119902

Tavana, M., Hajipour, V., Alaghebandha, M., &; Di Caprio, D. (2023). A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems. Machine Learning with Applications, 11, Article 100445.https://doi.org/10.1016/j.mlwa.2022.100445 
LibreCat: /record/53219
DOI: 10.1016/j.mlwa.2022.100445

Tavana, M., Mina, H., &; Santos-Arteaga, F. J. (2023). A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA. Journal of Business Research, 154, Article 113272.https://doi.org/10.1016/j.jbusres.2022.08.036 
LibreCat: /record/53217
DOI: 10.1016/j.jbusres.2022.08.036

Tavana, M., Soltanifar, M., &; Santos-Arteaga, F. J. (2023). Analytical hierarchy process: revolution and evolution. Annals of Operations Research, 326(2), 879–907.https://doi.org/10.1007/s10479-021-04432-2 
LibreCat: /record/53216
DOI: 10.1007/s10479-021-04432-2

Tavana, M., Heidary, M. S., &; Mina, H. (2023). A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA. Applied Soft Computing, 145, Article 110572.https://doi.org/10.1016/j.asoc.2023.110572 
LibreCat: /record/53215
DOI: 10.1016/j.asoc.2023.110572

Santos-Arteaga, F. J., Di Caprio, D., Tavana, M., &; Tena, E. C. (2023). A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation. IEEE Transactions on Fuzzy Systems, 31(2), 460–474.https://doi.org/10.1109/tfuzz.2022.3188875 
LibreCat: /record/53229
DOI: 10.1109/tfuzz.2022.3188875

Marín, R., Santos-Arteaga, F. J., Tavana, M., &; Di Caprio, D. (2023). Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises. Journal of Innovation &; Knowledge, 8(4), Article 100454.https://doi.org/10.1016/j.jik.2023.100454 
LibreCat: /record/53226
DOI: 10.1016/j.jik.2023.100454

Tirkolaee, E. B., Torkayesh, A. E., Tavana, M., Goli, A., Simic, V., &; Ding, W. (2023). An integrated decision support framework for resilient vaccine supply chain network design. Engineering Applications of Artificial Intelligence, 126, Article 106945.https://doi.org/10.1016/j.engappai.2023.106945 
LibreCat: /record/53228
DOI: 10.1016/j.engappai.2023.106945

Soltanifar, M., Tavana, M., Santos-Arteaga, F. J., &; Sharafi, H. (2023). A hybrid multi-attribute decision-making and data envelopment analysis model with heterogeneous attributes: The case of sustainable development goals. Environmental Science &; Policy, 147, 89–102.https://doi.org/10.1016/j.envsci.2023.06.004 
LibreCat: /record/53221
DOI: 10.1016/j.envsci.2023.06.004

Deveci, M., Pamucar, D., Gokasar, I., &; Tavana, M. (2023). Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods. Advances in Space Research, 71(9), 3534–3551.https://doi.org/10.1016/j.asr.2022.07.056 
LibreCat: /record/53227
DOI: 10.1016/j.asr.2022.07.056

Dellnitz, A., Tavana, M., &; Banker, R. (2023). A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis. Annals of Operations Research, 322(2), 661–690.https://doi.org/10.1007/s10479-022-04937-4 
LibreCat: /record/53223
DOI: 10.1007/s10479-022-04937-4

Santos-Arteaga, F. J., Di Caprio, D., &; Tavana, M. (2023). A combinatorial data envelopment analysis with uncertain interval data with application to ICT evaluation. Technological Forecasting and Social Change, 191, Article 122510.https://doi.org/10.1016/j.techfore.2023.122510 
LibreCat: /record/53224
DOI: 10.1016/j.techfore.2023.122510

Hilbert, M., Dellnitz, A., Kleine, A., &; Tavana, M. (2023). A novel indicator for sustainability in production planning using Center of Gravity-based assessment of Pareto fronts. Computers &; Industrial Engineering, 185, Article 109618.https://doi.org/10.1016/j.cie.2023.109618 
LibreCat: /record/53225
DOI: 10.1016/j.cie.2023.109618

Sorooshian, S., Tavana, M., &; Ribeiro-Navarrete, S. (2023). From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research. Journal of Business Research, 157, Article 113642.https://doi.org/10.1016/j.jbusres.2022.113642 
LibreCat: /record/53222
DOI: 10.1016/j.jbusres.2022.113642

Namazi, M., Tavana, M., Mohammadi, E., &; Bonyadi Naeini, A. (2023). A new strategic approach for R&;amp;D project portfolio selection using efficiency-uncertainty maps. Benchmarking: An International Journal, 30(10), 4193–4220.https://doi.org/10.1108/bij-02-2022-0129 
LibreCat: /record/53232
DOI: 10.1108/bij-02-2022-0129

Hajipour, V., Niaki, S. T. A., Tavana, M., Santos-Arteaga, F. J., &; Hosseinzadeh, S. (2023). A comparative performance analysis of intelligence-based algorithms for optimizing competitive facility location problems. Machine Learning with Applications, 11, Article 100443.https://doi.org/10.1016/j.mlwa.2022.100443 
LibreCat: /record/53231
DOI: 10.1016/j.mlwa.2022.100443

Mahdiraji, H. A., Tavana, M., &; Rezayar, A. (2023). A Game-Theoretic Framework for Analyzing the Impact of Social Responsibility and Supply Chain Profitability. Cybernetics and Systems, 54(1), 104–137.https://doi.org/10.1080/01969722.2022.2055402 
LibreCat: /record/53230
DOI: 10.1080/01969722.2022.2055402

Sperling, M., &; Schryen, G. (2022). Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers. European Journal of Operational Research (EJOR), 299(2), 690–705.
LibreCat: /record/23415

Tavana, M., Khalili Nasr, A., Mina, H., &; Michnik, J. (2022). A private sustainable partner selection model for green public-private partnerships and regional economic development. Socio-Economic Planning Sciences, 83, Article 101189.https://doi.org/10.1016/j.seps.2021.101189 
LibreCat: /record/53238
DOI: 10.1016/j.seps.2021.101189

Tavana, M., Azadmanesh, A., Nasr, A. K., &; Mina, H. (2022). A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry. Current Issues in Tourism, 25(22), 3709–3734.https://doi.org/10.1080/13683500.2021.2015299 
LibreCat: /record/53240
DOI: 10.1080/13683500.2021.2015299

Khalili-Damghani, K., Tavana, M., &; Ghasemi, P. (2022). A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems. Annals of Operations Research, 309(1), 103–141.https://doi.org/10.1007/s10479-021-04191-0 
LibreCat: /record/53241
DOI: 10.1007/s10479-021-04191-0

Tavana, M., Shaabani, A., Di Caprio, D., &; Bonyani, A. (2022). A novel Interval Type-2 Fuzzy best-worst method and combined compromise solution for evaluating eco-friendly packaging alternatives. Expert Systems with Applications, 200, Article 117188.https://doi.org/10.1016/j.eswa.2022.117188 
LibreCat: /record/53236
DOI: 10.1016/j.eswa.2022.117188

Tavana, M., Kian, H., Nasr, A. K., Govindan, K., &; Mina, H. (2022). A comprehensive framework for sustainable closed-loop supply chain network design. Journal of Cleaner Production, 332, Article 129777.https://doi.org/10.1016/j.jclepro.2021.129777 
LibreCat: /record/53237
DOI: 10.1016/j.jclepro.2021.129777

Tavana, M., Ghasrikhouzani, M., &; Abtahi, A.-R. (2022). A technology development framework for scenario planning and futures studies using causal modeling. Technology Analysis &; Strategic Management, 34(8), 859–875.https://doi.org/10.1080/09537325.2021.1931672 
LibreCat: /record/53239
DOI: 10.1080/09537325.2021.1931672

Ebadi Torkayesh, A., Tavana, M., &; Santos-Arteaga, F. J. (2022). A multi-distance interval-valued neutrosophic approach for social failure detection in sustainable municipal waste management. Journal of Cleaner Production, 336, Article 130409.https://doi.org/10.1016/j.jclepro.2022.130409 
LibreCat: /record/53242
DOI: 10.1016/j.jclepro.2022.130409

Pamucar, D., Macura, D., Tavana, M., Boeani, D., &; Kneeevi, N. (2022). An integrated rough group multicriteria decision-making model for the ex-ante prioritization of infrastructure projects: The Serbian Railways case. Socio-Economic Planning Sciences, 79, Article 101098.https://doi.org/10.1016/j.seps.2021.101098 
LibreCat: /record/53249
DOI: 10.1016/j.seps.2021.101098

Pamucar, D., Deveci, M., Gokasar, I., Tavana, M., &; Köppen, M. (2022). A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms. Technological Forecasting and Social Change, 182, Article 121778.https://doi.org/10.1016/j.techfore.2022.121778 
LibreCat: /record/53246
DOI: 10.1016/j.techfore.2022.121778

Shahvari, O., Logendran, R., &; Tavana, M. (2022). An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems. Journal of Scheduling, 25(5), 589–621.https://doi.org/10.1007/s10951-022-00729-7 
LibreCat: /record/53247
DOI: 10.1007/s10951-022-00729-7

Ebrahimnejad, A., Tavana, M., &; Charles, V. (2022). Analytics under uncertainty: a novel method for solving linear programming problems with trapezoidal fuzzy variables. Soft Computing, 26(1), 327–347.https://doi.org/10.1007/s00500-021-06389-7 
LibreCat: /record/53248
DOI: 10.1007/s00500-021-06389-7

Vafadarnikjoo, A., Tavana, M., Chalvatzis, K., &; Botelho, T. (2022). A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains. Socio-Economic Planning Sciences, 80, Article 101156.https://doi.org/10.1016/j.seps.2021.101156 
LibreCat: /record/53243
DOI: 10.1016/j.seps.2021.101156

Di Caprio, D., Santos-Arteaga, F. J., &; Tavana, M. (2022). A new algorithm for modeling online search behavior and studying ranking reliability variations. Applied Intelligence, 52(7), 7529–7549.https://doi.org/10.1007/s10489-021-02856-8 
LibreCat: /record/53250
DOI: 10.1007/s10489-021-02856-8

Di Caprio, D., Santos-Arteaga, F. J., &; Tavana, M. (2022). An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments. Expert Systems with Applications, 191, Article 116352.https://doi.org/10.1016/j.eswa.2021.116352 
LibreCat: /record/53244
DOI: 10.1016/j.eswa.2021.116352

Moazzeni, S., Tavana, M., &; Mostafayi Darmian, S. (2022). A dynamic location-arc routing optimization model for electric waste collection vehicles. Journal of Cleaner Production, 364, Article 132571.https://doi.org/10.1016/j.jclepro.2022.132571 
LibreCat: /record/53245
DOI: 10.1016/j.jclepro.2022.132571