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190 Publications


2022 | Journal Article | LibreCat-ID: 53246
D. Pamucar, M. Deveci, I. Gokasar, M. Tavana, and M. Köppen, “A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms,” Technological Forecasting and Social Change, vol. 182, Art. no. 121778, 2022, doi: 10.1016/j.techfore.2022.121778.
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2022 | Journal Article | LibreCat-ID: 53247
O. Shahvari, R. Logendran, and M. Tavana, “An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems,” Journal of Scheduling, vol. 25, no. 5, pp. 589–621, 2022, doi: 10.1007/s10951-022-00729-7.
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2022 | Journal Article | LibreCat-ID: 53248
A. Ebrahimnejad, M. Tavana, and V. Charles, “Analytics under uncertainty: a novel method for solving linear programming problems with trapezoidal fuzzy variables,” Soft Computing, vol. 26, no. 1, pp. 327–347, 2022, doi: 10.1007/s00500-021-06389-7.
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2022 | Journal Article | LibreCat-ID: 53243
A. Vafadarnikjoo, M. Tavana, K. Chalvatzis, and T. Botelho, “A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains,” Socio-Economic Planning Sciences, vol. 80, Art. no. 101156, 2022, doi: 10.1016/j.seps.2021.101156.
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2022 | Journal Article | LibreCat-ID: 53250
D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “A new algorithm for modeling online search behavior and studying ranking reliability variations,” Applied Intelligence, vol. 52, no. 7, pp. 7529–7549, 2022, doi: 10.1007/s10489-021-02856-8.
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2022 | Journal Article | LibreCat-ID: 53244
D. Di Caprio, F. J. Santos-Arteaga, and M. Tavana, “An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments,” Expert Systems with Applications, vol. 191, Art. no. 116352, 2022, doi: 10.1016/j.eswa.2021.116352.
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2022 | Journal Article | LibreCat-ID: 53245
S. Moazzeni, M. Tavana, and S. Mostafayi Darmian, “A dynamic location-arc routing optimization model for electric waste collection vehicles,” Journal of Cleaner Production, vol. 364, Art. no. 132571, 2022, doi: 10.1016/j.jclepro.2022.132571.
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2022 | Journal Article | LibreCat-ID: 53253
M. Tavana, S. Nazari-Shirkouhi, A. Mashayekhi, and S. Mousakhani, “An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers,” Operations Research Forum, vol. 3, no. 1, Art. no. 17, 2022, doi: 10.1007/s43069-022-00132-0.
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2022 | Journal Article | LibreCat-ID: 53251
A. Afrasiabi, M. Tavana, and D. Di Caprio, “An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection,” Environmental Science and Pollution Research, vol. 29, no. 25, pp. 37291–37314, 2022, doi: 10.1007/s11356-021-17851-2.
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2022 | Journal Article | LibreCat-ID: 53252
F. J. Santos-Arteaga, M. Tavana, and D. Di Caprio, “Information acquisition and assimilation capacities as determinants of technological niche markets,” Journal of Innovation & Knowledge, vol. 7, no. 3, Art. no. 100193, 2022, doi: 10.1016/j.jik.2022.100193.
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2022 | Journal Article | LibreCat-ID: 53255
M. Jabbari, M. Tavana, P. Fattahi, and F. Daneshamooz, “A parameter tuned hybrid algorithm for solving flow shop scheduling problems with parallel assembly stages,” Sustainable Operations and Computers, vol. 3, pp. 22–32, 2022, doi: 10.1016/j.susoc.2021.09.002.
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2022 | Journal Article | LibreCat-ID: 53256
S. E. Hashemi, M. Tavana, and M. Bakhshi, “A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering,” SN Computer Science, vol. 3, no. 4, Art. no. 311, 2022, doi: 10.1007/s42979-022-01208-8.
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2022 | Journal Article | LibreCat-ID: 53254
M. Tavana, A. Shaabani, I. Raeesi Vanani, and R. Kumar Gangadhari, “A Review of Digital Transformation on Supply Chain Process Management Using Text Mining,” Processes, vol. 10, no. 5, Art. no. 842, 2022, doi: 10.3390/pr10050842.
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2021 | Journal Article | LibreCat-ID: 53860
M. Tavana, H. Mousavi, A. Khalili Nasr, and H. Mina, “A fuzzy weighted influence non-linear gauge system with application to advanced technology assessment at NASA,” Expert Systems with Applications, vol. 182, Art. no. 115274, 2021, doi: 10.1016/j.eswa.2021.115274.
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2021 | Journal Article | LibreCat-ID: 53864
M. Tavana, M. Izadikhah, R. Farzipoor Saen, and R. Zare, “An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management,” Environmental Science and Pollution Research, vol. 28, no. 1, pp. 664–682, 2021, doi: 10.1007/s11356-020-10353-7.
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2021 | Journal Article | LibreCat-ID: 53868
M. Tavana, A. Shaabani, F. J. Santos-Arteaga, and N. Valaei, “An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics,” Environmental Science and Pollution Research, vol. 28, no. 38, pp. 53953–53982, 2021, doi: 10.1007/s11356-021-14302-w.
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2021 | Journal Article | LibreCat-ID: 53865
M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, and N. Varzgani, “An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection,” International Journal of Systems Science: Operations & Logistics, vol. 8, no. 3, pp. 238–261, 2021, doi: 10.1080/23302674.2020.1737754.
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2021 | Journal Article | LibreCat-ID: 53872
B. Ebrahimi, M. Tavana, A. Kleine, and A. Dellnitz, “An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors,” OR Spectrum, vol. 43, no. 4, pp. 1103–1124, 2021, doi: 10.1007/s00291-021-00649-6.
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2021 | Journal Article | LibreCat-ID: 53869
M. Tavana, A. Shaabani, D. Di Caprio, and A. Bonyani, “An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains,” Cleaner Logistics and Supply Chain, vol. 2, Art. no. 100009, 2021, doi: 10.1016/j.clscn.2021.100009.
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2021 | Journal Article | LibreCat-ID: 53866
M. Tavana, H. Tohidi, M. Alimohammadi, and R. Lesansalmasi, “A location-inventory-routing model for green supply chains with low-carbon emissions under uncertainty,” Environmental Science and Pollution Research, vol. 28, no. 36, pp. 50636–50648, 2021, doi: 10.1007/s11356-021-13815-8.
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