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 

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 

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 

Santos-Arteaga, F. J., Di Caprio, D., Tavana, M., Cucchiari, D., Campistol, J. M., Oppenheimer, F., Diekmann, F., &; Revuelta, I. (2024). On the Capacity of Artificial Intelligence Techniques and Statistical Methods to Deal with Low Quality Data in Medical Supply Chain Environments. Engineering Applications of Artificial Intelligence.

Tavana, M., Bonyani, A., &; Karimi, T. (2024). A Full Ranking Method in Data Envelopment Analysis with Multi-Criteria Decision Analysis. International Journal of Applied Management Science.

Setak, M., Tavana, M., &; Talafi Daryani, H. (2024). A Two-Level Supply Chain Coordination Model for Perishable Products under Optimal Markdown Time and Trade Credit Policies. OPSEARCH.

Tavana, M., Sorooshian, S., Sarvarizadehkouhpaye, M., &; Mina, H. (2024). A Novel Fuzzy General Best-Worst Method for Considering Diversity and Inclusion in Supplier Selection Programs. Annals of Operations Research.

Dellnitz, A., &; Tavana, M. (2024). Data Envelopment Analysis: From Non-Monotonic to Monotonic Scale Elasticities. European Journal of Operational Research.

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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 

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