Tavana, M., Khanjani Shiraz, R., &; Di Caprio, D. (2019). A chance-constrained portfolio selection model with random-rough variables. Neural Computing and Applications, 31(), 931–945.https://doi.org/10.1007/s00521-017-3014-8 

Nasiri, M. M., Ranjbar, M., Tavana, M., Santos Arteaga, F. J., &; Yazdanparast, R. (2019). A novel hybrid method for selecting soccer players during the transfer season. Expert Systems, 36(1).https://doi.org/10.1111/exsy.12342 

Aghayi, N., &; Tavana, M. (2019). A novel three-stage distance-based consensus ranking method. Journal of Industrial Engineering International, 15(1), 17–24.https://doi.org/10.1007/s40092-018-0268-4 

Hajipour, V., Tavana, M., Di Caprio, D., Akhgar, M., &; Jabbari, Y. (2019). An optimization model for traceable closed-loop supply chain networks. Applied Mathematical Modelling, 71, 673–699.https://doi.org/10.1016/j.apm.2019.03.007 

Tavana, M., Khosrojerdi, G., Mina, H., &; Rahman, A. (2019). A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process. Evaluation and Program Planning, 77, Article 101703.https://doi.org/10.1016/j.evalprogplan.2019.101703 

Rauchecker, G., &; Schryen, G. (2018). Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management. Rochester, NY, USA.

Prester, J., Wagner, G., &; Schryen, G. (2018). Classifying the Ideational Impact of IS Review Articles: A Natural Language Processing Based Approach. In Proceedings of the 2018 International Conference on Information Systems (ICIS 2018). San Francisco, CA, USA.

Schillinger, R., &; Schryen, G. (2018). Security in Highly Connected IT Systems – Results of the Bavarian Research Alliance FORSEC. University of Regensburg.https://doi.org/10.5283/epub.36264 

Weishäupl, E., Yasasin, E., &; Schryen, G. (2018). Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning. Computers &; Security, 77, 807–823.

Schuster, R., Wagner, G., &; Schryen, G. (2018). Information Systems Design Science Research and Cumulative Knowledge Development: An Exploratory Study. In Proceedings of the 2018 International Conference on Information Systems (ICIS 2018). San Francisco, CA, USA.

Hallmann, C., Burmeister, S. C., Wissing, M., &; Suhl, L. (2018). Heuristics and Simulation for Water Tank Optimization. In Communications in Computer and Information Science. Cham.https://doi.org/10.1007/978-3-319-96271-9_5 

Hallmann, C., &; Kuhlemann, S. (2018). Model Generator for Water Distribution Systems. In Operations Research Proceedings. Cham.https://doi.org/10.1007/978-3-319-89920-6_34 

Ebrahimi, B., Tavana, M., Rahmani, M., &; Santos-Arteaga, F. J. (2018). Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data. Neural Computing and Applications, 30(6), 1971–1982.https://doi.org/10.1007/s00521-016-2826-2 

Banakar, Z., Tavana, M., Huff, B., &; Di Caprio, D. (2018). A bank merger predictive model using the Smoluchowski stochastic coagulation equation and reverse engineering. International Journal of Bank Marketing, 36(4), 634–662.https://doi.org/10.1108/ijbm-05-2017-0106 

Razavi Hajiagha, S. H., Amoozad Mahdiraji, H., Tavana, M., &; Hashemi, S. S. (2018). A novel common set of weights method for multi-period efficiency measurement using mean-variance criteria. Measurement, 129, 569–581.https://doi.org/10.1016/j.measurement.2018.07.061 

Mobin, M., Mousavi, S. M., Komaki, M., &; Tavana, M. (2018). A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms. Measurement, 114, 417–427.https://doi.org/10.1016/j.measurement.2017.10.009 

Shiraz, R. K., Tavana, M., &; Di Caprio, D. (2018). Chance-constrained data envelopment analysis modeling with random-rough data. RAIRO - Operations Research, 52(1), 259–284.https://doi.org/10.1051/ro/2016076 

Chión, S. J., Charles, V., &; Tavana, M. (2018). Impact of incentive schemes and personality-tradeoffs on two-agent coopetition with numerical estimations. Measurement, 125, 182–195.https://doi.org/10.1016/j.measurement.2018.03.075 

Tavana, M., Zareinejad, M., &; Santos-Arteaga, F. J. (2018). An intuitionistic fuzzy-grey superiority and inferiority ranking method for third-party reverse logistics provider selection. International Journal of Systems Science: Operations &; Logistics, 5(2), 175–194.https://doi.org/10.1080/23302674.2016.1256448 

Tavana, M., Santos-Arteaga, F. J., Mahmoodirad, A., Niroomand, S., &; Sanei, M. (2018). Multi-stage supply chain network solution methods: hybrid metaheuristics and performance measurement. International Journal of Systems Science: Operations &; Logistics, 5(4), 356–373.https://doi.org/10.1080/23302674.2017.1316877