Khanjani Shiraz, R., Fukuyama, H., Tavana, M., &; Di Caprio, D. (2016). An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets. Applied Soft Computing, 46, 204–219.https://doi.org/10.1016/j.asoc.2016.04.043 

Di Caprio, D., Santos-Arteaga, F. J., &; Tavana, M. (2016). An optimal sequential information acquisition model subject to a heuristic assimilation constraint. Benchmarking: An International Journal, 23(4), 937–982.https://doi.org/10.1108/bij-01-2014-0008 

Ebrahimnejad, A., Tavana, M., &; Santos-Arteaga, F. J. (2016). An integrated data envelopment analysis and simulation method for group consensus ranking. Mathematics and Computers in Simulation, 119, 1–17.https://doi.org/10.1016/j.matcom.2015.08.022 

Tavana, M., Zareinejad, M., Santos-Arteaga, F. J., &; Kaviani, M. A. (2016). A conceptual analytic network model for evaluating and selecting third-party reverse logistics providers. The International Journal of Advanced Manufacturing Technology, 86(5–8), 1705–1721.https://doi.org/10.1007/s00170-015-8208-6 

Khanjani Shiraz, R., Tavana, M., Di Caprio, D., &; Fukuyama, H. (2016). Solving Geometric Programming Problems with Normal, Linear and Zigzag Uncertainty Distributions. Journal of Optimization Theory and Applications, 170(1), 243–265.https://doi.org/10.1007/s10957-015-0857-y 

Hajipour, V., Fattahi, P., Tavana, M., &; Di Caprio, D. (2016). Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics. Applied Mathematical Modelling, 40(7–8), 4948–4969.https://doi.org/10.1016/j.apm.2015.12.013 

Sodenkamp, M. A., Tavana, M., &; Di Caprio, D. (2016). Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading. European Journal of Operational Research, 254(3), 859–874.https://doi.org/10.1016/j.ejor.2016.04.015 

Tavana, M., Kazemi, M. R., Vafadarnikjoo, A., &; Mobin, M. (2016). An artificial immune algorithm for ergonomic product classification using anthropometric measurements. Measurement, 94, 621–629.https://doi.org/10.1016/j.measurement.2016.09.007 

Tavana, M., Kaviani, M. A., Di Caprio, D., &; Rahpeyma, B. (2016). A two-stage data envelopment analysis model for measuring performance in three-level supply chains. Measurement, 78, 322–333.https://doi.org/10.1016/j.measurement.2015.10.023 

Tavana, M., Di Caprio, D., &; Santos-Arteaga, F. J. (2016). Managing team coordination incentives: the effect of payoff differentials. Journal of Centrum Cathedra, 9(1), 52–70.https://doi.org/10.1108/jcc-08-2016-0003 

Khalili-Damghani, K., Tavana, M., &; Santos-Arteaga, F. J. (2016). A comprehensive fuzzy DEA model for emerging market assessment and selection decisions. Applied Soft Computing, 38, 676–702.https://doi.org/10.1016/j.asoc.2015.09.048 

Ebrahimnejad, A., Tavana, M., &; Alrezaamiri, H. (2016). A novel artificial bee colony algorithm for shortest path problems with fuzzy arc weights. Measurement, 93, 48–56.https://doi.org/10.1016/j.measurement.2016.06.050 

Tavana, M., Di Caprio, D., &; Santos-Arteaga, F. J. (2016). Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis. Annals of Operations Research, 244(2), 647–676.https://doi.org/10.1007/s10479-016-2114-7 

Tavana, M., Santos-Arteaga, F. J., Di Caprio, D., &; Tierney, K. (2016). Modeling signal-based decisions in online search environments: A non-recursive forward-looking approach. Information &; Management, 53(2), 207–226.https://doi.org/10.1016/j.im.2015.10.002 

Tavana, M., Li, Z., Mobin, M., Komaki, M., &; Teymourian, E. (2016). Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS. Expert Systems with Applications, 50, 17–39.https://doi.org/10.1016/j.eswa.2015.11.007 

Tavana, M., Liu, W., Elmore, P., Petry, F. E., &; Bourgeois, B. S. (2016). A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems. Measurement, 81, 123–162.https://doi.org/10.1016/j.measurement.2015.12.007 

Tavana, M., Fallahpour, A., Di Caprio, D., &; Santos-Arteaga, F. J. (2016). A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection. Expert Systems with Applications, 61, 129–144.https://doi.org/10.1016/j.eswa.2016.05.027 

Tavana, M., Zareinejad, M., Di Caprio, D., &; Kaviani, M. A. (2016). An integrated intuitionistic fuzzy AHP and SWOT method for outsourcing reverse logistics. Applied Soft Computing, 40, 544–557.https://doi.org/10.1016/j.asoc.2015.12.005 

Tavana, M., Kiani Mavi, R., Santos-Arteaga, F. J., &; Rasti Doust, E. (2016). An extended VIKOR method using stochastic data and subjective judgments. Computers &; Industrial Engineering, 97, 240–247.https://doi.org/10.1016/j.cie.2016.05.013 

Tavana, M., Di Caprio, D., &; Santos Arteaga, F. J. (2016). Modeling Sequential Information Acquisition Behavior in Rational Decision Making. Decision Sciences, 47(4), 720–761.https://doi.org/10.1111/deci.12193