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Tavana, M., Yazdani, M., &; Di Caprio, D. (2017). An application of an integrated ANP–QFD framework for sustainable supplier selection. International Journal of Logistics Research and Applications, 20(3), 254–275.https://doi.org/10.1080/13675567.2016.1219702 

Tavana, M., Khalili-Damghani, K., Santos-Arteaga, F. J., &; Zandi, M.-H. (2017). Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products. Expert Systems with Applications, 72, 93–107.https://doi.org/10.1016/j.eswa.2016.12.014 

Tavana, M., Santos-Arteaga, F. J., &; Di Caprio, D. (2017). The effect of preference similarity on the formation of clusters and the connectivity of social networks. Computers in Human Behavior, 72, 208–221.https://doi.org/10.1016/j.chb.2017.02.049 

Tavana, M., Santos Arteaga, F. J., Mohammadi, S., &; Alimohammadi, M. (2017). A fuzzy multi-criteria spatial decision support system for solar farm location planning. Energy Strategy Reviews, 18, 93–105.https://doi.org/10.1016/j.esr.2017.09.003 

Alikar, N., Mousavi, S. M., Tavana, M., &; Niaki, S. T. A. (2017). A multi-objective multi-state series-parallel redundancy allocation model using tuned meta-heuristic algorithms. International Journal of Systems Science: Operations &; Logistics, 4(3), 275–296.https://doi.org/10.1080/23302674.2016.1193254 

Di Caprio, D., Santos-Arteaga, F. J., &; Tavana, M. (2017). The emergence of inclusive and exclusive virtual communities determined by the preferences of their users. Journal of Ambient Intelligence and Humanized Computing, 8(3), 315–328.https://doi.org/10.1007/s12652-017-0447-y 

Tavana, M., Shabanpour, H., Yousefi, S., &; Farzipoor Saen, R. (2017). A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation. Neural Computing and Applications, 28(12), 3683–3696.https://doi.org/10.1007/s00521-016-2274-z 

Khanjani Shiraz, R., Tavana, M., Fukuyama, H., &; Di Caprio, D. (2017). Fuzzy chance-constrained geometric programming: the possibility, necessity and credibility approaches. Operational Research, 17(1), 67–97.https://doi.org/10.1007/s12351-015-0216-7 

Toloo, M., &; Tavana, M. (2017). A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs. Annals of Operations Research, 253(1), 657–681.https://doi.org/10.1007/s10479-016-2375-1 

Santos-Arteaga, F. J., Di Caprio, D., Tavana, M., &; O’Connor, A. (2017). Innovation dynamics and labor force restructuring with asymmetrically developed national innovation systems. International Business Review, 26(1), 36–56.https://doi.org/10.1016/j.ibusrev.2016.05.005 

Esmaelian, M., Tavana, M., Di Caprio, D., &; Ansari, R. (2017). A multiple correspondence analysis model for evaluating technology foresight methods. Technological Forecasting and Social Change, 125, 188–205.https://doi.org/10.1016/j.techfore.2017.07.022 

Khalili-Damghani, K., Tavana, M., Santos-Arteaga, F. J., &; Ghanbarzad-Dashti, M. (2017). A customized genetic algorithm for solving multi-period cross-dock truck scheduling problems. Measurement, 108, 101–118.https://doi.org/10.1016/j.measurement.2017.05.027 

Hatami-Marbini, A., Agrell, P. J., Tavana, M., &; Khoshnevis, P. (2017). A flexible cross-efficiency fuzzy data envelopment analysis model for sustainable sourcing. Journal of Cleaner Production, 142, 2761–2779.https://doi.org/10.1016/j.jclepro.2016.10.192 

SANTOS-ARTEAGA, F. J., CAPRIO, D. D., Tavana, M., &; O’CONNOR, A. (2017). FORMALISING THE DEMAND FOR TECHNOLOGICAL INNOVATIONS: RATIONAL HERDS, MARKET FRICTIONS AND NETWORK EFFECTS. International Journal of Innovation Management, 21(02), Article 1750018.https://doi.org/10.1142/s1363919617500189 

Di Caprio, D., Santos-Arteaga, F. J., &; Tavana, M. (2017). A Novel Decision Support Framework for Computing Expected Utilities from Linguistic Evaluations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(06), 1005–1018.https://doi.org/10.1142/s0218488517500441 

Alikar, N., Mousavi, S. M., Ghazilla, R. A. R., Tavana, M., &; Olugu, E. U. (2017). A bi-objective multi-period series-parallel inventory-redundancy allocation problem with time value of money and inflation considerations. Computers &; Industrial Engineering, 104, 51–67.https://doi.org/10.1016/j.cie.2016.12.006 

Alikar, N., Mousavi, S. M., Raja Ghazilla, R. A., Tavana, M., &; Olugu, E. U. (2017). Application of the NSGA-II algorithm to a multi-period inventory-redundancy allocation problem in a series-parallel system. Reliability Engineering &; System Safety, 160, 1–10.https://doi.org/10.1016/j.ress.2016.10.023 

Khanjani Shiraz, R., Charles, V., Tavana, M., &; Di Caprio, D. (2017). A redundancy detection algorithm for fuzzy stochastic multi-objective linear fractional programming problems. Stochastic Analysis and Applications, 35(1), 40–62.https://doi.org/10.1080/07362994.2016.1248780 

Bagloee, S. A., Tavana, M., Di Caprio, D., Asadi, M., &; Heshmati, M. (2017). A multi-user decision support system for online city bus tour planning. Journal of Modern Transportation, 25(2), 59–73.https://doi.org/10.1007/s40534-017-0126-x