Asadi Bagloee, S., Tavana, M., Withers, G., Patriksson, M., &; Asadi, M. (2019). Tradable mobility permit with Bitcoin and Ethereum – A Blockchain application in transportation. Internet of Things, 8, Article 100103.https://doi.org/10.1016/j.iot.2019.100103 

Razavi Hajiagha, S. H., Amoozad Mahdiraji, H., &; Tavana, M. (2019). A new bi-level data envelopment analysis model for efficiency measurement and target setting. Measurement, 147, Article 106877.https://doi.org/10.1016/j.measurement.2019.106877 

Aghayi, N., Tavana, M., &; Maleki, B. (2019). A Malmquist Productivity Index with Directional Distance Function and Uncertain Data. Scientia Iranica, 0(0), 0–0.https://doi.org/10.24200/sci.2018.5259.1173 

-, S., Tavana, M., Shabani, A., &; Singh, R. (2019). The impact of interwoven integration practices on supply chain value addition and firm performance. Journal of Industrial Engineering International, 15(Suppl 1), 39–51.https://doi.org/10.1007/s40092-019-0316-8 

Mousavi, S. M., Alikar, N., Tavana, M., &; Di Caprio, D. (2019). An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems. Journal of Intelligent Manufacturing, 30(3), 1175–1194.https://doi.org/10.1007/s10845-017-1311-9 

Zare, H., Tavana, M., Mardani, A., Masoudian, S., &; Kamali Saraji, M. (2019). A hybrid data envelopment analysis and game theory model for performance measurement in healthcare. Health Care Management Science, 22(3), 475–488.https://doi.org/10.1007/s10729-018-9456-4 

Santos Arteaga, F. J., Tavana, M., Di Caprio, D., &; Toloo, M. (2019). A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution. European Journal of Operational Research, 278(2), 448–462.https://doi.org/10.1016/j.ejor.2018.09.008 

Santos-Arteaga, F. J., Torrecillas, C., &; Tavana, M. (2019). Dynamic effects of learning on the innovative outputs and productivity in Spanish multinational enterprises. The Journal of Technology Transfer, 44(1), 97–131.https://doi.org/10.1007/s10961-017-9597-5 

Talaei-Khoei, A., Tavana, M., &; Wilson, J. M. (2019). A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases. Artificial Intelligence in Medicine, 101, Article 101750.https://doi.org/10.1016/j.artmed.2019.101750 

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