@article{53987,
  author       = {{Toloo, Mehdi and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{1435-246X}},
  journal      = {{Central European Journal of Operations Research}},
  number       = {{4}},
  pages        = {{887--904}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights}}},
  doi          = {{10.1007/s10100-017-0510-y}},
  volume       = {{27}},
  year         = {{2019}},
}

@article{53976,
  author       = {{Mousavi, Seyed Mohsen and Tavana, Madjid and Alikar, Najmeh and Zandieh, Mostafa}},
  issn         = {{0941-0643}},
  journal      = {{Neural Computing and Applications}},
  number       = {{3}},
  pages        = {{873--885}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification}}},
  doi          = {{10.1007/s00521-017-3115-4}},
  volume       = {{31}},
  year         = {{2019}},
}

@article{53988,
  author       = {{Ebrahimnejad, Ali and Tavana, Madjid and Nasseri, Seyed Hadi and Gholami, Omid}},
  issn         = {{0219-6220}},
  journal      = {{International Journal of Information Technology & Decision Making}},
  number       = {{01}},
  pages        = {{147--170}},
  publisher    = {{World Scientific Pub Co Pte Lt}},
  title        = {{{A New Method for Solving Dual DEA Problems with Fuzzy Stochastic Data}}},
  doi          = {{10.1142/s0219622018500396}},
  volume       = {{18}},
  year         = {{2019}},
}

@article{53965,
  author       = {{Tavana, Madjid and Khalili-Damghani, Kaveh and Santos Arteaga, Francisco J. and Hosseini, Amineh}},
  issn         = {{0360-8352}},
  journal      = {{Computers & Industrial Engineering}},
  pages        = {{143--155}},
  publisher    = {{Elsevier BV}},
  title        = {{{A fuzzy multi-objective multi-period network DEA model for efficiency measurement in oil refineries}}},
  doi          = {{10.1016/j.cie.2019.05.033}},
  volume       = {{135}},
  year         = {{2019}},
}

@article{53978,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{2214-7160}},
  journal      = {{Operations Research Perspectives}},
  publisher    = {{Elsevier BV}},
  title        = {{{The role of anticipated emotions and the value of information in determining sequential search incentives}}},
  doi          = {{10.1016/j.orp.2019.100106}},
  volume       = {{6}},
  year         = {{2019}},
}

@article{53986,
  author       = {{Asadi Bagloee, Saeed and Tavana, Madjid and Withers, Glenn and Patriksson, Michael and Asadi, Mohsen}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  publisher    = {{Elsevier BV}},
  title        = {{{Tradable mobility permit with Bitcoin and Ethereum – A Blockchain application in transportation}}},
  doi          = {{10.1016/j.iot.2019.100103}},
  volume       = {{8}},
  year         = {{2019}},
}

@article{53977,
  author       = {{Razavi Hajiagha, Seyed Hossein and Amoozad Mahdiraji, Hannan and Tavana, Madjid}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  publisher    = {{Elsevier BV}},
  title        = {{{A new bi-level data envelopment analysis model for efficiency measurement and target setting}}},
  doi          = {{10.1016/j.measurement.2019.106877}},
  volume       = {{147}},
  year         = {{2019}},
}

@article{53989,
  author       = {{Aghayi, NAZILA and Tavana, Madjid and Maleki, Bentolhoda}},
  issn         = {{2345-3605}},
  journal      = {{Scientia Iranica}},
  pages        = {{0--0}},
  publisher    = {{SciTech Solutions}},
  title        = {{{A Malmquist Productivity Index with Directional Distance Function and Uncertain Data}}},
  doi          = {{10.24200/sci.2018.5259.1173}},
  year         = {{2019}},
}

@article{53991,
  author       = {{-, Shashi and Tavana, Madjid and Shabani, Amir and Singh, Rajwinder}},
  journal      = {{Journal of Industrial Engineering International}},
  number       = {{Suppl 1}},
  pages        = {{39--51}},
  title        = {{{The impact of interwoven integration practices on supply chain value addition and firm performance}}},
  doi          = {{https://doi.org/10.1007/s40092-019-0316-8}},
  volume       = {{15}},
  year         = {{2019}},
}

@article{53974,
  author       = {{Mousavi, Seyed Mohsen and Alikar, Najmeh and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{0956-5515}},
  journal      = {{Journal of Intelligent Manufacturing}},
  number       = {{3}},
  pages        = {{1175--1194}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An improved particle swarm optimization model for solving homogeneous discounted series-parallel redundancy allocation problems}}},
  doi          = {{10.1007/s10845-017-1311-9}},
  volume       = {{30}},
  year         = {{2019}},
}

@article{53971,
  author       = {{Zare, Habib and Tavana, Madjid and Mardani, Abbas and Masoudian, Sepideh and Kamali Saraji, Mahyar}},
  issn         = {{1386-9620}},
  journal      = {{Health Care Management Science}},
  number       = {{3}},
  pages        = {{475--488}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A hybrid data envelopment analysis and game theory model for performance measurement in healthcare}}},
  doi          = {{10.1007/s10729-018-9456-4}},
  volume       = {{22}},
  year         = {{2019}},
}

@article{53967,
  author       = {{Santos Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora and Toloo, Mehdi}},
  issn         = {{0377-2217}},
  journal      = {{European Journal of Operational Research}},
  number       = {{2}},
  pages        = {{448--462}},
  publisher    = {{Elsevier BV}},
  title        = {{{A dynamic multi-stage slacks-based measure data envelopment analysis model with knowledge accumulation and technological evolution}}},
  doi          = {{10.1016/j.ejor.2018.09.008}},
  volume       = {{278}},
  year         = {{2019}},
}

@article{53972,
  author       = {{Santos-Arteaga, Francisco J. and Torrecillas, Celia and Tavana, Madjid}},
  issn         = {{0892-9912}},
  journal      = {{The Journal of Technology Transfer}},
  number       = {{1}},
  pages        = {{97--131}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Dynamic effects of learning on the innovative outputs and productivity in Spanish multinational enterprises}}},
  doi          = {{10.1007/s10961-017-9597-5}},
  volume       = {{44}},
  year         = {{2019}},
}

@article{53970,
  author       = {{Talaei-Khoei, Amir and Tavana, Madjid and Wilson, James M.}},
  issn         = {{0933-3657}},
  journal      = {{Artificial Intelligence in Medicine}},
  publisher    = {{Elsevier BV}},
  title        = {{{A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases}}},
  doi          = {{10.1016/j.artmed.2019.101750}},
  volume       = {{101}},
  year         = {{2019}},
}

@article{53968,
  author       = {{Tavana, Madjid and Khanjani Shiraz, Rashed and Di Caprio, Debora}},
  issn         = {{0941-0643}},
  journal      = {{Neural Computing and Applications}},
  number       = {{S2}},
  pages        = {{931--945}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A chance-constrained portfolio selection model with random-rough variables}}},
  doi          = {{10.1007/s00521-017-3014-8}},
  volume       = {{31}},
  year         = {{2019}},
}

@article{53975,
  author       = {{Nasiri, Mohammad Mahdi and Ranjbar, Mojtaba and Tavana, Madjid and Santos Arteaga, Francisco J. and Yazdanparast, Reza}},
  issn         = {{0266-4720}},
  journal      = {{Expert Systems}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{A novel hybrid method for selecting soccer players during the transfer season}}},
  doi          = {{10.1111/exsy.12342}},
  volume       = {{36}},
  year         = {{2019}},
}

@article{53973,
  author       = {{Aghayi, Nazila and Tavana, Madjid}},
  issn         = {{1735-5702}},
  journal      = {{Journal of Industrial Engineering International}},
  number       = {{1}},
  pages        = {{17--24}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A novel three-stage distance-based consensus ranking method}}},
  doi          = {{10.1007/s40092-018-0268-4}},
  volume       = {{15}},
  year         = {{2019}},
}

@article{53969,
  author       = {{Hajipour, Vahid and Tavana, Madjid and Di Caprio, Debora and Akhgar, Majid and Jabbari, Yasaman}},
  issn         = {{0307-904X}},
  journal      = {{Applied Mathematical Modelling}},
  pages        = {{673--699}},
  publisher    = {{Elsevier BV}},
  title        = {{{An optimization model for traceable closed-loop supply chain networks}}},
  doi          = {{10.1016/j.apm.2019.03.007}},
  volume       = {{71}},
  year         = {{2019}},
}

@article{53966,
  author       = {{Tavana, Madjid and Khosrojerdi, Ghasem and Mina, Hassan and Rahman, Amirah}},
  issn         = {{0149-7189}},
  journal      = {{Evaluation and Program Planning}},
  publisher    = {{Elsevier BV}},
  title        = {{{A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process}}},
  doi          = {{10.1016/j.evalprogplan.2019.101703}},
  volume       = {{77}},
  year         = {{2019}},
}

@inproceedings{5675,
  abstract     = {{When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system which we develop in joint cooperation with a disaster management authority and a software development company.}},
  author       = {{Rauchecker, Gerhard and Schryen, Guido}},
  booktitle    = {{Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management}},
  keywords     = {{Coordination of spontaneous volunteers, volunteer coordination system, decision support, scheduling optimization model, linear programming}},
  location     = {{Rochester, NY, USA}},
  title        = {{{Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief}}},
  year         = {{2018}},
}