@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}},
}

@inproceedings{5681,
  author       = {{Prester, Julian and Wagner, Gerit and Schryen, Guido}},
  booktitle    = {{Proceedings of the 2018 International Conference on Information Systems (ICIS 2018)}},
  location     = {{San Francisco, CA, USA}},
  title        = {{{Classifying the Ideational Impact of IS Review Articles: A Natural Language Processing Based Approach}}},
  year         = {{2018}},
}

@book{6164,
  author       = {{Schillinger, Rolf and Schryen, Guido}},
  isbn         = {{978-3-88246-374-3}},
  publisher    = {{University of Regensburg}},
  title        = {{{Security in Highly Connected IT Systems – Results of the Bavarian Research Alliance FORSEC}}},
  doi          = {{10.5283/epub.36264}},
  year         = {{2018}},
}

@article{5586,
  abstract     = {{The need to protect resources against attackers is reflected by huge information security investments of firms worldwide. In the presence of budget constraints and a diverse set of assets to protect, organizations have to decide in which IT security measures to invest, how to evaluate those investment decisions, and how to learn from past decisions to optimize future security investment actions. While the academic literature has provided valuable insights into these issues, there is a lack of empirical contributions. To address this lack, we conduct a theory-based exploratory multiple case study. Our case study reveals that (1) firms? investments in information security are largely driven by external environmental and industry-related factors, (2) firms do not implement standardized decision processes, (3) the security process is perceived to impact the business process in a disturbing way, (4) both the implementation of evaluation processes and the application of metrics are hardly existent and (5) learning activities mainly occur at an ad-hoc basis.}},
  author       = {{Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}},
  journal      = {{Computers & Security}},
  keywords     = {{Information Security Investments, Multiple Case Study, Organizations, Single Loop Learning, Double Loop Learning}},
  pages        = {{807 -- 823}},
  publisher    = {{Elsevier}},
  title        = {{{Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning}}},
  volume       = {{77}},
  year         = {{2018}},
}

@inproceedings{5600,
  author       = {{Schuster, Richard and Wagner, Gerit and Schryen, Guido}},
  booktitle    = {{Proceedings of the 2018 International Conference on Information Systems (ICIS 2018)}},
  location     = {{San Francisco, CA, USA}},
  title        = {{{Information Systems Design Science Research and Cumulative Knowledge Development: An Exploratory Study}}},
  year         = {{2018}},
}

@inbook{14856,
  author       = {{Hallmann, Corinna and Burmeister, Sascha Christian and Wissing, Michaela and Suhl, Leena}},
  booktitle    = {{Communications in Computer and Information Science}},
  isbn         = {{9783319962702}},
  issn         = {{1865-0929}},
  title        = {{{Heuristics and Simulation for Water Tank Optimization}}},
  doi          = {{10.1007/978-3-319-96271-9_5}},
  year         = {{2018}},
}

@inbook{14861,
  author       = {{Hallmann, Corinna and Kuhlemann, Stefan}},
  booktitle    = {{Operations Research Proceedings}},
  isbn         = {{9783319899190}},
  issn         = {{0721-5924}},
  title        = {{{Model Generator for Water Distribution Systems}}},
  doi          = {{10.1007/978-3-319-89920-6_34}},
  year         = {{2018}},
}

@article{54008,
  author       = {{Ebrahimi, Bohlool and Tavana, Madjid and Rahmani, Morteza and Santos-Arteaga, Francisco J.}},
  issn         = {{0941-0643}},
  journal      = {{Neural Computing and Applications}},
  number       = {{6}},
  pages        = {{1971--1982}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data}}},
  doi          = {{10.1007/s00521-016-2826-2}},
  volume       = {{30}},
  year         = {{2018}},
}

@article{54007,
  author       = {{Banakar, Zahra and Tavana, Madjid and Huff, Brian and Di Caprio, Debora}},
  issn         = {{0265-2323}},
  journal      = {{International Journal of Bank Marketing}},
  number       = {{4}},
  pages        = {{634--662}},
  publisher    = {{Emerald}},
  title        = {{{A bank merger predictive model using the Smoluchowski stochastic coagulation equation and reverse engineering}}},
  doi          = {{10.1108/ijbm-05-2017-0106}},
  volume       = {{36}},
  year         = {{2018}},
}

@article{54009,
  author       = {{Razavi Hajiagha, Seyed Hossein and Amoozad Mahdiraji, Hannan and Tavana, Madjid and Hashemi, Shide Sadat}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{569--581}},
  publisher    = {{Elsevier BV}},
  title        = {{{A novel common set of weights method for multi-period efficiency measurement using mean-variance criteria}}},
  doi          = {{10.1016/j.measurement.2018.07.061}},
  volume       = {{129}},
  year         = {{2018}},
}

@article{54012,
  author       = {{Mobin, Mohammadsadegh and Mousavi, Seyed Mohsen and Komaki, Mohammad and Tavana, Madjid}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  pages        = {{417--427}},
  publisher    = {{Elsevier BV}},
  title        = {{{A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms}}},
  doi          = {{10.1016/j.measurement.2017.10.009}},
  volume       = {{114}},
  year         = {{2018}},
}