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325 Publications
2018 | Conference Paper | LibreCat-ID: 5675 | 
Rauchecker, G., & Schryen, G. (2018). Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief. In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management. Rochester, NY, USA.
LibreCat
| Files available
2018 | Conference Paper | LibreCat-ID: 5681 |
Prester, J., Wagner, G., & Schryen, G. (2018). Classifying the Ideational Impact of IS Review Articles: A Natural Language Processing Based Approach. In Proceedings of the 2018 International Conference on Information Systems (ICIS 2018). San Francisco, CA, USA.
LibreCat
| Files available
2018 | Book | LibreCat-ID: 6164 |
Schillinger, R., & Schryen, G. (2018). Security in Highly Connected IT Systems – Results of the Bavarian Research Alliance FORSEC. University of Regensburg. https://doi.org/10.5283/epub.36264
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| DOI
2018 | Journal Article | LibreCat-ID: 5586 |
Weishäupl, E., Yasasin, E., & Schryen, G. (2018). Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning. Computers & Security, 77, 807–823.
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2018 | Conference Paper | LibreCat-ID: 5600 |
Schuster, R., Wagner, G., & Schryen, G. (2018). Information Systems Design Science Research and Cumulative Knowledge Development: An Exploratory Study. In Proceedings of the 2018 International Conference on Information Systems (ICIS 2018). San Francisco, CA, USA.
LibreCat
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2018 | Book Chapter | LibreCat-ID: 14856
Hallmann, C., Burmeister, S. C., Wissing, M., & Suhl, L. (2018). Heuristics and Simulation for Water Tank Optimization. In Communications in Computer and Information Science. Cham. https://doi.org/10.1007/978-3-319-96271-9_5
LibreCat
| DOI
2018 | Book Chapter | LibreCat-ID: 14861
Hallmann, C., & Kuhlemann, S. (2018). Model Generator for Water Distribution Systems. In Operations Research Proceedings. Cham. https://doi.org/10.1007/978-3-319-89920-6_34
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54008
Ebrahimi, B., Tavana, M., Rahmani, M., & Santos-Arteaga, F. J. (2018). Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data. Neural Computing and Applications, 30(6), 1971–1982. https://doi.org/10.1007/s00521-016-2826-2
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54007
Banakar, Z., Tavana, M., Huff, B., & Di Caprio, D. (2018). A bank merger predictive model using the Smoluchowski stochastic coagulation equation and reverse engineering. International Journal of Bank Marketing, 36(4), 634–662. https://doi.org/10.1108/ijbm-05-2017-0106
LibreCat
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2018 | Journal Article | LibreCat-ID: 54009
Razavi Hajiagha, S. H., Amoozad Mahdiraji, H., Tavana, M., & Hashemi, S. S. (2018). A novel common set of weights method for multi-period efficiency measurement using mean-variance criteria. Measurement, 129, 569–581. https://doi.org/10.1016/j.measurement.2018.07.061
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54012
Mobin, M., Mousavi, S. M., Komaki, M., & Tavana, M. (2018). A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms. Measurement, 114, 417–427. https://doi.org/10.1016/j.measurement.2017.10.009
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2018 | Journal Article | LibreCat-ID: 54010
Shiraz, R. K., Tavana, M., & Di Caprio, D. (2018). Chance-constrained data envelopment analysis modeling with random-rough data. RAIRO - Operations Research, 52(1), 259–284. https://doi.org/10.1051/ro/2016076
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2018 | Journal Article | LibreCat-ID: 54011
Chión, S. J., Charles, V., & Tavana, M. (2018). Impact of incentive schemes and personality-tradeoffs on two-agent coopetition with numerical estimations. Measurement, 125, 182–195. https://doi.org/10.1016/j.measurement.2018.03.075
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54001
Tavana, M., Zareinejad, M., & Santos-Arteaga, F. J. (2018). An intuitionistic fuzzy-grey superiority and inferiority ranking method for third-party reverse logistics provider selection. International Journal of Systems Science: Operations & Logistics, 5(2), 175–194. https://doi.org/10.1080/23302674.2016.1256448
LibreCat
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2018 | Journal Article | LibreCat-ID: 54003
Tavana, M., Santos-Arteaga, F. J., Mahmoodirad, A., Niroomand, S., & Sanei, M. (2018). Multi-stage supply chain network solution methods: hybrid metaheuristics and performance measurement. International Journal of Systems Science: Operations & Logistics, 5(4), 356–373. https://doi.org/10.1080/23302674.2017.1316877
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2018 | Journal Article | LibreCat-ID: 54000
Tavana, M., Khalili-Damghani, K., Di Caprio, D., & Oveisi, Z. (2018). An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems. Neural Computing and Applications, 30(1), 127–139. https://doi.org/10.1007/s00521-016-2676-y
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54002
Tavana, M., Caprio, D. D., & Santos-Arteaga, F. J. (2018). STRATEGIC SIGNALING AND NEW TECHNOLOGICALLY SUPERIOR PRODUCT INTRODUCTION: A GAME-THEORETIC MODEL WITH SIMULATION. Technological and Economic Development of Economy, 24(4), 1466–1498. https://doi.org/10.3846/tede.2018.4531
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2018 | Journal Article | LibreCat-ID: 54005
Izadikhah, M., Tavana, M., Di Caprio, D., & Santos-Arteaga, F. J. (2018). A novel two-stage DEA production model with freely distributed initial inputs and shared intermediate outputs. Expert Systems with Applications, 99, 213–230. https://doi.org/10.1016/j.eswa.2017.11.005
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54006
Esmaelian, M., Tavana, M., Santos-Arteaga, F. J., & Vali, M. (2018). A novel genetic algorithm based method for solving continuous nonlinear optimization problems through subdividing and labeling. Measurement, 115, 27–38. https://doi.org/10.1016/j.measurement.2017.09.034
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| DOI
2018 | Journal Article | LibreCat-ID: 53999
Tavana, M., Izadikhah, M., Di Caprio, D., & Farzipoor Saen, R. (2018). A new dynamic range directional measure for two-stage data envelopment analysis models with negative data. Computers & Industrial Engineering, 115, 427–448. https://doi.org/10.1016/j.cie.2017.11.024
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