Rauchecker, G., &; Schryen, G. (2019). An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response. European Journal of Operational Research, 272(1), 352–363.

Rauchecker, G., &; Schryen, G. (2019). Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm. Computers &; Operations Research, (104), 338–357.

Schuhbeck, V., Siegfried, N., Dorner, V., Benlian, A., Scholz, M., &; Schryen, G. (2019). Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents. In Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik (pp. 55–64). Siegen, Germany.

Kuhlemann, S., Sellmann, M., &; Tierney, K. (2019). Exploiting Counterfactuals for Scalable Stochastic Optimization. In Lecture Notes in Computer Science. Cham.https://doi.org/10.1007/978-3-030-30048-7_40 

Schryen, G., Kliewer, N., Borndörfer, R., &; Koch, T. (2019). High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis. OR News, 65, 34–35.

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.

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.

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 

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.

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.

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 

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 

Aziz, H., Rauchecker, G., Schryen, G., &; Walsh, T. (2017). Algorithms for Max-Min Share Fair Allocation of Indivisible Chores. In Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) (Vol. 31, pp. 1–7). San Francisco, CA, USA.

Wagner, G., Prester, J., &; Schryen, G. (2017). Exploring the Scientific Impact of Information Systems Design Science Research: A Scientometric Study. In 38th International Conference on Information Systems. Seoul, South Korea.

Schryen, G., &; Hristova, D. (2017). High-Performance Business Computing - Effizienzsteigerung durch Parallelisierung. Smart Data Radar (Deutsche Bank).

Schryen, G., Benlian, A., Rowe, F., Shirley, G., Larsen, K., Petter, S.,  Yasasin, E. (2017). Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields? Communications of the AIS, 40, 557–569.

Scholz, M., Dorner, V., Schryen, G., &; Benlian, A. (2017). A configuration-based recommender system for supporting e-commerce decisions. European Journal of Operational Research, 259(1), 205–215.

Beckschäfer, M., Malberg, S., Tierney, K., &; Weskamp, C. (2017). Simulating Storage Policies for an Automated Grid-Based Warehouse System. In Lecture Notes in Computer Science. Cham.https://doi.org/10.1007/978-3-319-68496-3_31 

Rauchecker, G., &; Schryen, G. (2016). Projekt KUBAS: Koordination ungebundener Vor-Ort-Helfer. Im Einsatz, 23, 44–46.

Wagner, G., Prester, J., Roche, M., Benlian, A., &; Schryen, G. (2016). Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric Study. In International Conference on Information Systems.

Schryen, G., Wagner, G., &; Schlegel, A. (2016). Development of two novel face-recognition CAPTCHAs: a security and usability study. Computers &; Security, 60(July), 95–116.

Rauchecker, G., &; Schryen, G. (2015). High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic. In Australasian Conference on Information Systems (pp. 1–13).

Püschel, T., Schryen, G., Hristova, D., &; Neumann, D. (2015). Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty. European Journal of Operational Research, 244(2), 637–647.

Yasasin, E., &; Schryen, G. (2015). Requirements for IT Security Metrics - An Argumentation Theory Based Approach. In 23rd European Conference on Information Systems (ECIS 2015).

Weishäupl, E., Yasasin, E., &; Schryen, G. (2015). A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory. In International Conference on Information Systems.

Weishäupl, E., Yasasin, E., &; Schryen, G. (2015). IT Security Investments Through the Lens of the Resource-Based View: A new Theoretical Model and Literature Review. In 23rd European Conference on Information Systems (ECIS 2015).

Weishäupl, E., Kunz, M., Yasasin, E., Wagner, G., Prester, J., Schryen, G., &; Pernul, G. (2015). Towards an Economic Approach to Identity and Access Management Systems Using Decision Theory. In 2nd International Workshop on Security in highly connected IT Systems (SHCIS?15).

Schryen, G., &; Weishäupl, E. (2015). IT-Sicherheit: Ökonomisch Planen und Bewerten. Managementkompass, (2), 17–18.

Schryen, G., Wagner, G., &; Benlian, A. (2015). Theory of Knowledge for Literature Reviews: An Epistemological Model, Taxonomy and Empirical Analysis of IS Literature. In International Conference on Information Systems (ICIS).

Schryen, G., Rauchecker, G., &; Comes, M. (2015). Resource Planning in Disaster Response - Decision Support Models and Methodologies. Business &; Information Systems Engineering (BISE), 57(4), 243–259.

Schryen, G. (2015). Writing qualitative IS literature reviewsf? Guidelines for synthesis, interpretation and guidance of research. Communications of the AIS, 37(Art 12), 286–325.

Rauchecker, G., Yasasin, E., &; Schryen, G. (2014). A Decision Support System for IT Security Incident Management. In 11th International Conference on Trust, Privacy, and Security in Digital Business (TRUSTBUS).

Fink, A., Kliewer, N., Mattfeld, D., Mönch, L., Rothlauf, F., Schryen, G.,  Voß, S. (2014). Model-based Decision Support in Manufacturing and Service Networks. Business &; Information Systems Engineering (BISE), 6(1), 17–24.

Fink, A., Kliewer, N., Mattfeld, D., Mönch, L., Rothlauf, F., Schryen, G.,  Voß, S. (2014). Modellbasierte Entscheidungsunterstützung in Produktions- und Service-Netzwerken. Wirtschaftsinformatik, 56(1), 21–29.

Schryen, G. (2014). The Epistemological Impact of Literature Reviews in Information Systems Research.

Yasasin, E., Rauchecker, G., Prester, J., &; Schryen, G. (2014). A Fuzzy Security Investment Decision Support Model for Highly Distributed Systems. In 1st Workshop on Security in highly connected IT systems (SHCIS 14).

Wex, F., Schryen, G., Feuerriegel, S., &; Neumann, D. (2014). Emergency Response in Natural Disaster Management: Allocation and Scheduling of Rescue Units. European Journal of Operational Research.

Schryen, G., &; Wex, F. (2014). Risk Reduction in Natural Disaster Management Through Information Systems: A Literature review and an IS design science research agenda. International Journal of Information Systems for Crisis Response and Management (IJISCRAM), 6(1).

Schryen, G., &; Hristova, D. (2014). Duality in fuzzy linear programming: A survey. OR -Spectrum, 37(1), 1–48.

Schryen, G. (2014). Writing qualitative IS literature reviewsf? Guidelines for synthesis, interpretation and guidance of research. Communications of the AIS.

de Meer, H., Diener, M., Herkenhöner, R., Kucera, M., Niedermeier, M., Reisser, A.,  Yasasin, E. (2013). Sicherheitsherausforderungen in hochverteilten Systemen. PIK - Praxis Der Informationsverarbeitung Und Kommunikation, 36(3), 153–159.

Wex, F., &; Schryen, G. (2013). Effektiver Einsatz von Rettungskräften bei Naturkatastrophen - Modelle und Verfahren zur Entscheidungsunterstützung. Blick in Die Wissenschaft, (28), 27–32.

Wex, F., Schryen, G., &; Neumann, D. (2013). Assignments of Collaborative Rescue Units during Emergency Response. International Journal of Information Systems for Crisis Response and Management, 5(4), 63–80.

Wex, F., Schryen, G., &; Neumann, D. (2013). Decision Modeling for Assignments of Collaborative Rescue Units during Emergency Response. In Proceedings of the 46th Hawaii International Conference on System Science.

Schryen, G. (2013). Revisiting IS Business Value Research: What we already know, what we still need to know, and how we can get there. European Journal of Information Systems (EJIS), 22(2), 139–169.

Püschel, T., Schryen, G., Hristova, D., &; Neumann, D. (2012). Cloud Service Revenue Management. In European Conference on Information Systems.

Lang, F., Schryen, G., &; Fink, A. (2012). Elicitating, modeling, and processing uncertain human preferences for software agents in electronic negotiations: An empirical study. In International Conference on Information Systems.

Bodenstein, C., Schryen, G., &; Neumann, D. (2012). Energy-Aware Workload Management Models for Operating Cost Reduction in Data Centers. European Journal of Operational Researchf: EJOR, 222(1), 157–167.

Wex, F., Schryen, G., &; Neumann, D. (2012). A Fuzzy Decision Support Model for Natural Disaster Response under Informational Uncertainty. International Journal of Information Systems for Crisis Response and Management, 4(3), 23–41.

Wex, F., Schryen, G., &; Neumann, D. (2012). Operational Emergency Response under Informational Uncertainty: A Fuzzy Optimization Model for Scheduling and Allocating Rescue Units. In International Conference on Information Systems for Crisis Response and Management (ISCRAM) 2012.