Tavana, Madjid, Mohsen Ghasrikhouzani, and Amir-Reza Abtahi. “A Technology Development Framework for Scenario Planning and Futures Studies Using Causal Modeling.”https://doi.org/10.1080/09537325.2021.1931672__Technology Analysis &; Strategic Management 34, no. 8 (2022): 859–75.https://doi.org/10.1080/09537325.2021.1931672 .

Ebadi Torkayesh, Ali, Madjid Tavana, and Francisco J. Santos-Arteaga. “A Multi-Distance Interval-Valued Neutrosophic Approach for Social Failure Detection in Sustainable Municipal Waste Management.”https://doi.org/10.1016/j.jclepro.2022.130409__Journal of Cleaner Production 336 (2022).https://doi.org/10.1016/j.jclepro.2022.130409 .

Pamucar, Dragan, Dragana Macura, Madjid Tavana, Darko Boeani, and Nikola Kneeevi. “An Integrated Rough Group Multicriteria Decision-Making Model for the Ex-Ante Prioritization of Infrastructure Projects: The Serbian Railways Case.”https://doi.org/10.1016/j.seps.2021.101098__Socio-Economic Planning Sciences 79 (2022).https://doi.org/10.1016/j.seps.2021.101098 .

Pamucar, Dragan, Muhammet Deveci, Ilgin Gokasar, Madjid Tavana, and Mario Köppen. “A Metaverse Assessment Model for Sustainable Transportation Using Ordinal Priority Approach and Aczel-Alsina Norms.”https://doi.org/10.1016/j.techfore.2022.121778__Technological Forecasting and Social Change 182 (2022).https://doi.org/10.1016/j.techfore.2022.121778 .

Shahvari, Omid, Rasaratnam Logendran, and Madjid Tavana. “An Efficient Model-Based Branch-and-Price Algorithm for Unrelated-Parallel Machine Batching and Scheduling Problems.”https://doi.org/10.1007/s10951-022-00729-7__Journal of Scheduling 25, no. 5 (2022): 589–621.https://doi.org/10.1007/s10951-022-00729-7 .

Ebrahimnejad, Ali, Madjid Tavana, and Vincent Charles. “Analytics under Uncertainty: A Novel Method for Solving Linear Programming Problems with Trapezoidal Fuzzy Variables.”https://doi.org/10.1007/s00500-021-06389-7__Soft Computing 26, no. 1 (2022): 327–47.https://doi.org/10.1007/s00500-021-06389-7 .

Vafadarnikjoo, Amin, Madjid Tavana, Konstantinos Chalvatzis, and Tiago Botelho. “A Socio-Economic and Environmental Vulnerability Assessment Model with Causal Relationships in Electric Power Supply Chains.”https://doi.org/10.1016/j.seps.2021.101156__Socio-Economic Planning Sciences 80 (2022).https://doi.org/10.1016/j.seps.2021.101156 .

Di Caprio, Debora, Francisco J. Santos-Arteaga, and Madjid Tavana. “A New Algorithm for Modeling Online Search Behavior and Studying Ranking Reliability Variations.”https://doi.org/10.1007/s10489-021-02856-8__Applied Intelligence 52, no. 7 (2022): 7529–49.https://doi.org/10.1007/s10489-021-02856-8 .

Di Caprio, Debora, Francisco J. Santos-Arteaga, and Madjid Tavana. “An Information Retrieval Benchmarking Model of Satisficing and Impatient Users’ Behavior in Online Search Environments.”https://doi.org/10.1016/j.eswa.2021.116352__Expert Systems with Applications 191 (2022).https://doi.org/10.1016/j.eswa.2021.116352 .

Moazzeni, Sahar, Madjid Tavana, and Sobhan Mostafayi Darmian. “A Dynamic Location-Arc Routing Optimization Model for Electric Waste Collection Vehicles.”https://doi.org/10.1016/j.jclepro.2022.132571__Journal of Cleaner Production 364 (2022).https://doi.org/10.1016/j.jclepro.2022.132571 .

Tavana, Madjid, Salman Nazari-Shirkouhi, Amir Mashayekhi, and Saeed Mousakhani. “An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers.”https://doi.org/10.1007/s43069-022-00132-0__Operations Research Forum 3, no. 1 (2022).https://doi.org/10.1007/s43069-022-00132-0 .

Afrasiabi, Ahmadreza, Madjid Tavana, and Debora Di Caprio. “An Extended Hybrid Fuzzy Multi-Criteria Decision Model for Sustainable and Resilient Supplier Selection.”https://doi.org/10.1007/s11356-021-17851-2__Environmental Science and Pollution Research 29, no. 25 (2022): 37291–314.https://doi.org/10.1007/s11356-021-17851-2 .

Santos-Arteaga, Francisco J., Madjid Tavana, and Debora Di Caprio. “Information Acquisition and Assimilation Capacities as Determinants of Technological Niche Markets.”https://doi.org/10.1016/j.jik.2022.100193__Journal of Innovation &; Knowledge 7, no. 3 (2022).https://doi.org/10.1016/j.jik.2022.100193 .

Jabbari, Mona, Madjid Tavana, Parviz Fattahi, and Fatemeh Daneshamooz. “A Parameter Tuned Hybrid Algorithm for Solving Flow Shop Scheduling Problems with Parallel Assembly Stages.”https://doi.org/10.1016/j.susoc.2021.09.002__Sustainable Operations and Computers 3 (2022): 22–32.https://doi.org/10.1016/j.susoc.2021.09.002 .

Hashemi, Seyed Emadedin, Madjid Tavana, and Maryam Bakhshi. “A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering.”https://doi.org/10.1007/s42979-022-01208-8__SN Computer Science 3, no. 4 (2022).https://doi.org/10.1007/s42979-022-01208-8 .

Tavana, Madjid, Akram Shaabani, Iman Raeesi Vanani, and Rajan Kumar Gangadhari. “A Review of Digital Transformation on Supply Chain Process Management Using Text Mining.”https://doi.org/10.3390/pr10050842__Processes 10, no. 5 (2022).https://doi.org/10.3390/pr10050842 .

Kirchhoff, Jonas, Sascha Christian Burmeister, Christoph Weskamp, and Gregor Engels. “Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning.” In Energy Informatics and Electro Mobility ICT, edited by Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof Weinhardt, and Oliver Werth, 2021.

Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems 140, no. January (2021).

Wagner, Gerit, Julian Prester, Maria Roche, Guido Schryen, Alexander Benlian, Guy Paré, and Mathieu Templier. “Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study.” Information &; Management 58, no. 3 (2021).

Stumpe, Miriam, David Rößler, Guido Schryen, and Natalia Kliewer. “Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules.”https://doi.org/10.1016/j.ejtl.2021.100049__EURO Journal on Transportation and Logistics 10 (2021).https://doi.org/10.1016/j.ejtl.2021.100049 .

Wagner, Gerit, Julian Prester, and Guido Schryen. “Exploring the Scientific Impact of Information Systems Design Science Research.” Communications of the Association for Information Systems 48, no. 1 (2021).

Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.

Wagner, Gerit, Philipp Empl, and Guido Schryen. “Designing a Novel Strategy for Exploring Literature Corpora.” In 28th European Conference on Information Systems (ECIS 2020), 2020.

Schryen, Guido. “Integrating Management Science into the HPC Research Ecosystem.” Communications of the ACM 63, no. 9 (2020): 35–37.

Schryen, Guido, Natalia Kliewer, and Andreas Fink. “Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges".” Business &; Information Systems Engineering 62, no. 01/2020 (2020): 21–23.

Schryen, Guido. “Parallel Computational Optimization in Operations Research: A New Integrative Framework, Literature Review and Research Directions.” European Journal of Operational Research 287, no. 1 (2020): 1–18.

Szubartowicz, Eva, and Guido Schryen. “Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements.” Journal of Information System Security 16, no. 1 (2020): 3–31.

Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field.”https://doi.org/10.17705/1CAIS.04607__Communications of the AIS 46 (2020): 134–86.https://doi.org/10.17705/1CAIS.04607 .

Schryen, Guido, Natalia Kliewer, and Andreas Fink. “High Performance Business Computing.”https://doi.org/10.1007/s12599-019-00622-2__Business &; Information Systems Engineering 62, no. 1 (2020): 1–3.https://doi.org/10.1007/s12599-019-00622-2 .

Yasasin, Emrah, Julian Prester, Gerit Wagner, and Guido Schryen. “Forecasting IT Security Vulnerabilities - An Empirical Analysis.” Computers &; Security 88, no. January (2020).

Rauchecker, Gerhard, and Guido Schryen. “An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response.” European Journal of Operational Research 272, no. 1 (2019): 352–63.

Rauchecker, Gerhard, and Guido Schryen. “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, no. 104 (2019): 338–57.

Schuhbeck, Veronika, Nils Siegfried, Verena Dorner, Alexander Benlian, Michael Scholz, and Guido Schryen. “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, 55–64. Siegen, Germany, 2019.

Kuhlemann, Stefan, Meinolf Sellmann, and Kevin Tierney. “Exploiting Counterfactuals for Scalable Stochastic Optimization.”https://doi.org/10.1007/978-3-030-30048-7_40__In Lecture Notes in Computer Science. Cham, 2019.https://doi.org/10.1007/978-3-030-30048-7_40 .

Schryen, Guido, Natalia Kliewer, Ralf Borndörfer, and Thorsten Koch. “High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis.” OR News 65 (2019): 34–35.

Rauchecker, Gerhard, and Guido Schryen. “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, 2018.

Prester, Julian, Gerit Wagner, and Guido Schryen. “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, 2018.

Schillinger, Rolf, and Guido Schryen. Security in Highly Connected IT Systems – Results of the Bavarian Research Alliance FORSEC. University of Regensburg, 2018.https://doi.org/10.5283/epub.36264 .

Weishäupl, Eva, Emrah Yasasin, and Guido Schryen. “Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning.” Computers &; Security 77 (2018): 807–23.

Schuster, Richard, Gerit Wagner, and Guido Schryen. “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, 2018.

Hallmann, Corinna, Sascha Christian Burmeister, Michaela Wissing, and Leena Suhl. “Heuristics and Simulation for Water Tank Optimization.”https://doi.org/10.1007/978-3-319-96271-9_5__In Communications in Computer and Information Science. Cham, 2018.https://doi.org/10.1007/978-3-319-96271-9_5 .

Hallmann, Corinna, and Stefan Kuhlemann. “Model Generator for Water Distribution Systems.”https://doi.org/10.1007/978-3-319-89920-6_34__In Operations Research Proceedings. Cham, 2018.https://doi.org/10.1007/978-3-319-89920-6_34 .

Aziz, Haris, Gerhard Rauchecker, Guido Schryen, and Toby Walsh. “Algorithms for Max-Min Share Fair Allocation of Indivisible Chores.” In Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 31:1–7, 2017.

Wagner, Gerit, Julian Prester, and Guido Schryen. “Exploring the Scientific Impact of Information Systems Design Science Research: A Scientometric Study.” In 38th International Conference on Information Systems, 2017.

Schryen, Guido, and Diana Hristova. “High-Performance Business Computing - Effizienzsteigerung Durch Parallelisierung.” Smart Data Radar (Deutsche Bank), 2017.

Schryen, Guido, Alexander Benlian, Frantz Rowe, Gregor Shirley, Kai Larsen, Stacie Petter, Guy Par\rquote e, Gerit Wagner, Steffi Haag, and Emrah Yasasin. “Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?” Communications of the AIS 40 (2017): 557–69.

Scholz, Michael, Verena Dorner, Guido Schryen, and Alexander Benlian. “A Configuration-Based Recommender System for Supporting e-Commerce Decisions.” European Journal of Operational Research 259, no. 1 (2017): 205–15.

Beckschäfer, Michaela, Simon Malberg, Kevin Tierney, and Christoph Weskamp. “Simulating Storage Policies for an Automated Grid-Based Warehouse System.”https://doi.org/10.1007/978-3-319-68496-3_31__In Lecture Notes in Computer Science. Cham, 2017.https://doi.org/10.1007/978-3-319-68496-3_31 .

Rauchecker, Gerhard, and Guido Schryen. “Projekt KUBAS: Koordination Ungebundener Vor-Ort-Helfer.” Im Einsatz 23 (2016): 44–46.

Wagner, Gerit, Julian Prester, Maria Roche, Alexander Benlian, and Guido Schryen. “Factors Affecting the Scientific Impact of Literature Reviews: A Scientometric Study.” In International Conference on Information Systems, 2016.