M. Tavana, S. Nazari-Shirkouhi, A. Mashayekhi, and S. Mousakhani, “An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers,”10.1007/s43069-022-00132-0__Operations Research Forum, vol. 3, no. 1, Art. no. 17, 2022, doi:10.1007/s43069-022-00132-0 .

A. Afrasiabi, M. Tavana, and D. Di Caprio, “An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection,”10.1007/s11356-021-17851-2__Environmental Science and Pollution Research, vol. 29, no. 25, pp. 37291–37314, 2022, doi:10.1007/s11356-021-17851-2 .

F. J. Santos-Arteaga, M. Tavana, and D. Di Caprio, “Information acquisition and assimilation capacities as determinants of technological niche markets,”10.1016/j.jik.2022.100193__Journal of Innovation &; Knowledge, vol. 7, no. 3, Art. no. 100193, 2022, doi:10.1016/j.jik.2022.100193 .

M. Jabbari, M. Tavana, P. Fattahi, and F. Daneshamooz, “A parameter tuned hybrid algorithm for solving flow shop scheduling problems with parallel assembly stages,”10.1016/j.susoc.2021.09.002__Sustainable Operations and Computers, vol. 3, pp. 22–32, 2022, doi:10.1016/j.susoc.2021.09.002 .

S. E. Hashemi, M. Tavana, and M. Bakhshi, “A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering,”10.1007/s42979-022-01208-8__SN Computer Science, vol. 3, no. 4, Art. no. 311, 2022, doi:10.1007/s42979-022-01208-8 .

M. Tavana, A. Shaabani, I. Raeesi Vanani, and R. Kumar Gangadhari, “A Review of Digital Transformation on Supply Chain Process Management Using Text Mining,”10.3390/pr10050842__Processes, vol. 10, no. 5, Art. no. 842, 2022, doi:10.3390/pr10050842 .

J. Kirchhoff, S. C. Burmeister, C. Weskamp, and G. Engels, “Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning,” in Energy Informatics and Electro Mobility ICT, 2021.

J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach,” Decision Support Systems, vol. 140, no. January, Art. no. 113432, 2021.

G. Wagner et al., “Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study,” Information &; Management, vol. 58, no. 3, Art. no. 103427, 2021.

M. Stumpe, D. Rößler, G. Schryen, and N. 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, vol. 10, Art. no. 100049, 2021, doi:https://doi.org/10.1016/j.ejtl.2021.100049 .

G. Wagner, J. Prester, and G. Schryen, “Exploring the Scientific Impact of Information Systems Design Science Research,” Communications of the Association for Information Systems, vol. 48, no. 1, Art. no. 37, 2021.

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

G. Wagner, P. Empl, and G. Schryen, “Designing a Novel Strategy for Exploring Literature Corpora,” in 28th European Conference on Information Systems (ECIS 2020), Marrakesh, Morocco, 2020.

G. Schryen, “Integrating Management Science into the HPC Research Ecosystem,” Communications of the ACM, vol. 63, no. 9, pp. 35–37, 2020.

G. Schryen, N. Kliewer, and A. Fink, “Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges",” Business &; Information Systems Engineering, vol. 62, no. 01/2020, pp. 21–23, 2020.

G. Schryen, “Parallel computational optimization in operations research: A new integrative framework, literature review and research directions,” European Journal of Operational Research, vol. 287, no. 1, pp. 1–18, 2020.

E. Szubartowicz and G. Schryen, “Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements,” Journal of Information System Security, vol. 16, no. 1, pp. 3–31, 2020.

G. Schryen, G. Wagner, A. Benlian, and G. Paré, “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field,”10.17705/1CAIS.04607__Communications of the AIS, vol. 46, pp. 134–186, 2020, doi:10.17705/1CAIS.04607 .

G. Schryen, N. Kliewer, and A. Fink, “High Performance Business Computing,”10.1007/s12599-019-00622-2__Business &; Information Systems Engineering, vol. 62, no. 1, pp. 1–3, 2020, doi:10.1007/s12599-019-00622-2 .

E. Yasasin, J. Prester, G. Wagner, and G. Schryen, “Forecasting IT Security Vulnerabilities - An Empirical Analysis,” Computers &; Security, vol. 88, no. January, 2020.