R. Khanjani Shiraz, M. Tavana, and H. Fukuyama, “A joint chance-constrained data envelopment analysis model with random output data,”10.1007/s12351-019-00478-0__Operational Research, vol. 21, no. 2, pp. 1255–1277, 2021, doi:10.1007/s12351-019-00478-0 .

B. Alavi, M. Tavana, and H. Mina, “A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy,”10.1016/j.spc.2021.02.015__Sustainable Production and Consumption, vol. 27, pp. 905–920, 2021, doi:10.1016/j.spc.2021.02.015 .

M. Tavana, S. Nazari-Shirkouhi, and H. Farzaneh Kholghabad, “An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis,”10.1007/s10729-021-09550-8__Health Care Management Science, vol. 24, no. 4, pp. 768–785, 2021, doi:10.1007/s10729-021-09550-8 .

M. Tavana, A. Shaabani, and N. Valaei, “An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing,”10.1108/ijqrm-06-2019-0196__International Journal of Quality &; Reliability Management, vol. 38, no. 1, pp. 116–146, 2021, doi:10.1108/ijqrm-06-2019-0196 .

G. P. Soares, G. Tortorella, M. Bouzon, and M. Tavana, “A fuzzy maturity-based method for lean supply chain management assessment,”10.1108/ijlss-08-2020-0123__International Journal of Lean Six Sigma, vol. 12, no. 5, pp. 1017–1045, 2021, doi:10.1108/ijlss-08-2020-0123 .

M. Tavana, M. Toloo, N. Aghayi, and A. Arabmaldar, “A robust cross-efficiency data envelopment analysis model with undesirable outputs,”10.1016/j.eswa.2020.114117__Expert Systems with Applications, vol. 167, Art. no. 114117, 2021, doi:10.1016/j.eswa.2020.114117 .

D. Mancini, R. Lombardi, and M. Tavana, “Four research pathways for understanding the role of smart technologies in accounting,”10.1108/medar-03-2021-1258__Meditari Accountancy Research, vol. 29, no. 5, pp. 1041–1062, 2021, doi:10.1108/medar-03-2021-1258 .

M. Tavana, M. Izadikhah, M. Toloo, and R. Roostaee, “A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures,”10.1016/j.omega.2020.102355__Omega, vol. 102, Art. no. 102355, 2021, doi:10.1016/j.omega.2020.102355 .

M. Tavana, K. Govindan, A. K. Nasr, M. S. Heidary, and H. Mina, “A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries,”10.1007/s10479-021-04130-z__Annals of Operations Research, 2021, doi:10.1007/s10479-021-04130-z .

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.

V. Hajipour, M. Tavana, F. J. Santos-Arteaga, A. Alinezhad, and D. Di Caprio, “An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness,”10.1093/jcde/qwaa039__Journal of Computational Design and Engineering, vol. 7, no. 4, pp. 469–488, 2020, doi:10.1093/jcde/qwaa039 .

A. A. Aziz, S. M. Mousavi, M. Tavana, and S. T. A. Niaki, “An investigation of the robustness in the Travelling Salesman problem routes using special structured matrices,”10.1080/23302674.2018.1551584__International Journal of Systems Science: Operations &; Logistics, vol. 7, no. 2, pp. 172–181, 2020, doi:10.1080/23302674.2018.1551584 .