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.

M. Tavana, H. Mousavi, A. Khalili Nasr, and H. Mina, “A fuzzy weighted influence non-linear gauge system with application to advanced technology assessment at NASA,”10.1016/j.eswa.2021.115274__Expert Systems with Applications, vol. 182, Art. no. 115274, 2021, doi:10.1016/j.eswa.2021.115274 .

M. Tavana, M. Izadikhah, R. Farzipoor Saen, and R. Zare, “An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management,”10.1007/s11356-020-10353-7__Environmental Science and Pollution Research, vol. 28, no. 1, pp. 664–682, 2021, doi:10.1007/s11356-020-10353-7 .

M. Tavana, A. Shaabani, F. J. Santos-Arteaga, and N. Valaei, “An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics,”10.1007/s11356-021-14302-w__Environmental Science and Pollution Research, vol. 28, no. 38, pp. 53953–53982, 2021, doi:10.1007/s11356-021-14302-w .

M. Tavana, A. Shaabani, S. Mansouri Mohammadabadi, and N. Varzgani, “An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection,”10.1080/23302674.2020.1737754__International Journal of Systems Science: Operations &; Logistics, vol. 8, no. 3, pp. 238–261, 2021, doi:10.1080/23302674.2020.1737754 .

B. Ebrahimi, M. Tavana, A. Kleine, and A. Dellnitz, “An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors,”10.1007/s00291-021-00649-6__OR Spectrum, vol. 43, no. 4, pp. 1103–1124, 2021, doi:10.1007/s00291-021-00649-6 .

M. Tavana, A. Shaabani, D. Di Caprio, and A. Bonyani, “An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains,”10.1016/j.clscn.2021.100009__Cleaner Logistics and Supply Chain, vol. 2, Art. no. 100009, 2021, doi:10.1016/j.clscn.2021.100009 .

M. Tavana, H. Tohidi, M. Alimohammadi, and R. Lesansalmasi, “A location-inventory-routing model for green supply chains with low-carbon emissions under uncertainty,”10.1007/s11356-021-13815-8__Environmental Science and Pollution Research, vol. 28, no. 36, pp. 50636–50648, 2021, doi:10.1007/s11356-021-13815-8 .

A. Khalili Nasr, M. Tavana, B. Alavi, and H. Mina, “A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains,”10.1016/j.jclepro.2020.124994__Journal of Cleaner Production, vol. 287, Art. no. 124994, 2021, doi:10.1016/j.jclepro.2020.124994 .

M. Tavana, A. Shaabani, D. Di Caprio, and M. Amiri, “An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains,”10.1016/j.susoc.2021.07.008__Sustainable Operations and Computers, vol. 2, pp. 149–169, 2021, doi:10.1016/j.susoc.2021.07.008 .

B. Ebrahimi, M. Tavana, and V. Charles, “A note and new extensions on ‘interval efficiency measures in data envelopment analysis with imprecise data,’”10.1007/s12351-019-00524-x__Operational Research, 2021, doi:10.1007/s12351-019-00524-x .

E. A. R. de Campos, M. Tavana, C. S. ten Caten, M. Bouzon, and I. C. de Paula, “A grey-DEMATEL approach for analyzing factors critical to the implementation of reverse logistics in the pharmaceutical care process,”10.1007/s11356-020-11138-8__Environmental Science and Pollution Research, vol. 28, no. 11, pp. 14156–14176, 2021, doi:10.1007/s11356-020-11138-8 .

B. Aslani, M. Rabiee, and M. Tavana, “An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection,”10.1080/23302674.2020.1776414__International Journal of Systems Science: Operations &; Logistics, vol. 8, no. 4, pp. 348–370, 2021, doi:10.1080/23302674.2020.1776414 .

A. Al Hadwer, M. Tavana, D. Gillis, and D. Rezania, “A Systematic Review of Organizational Factors Impacting Cloud-based Technology Adoption Using Technology-Organization-Environment Framework,”10.1016/j.iot.2021.100407__Internet of Things, vol. 15, Art. no. 100407, 2021, doi:10.1016/j.iot.2021.100407 .

M. Rastegar, M. Tavana, A. Meraj, and H. Mina, “An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic,”10.1016/j.vaccine.2020.12.022__Vaccine, vol. 39, no. 3, pp. 495–504, 2021, doi:10.1016/j.vaccine.2020.12.022 .

H. Zare, M. Kamali Saraji, M. Tavana, D. Streimikiene, and F. Cavallaro, “An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization,”10.3390/su132212728__Sustainability, vol. 13, no. 22, Art. no. 12728, 2021, doi:10.3390/su132212728 .

S. Kazemi, M. Tavana, M. Toloo, and N. A. Zenkevich, “A common weights model for investigating efficiency-based leadership in the russian banking industry,”10.1051/ro/2020143__RAIRO - Operations Research, vol. 55, no. 1, pp. 213–229, 2021, doi:10.1051/ro/2020143 .

E. Gheisariha, M. Tavana, F. Jolai, and M. Rabiee, “A simulation–optimization model for solving flexible flow shop scheduling problems with rework and transportation,”10.1016/j.matcom.2020.08.019__Mathematics and Computers in Simulation, vol. 180, pp. 152–178, 2021, doi:10.1016/j.matcom.2020.08.019 .

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 .

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 .

F. J. Santos-Arteaga, M. Tavana, C. Torrecillas, and D. Di Caprio, “INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE,”10.3846/tede.2020.13521__Technological and Economic Development of Economy, vol. 26, no. 6, pp. 1366–1398, 2020, doi:10.3846/tede.2020.13521 .

M. Jafari Songhori, M. Tavana, and T. Terano, “Product development team formation: effects of organizational- and product-related factors,”10.1007/s10588-019-09302-8__Computational and Mathematical Organization Theory, vol. 26, no. 1, pp. 88–122, 2020, doi:10.1007/s10588-019-09302-8 .

M. A. Kaviani, M. Tavana, F. Kowsari, and R. Rezapour, “Supply chain resilience: a benchmarking model for vulnerability and capability assessment in the automotive industry,”10.1108/bij-01-2020-0049__Benchmarking: An International Journal, vol. 27, no. 6, pp. 1929–1949, 2020, doi:10.1108/bij-01-2020-0049 .

M. Tavana, A. Shaabani, F. Javier Santos-Arteaga, and I. Raeesi Vanani, “A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics,”10.3390/en13153947__Energies, vol. 13, no. 15, Art. no. 3947, 2020, doi:10.3390/en13153947 .

M. Tavana, V. Hajipour, and S. Oveisi, “IoT-based enterprise resource planning: Challenges, open issues, applications, architecture, and future research directions,”10.1016/j.iot.2020.100262__Internet of Things, vol. 11, Art. no. 100262, 2020, doi:10.1016/j.iot.2020.100262 .

M. Tavana, H. Amoozad Mahdiraji, M. Beheshti, and A. Abbasi Kamardi, “Optimal strategic alliance in multiechelon supply chains with open innovation,”10.1002/mde.3181__Managerial and Decision Economics, vol. 41, no. 7, pp. 1365–1384, 2020, doi:10.1002/mde.3181 .

M. Tavana and V. Hajipour, “A practical review and taxonomy of fuzzy expert systems: methods and applications,”10.1108/bij-04-2019-0178__Benchmarking: An International Journal, vol. 27, no. 1, pp. 81–136, 2020, doi:10.1108/bij-04-2019-0178 .

M. A. Kaviani, M. Tavana, A. Kumar, J. Michnik, R. Niknam, and E. A. R. de Campos, “An integrated framework for evaluating the barriers to successful implementation of reverse logistics in the automotive industry,”10.1016/j.jclepro.2020.122714__Journal of Cleaner Production, vol. 272, Art. no. 122714, 2020, doi:10.1016/j.jclepro.2020.122714 .

S. H. Hashemi Petrudi, M. Tavana, and M. Abdi, “A comprehensive framework for analyzing challenges in humanitarian supply chain management: A case study of the Iranian Red Crescent Society,”10.1016/j.ijdrr.2019.101340__International Journal of Disaster Risk Reduction, vol. 42, Art. no. 101340, 2020, doi:10.1016/j.ijdrr.2019.101340 .

H. Farughi, M. Tavana, S. Mostafayi, and F. J. Santos Arteaga, “A novel optimization model for designing compact, balanced, and contiguous healthcare districts,”10.1080/01605682.2019.1621217__Journal of the Operational Research Society, vol. 71, no. 11, pp. 1740–1759, 2020, doi:10.1080/01605682.2019.1621217 .

M. Yazdani, M. Tavana, D. Pamudar, and P. Chatterjee, “A rough based multi-criteria evaluation method for healthcare waste disposal location decisions,”10.1016/j.cie.2020.106394__Computers &;amp; Industrial Engineering, vol. 143, Art. no. 106394, 2020, doi:10.1016/j.cie.2020.106394 .

R. Khanjani Shiraz, M. Tavana, and H. Fukuyama, “A random-fuzzy portfolio selection DEA model using value-at-risk and conditional value-at-risk,”10.1007/s00500-020-05010-7__Soft Computing, vol. 24, no. 22, pp. 17167–17186, 2020, doi:10.1007/s00500-020-05010-7 .

B. Ebrahimi, A. Dellnitz, A. Kleine, and M. Tavana, “A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures,”10.1016/j.eswa.2020.113835__Expert Systems with Applications, vol. 164, Art. no. 113835, 2020, doi:10.1016/j.eswa.2020.113835 .