C. Winkler, A. Fust, and T. Jenert, “From entrepreneurial experience to expertise: A self-regulated learning perspective,”10.1080/00472778.2021.1883041__Journal of Small Business Management, vol. 61, no. 4, pp. 2071–2096, 2021, doi:10.1080/00472778.2021.1883041 .
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T. Jenert, “Gestaltung von Studienangeboten. Konzepte, Modelle, Perspektiven,” in Handbuch Hochschuldidaktik, R. Kordts-Freudinger, N. Schaper, A. Scholkmann, and B. Szczyrba, Eds. Stuttgart: UTB, 2021, pp. 349–362.
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T. Jenert and T. Brahm, “The interplay of personal and contextual diversity during the first year at Higher Education: Combining a quantitative and a qualitative approach,”10.14786/flr.v9i2.669__Frontline Learning Research, vol. 9, no. 2, pp. 50–77, 2021, doi:10.14786/flr.v9i2.669 .
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T. Jenert, “Curriculumforschung,” in Handbuch TransdisziplinÃ¤re Didaktik, transcript Verlag, 2021, pp. 57–66.
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M. Diller, J. Lorenz, G. Schneider, and C. Sureth-Sloane, Is Consistency the Panacea? Inconsistent or Consistent Tax Transfer Prices with Strategic Taxpayer and Tax Authority Behavior. TRR 266 Accounting for Transparency Working Paper Series No. 57, 2021.
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T. Hoppe, D. Schanz, S. Sturm, and C. Sureth-Sloane, The Tax Complexity Index – A Survey-Based Country Measure of Tax Code and Framework Complexity. 2021.
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S. T. Wengerek and A. Uhde, Share Price Reactions to Tariû00 Imposition Announcements in the Trump Era – an Event Study of the Trade Conû02ict. 2021.
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B. Hippert and A. Uhde, CDS investors’ risk perceptions of M&;A announcements. 2021.
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B. Hippert, A. Uhde, and S. T. Wengerek, Risk allocation through securitization - Evidence from non-performing loans. 2021.
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D. Beverungen, D. Kundisch, and N. Wünderlich, “Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers,”10.1108/JOSM-03-2020-0066__Journal of Service Management, vol. 32, no. 4, pp. 507–532, 2021, doi:10.1108/JOSM-03-2020-0066 .
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M. Fochmann, V. Heile, H.-P. Huber, R. Maiterth, and C. Sureth-Sloane, Tax Burden on German Companies – Income Tax Burden and Administrative Costs. 2021.
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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