Lehmann I, Acar E, Hasija T, et al. Multi-Task fMRI Data Fusion Using IVA and PARAFA. In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9747662
LibreCat: /record/49825
DOI: 10.1109/icassp43922.2022.9747662

Tavana M, Khalili Nasr A, Mina H, Michnik J. A private sustainable partner selection model for green public-private partnerships and regional economic development. Socio-Economic Planning Sciences. 2022;83. doi:10.1016/j.seps.2021.101189
LibreCat: /record/53238
DOI: 10.1016/j.seps.2021.101189

Tavana M, Azadmanesh A, Nasr AK, Mina H. A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry. Current Issues in Tourism. 2022;25(22):3709-3734. doi:10.1080/13683500.2021.2015299
LibreCat: /record/53240
DOI: 10.1080/13683500.2021.2015299

Khalili-Damghani K, Tavana M, Ghasemi P. A stochastic bi-objective simulation–optimization model for cascade disaster location-allocation-distribution problems. Annals of Operations Research. 2022;309(1):103-141. doi:10.1007/s10479-021-04191-0
LibreCat: /record/53241
DOI: 10.1007/s10479-021-04191-0

Tavana M, Shaabani A, Di Caprio D, Bonyani A. A novel Interval Type-2 Fuzzy best-worst method and combined compromise solution for evaluating eco-friendly packaging alternatives. Expert Systems with Applications. 2022;200. doi:10.1016/j.eswa.2022.117188
LibreCat: /record/53236
DOI: 10.1016/j.eswa.2022.117188

Tavana M, Kian H, Nasr AK, Govindan K, Mina H. A comprehensive framework for sustainable closed-loop supply chain network design. Journal of Cleaner Production. 2022;332. doi:10.1016/j.jclepro.2021.129777
LibreCat: /record/53237
DOI: 10.1016/j.jclepro.2021.129777

Tavana M, Ghasrikhouzani M, Abtahi A-R. A technology development framework for scenario planning and futures studies using causal modeling. Technology Analysis &; Strategic Management. 2022;34(8):859-875. doi:10.1080/09537325.2021.1931672
LibreCat: /record/53239
DOI: 10.1080/09537325.2021.1931672

Ebadi Torkayesh A, Tavana M, Santos-Arteaga FJ. A multi-distance interval-valued neutrosophic approach for social failure detection in sustainable municipal waste management. Journal of Cleaner Production. 2022;336. doi:10.1016/j.jclepro.2022.130409
LibreCat: /record/53242
DOI: 10.1016/j.jclepro.2022.130409

Pamucar D, Macura D, Tavana M, Boeani D, Kneeevi N. An integrated rough group multicriteria decision-making model for the ex-ante prioritization of infrastructure projects: The Serbian Railways case. Socio-Economic Planning Sciences. 2022;79. doi:10.1016/j.seps.2021.101098
LibreCat: /record/53249
DOI: 10.1016/j.seps.2021.101098

Pamucar D, Deveci M, Gokasar I, Tavana M, Köppen M. A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms. Technological Forecasting and Social Change. 2022;182. doi:10.1016/j.techfore.2022.121778
LibreCat: /record/53246
DOI: 10.1016/j.techfore.2022.121778

Shahvari O, Logendran R, Tavana M. An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems. Journal of Scheduling. 2022;25(5):589-621. doi:10.1007/s10951-022-00729-7
LibreCat: /record/53247
DOI: 10.1007/s10951-022-00729-7

Ebrahimnejad A, Tavana M, Charles V. Analytics under uncertainty: a novel method for solving linear programming problems with trapezoidal fuzzy variables. Soft Computing. 2022;26(1):327-347. doi:10.1007/s00500-021-06389-7
LibreCat: /record/53248
DOI: 10.1007/s00500-021-06389-7

Vafadarnikjoo A, Tavana M, Chalvatzis K, Botelho T. A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains. Socio-Economic Planning Sciences. 2022;80. doi:10.1016/j.seps.2021.101156
LibreCat: /record/53243
DOI: 10.1016/j.seps.2021.101156

Di Caprio D, Santos-Arteaga FJ, Tavana M. A new algorithm for modeling online search behavior and studying ranking reliability variations. Applied Intelligence. 2022;52(7):7529-7549. doi:10.1007/s10489-021-02856-8
LibreCat: /record/53250
DOI: 10.1007/s10489-021-02856-8

Di Caprio D, Santos-Arteaga FJ, Tavana M. An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments. Expert Systems with Applications. 2022;191. doi:10.1016/j.eswa.2021.116352
LibreCat: /record/53244
DOI: 10.1016/j.eswa.2021.116352

Moazzeni S, Tavana M, Mostafayi Darmian S. A dynamic location-arc routing optimization model for electric waste collection vehicles. Journal of Cleaner Production. 2022;364. doi:10.1016/j.jclepro.2022.132571
LibreCat: /record/53245
DOI: 10.1016/j.jclepro.2022.132571

Tavana M, Nazari-Shirkouhi S, Mashayekhi A, Mousakhani S. An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers. Operations Research Forum. 2022;3(1). doi:10.1007/s43069-022-00132-0
LibreCat: /record/53253
DOI: 10.1007/s43069-022-00132-0

Afrasiabi A, Tavana M, Di Caprio D. An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environmental Science and Pollution Research. 2022;29(25):37291-37314. doi:10.1007/s11356-021-17851-2
LibreCat: /record/53251
DOI: 10.1007/s11356-021-17851-2

Santos-Arteaga FJ, Tavana M, Di Caprio D. Information acquisition and assimilation capacities as determinants of technological niche markets. Journal of Innovation &; Knowledge. 2022;7(3). doi:10.1016/j.jik.2022.100193
LibreCat: /record/53252
DOI: 10.1016/j.jik.2022.100193

Jabbari M, Tavana M, Fattahi P, Daneshamooz F. A parameter tuned hybrid algorithm for solving flow shop scheduling problems with parallel assembly stages. Sustainable Operations and Computers. 2022;3:22-32. doi:10.1016/j.susoc.2021.09.002
LibreCat: /record/53255
DOI: 10.1016/j.susoc.2021.09.002

Hashemi SE, Tavana M, Bakhshi M. A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering. SN Computer Science. 2022;3(4). doi:10.1007/s42979-022-01208-8
LibreCat: /record/53256
DOI: 10.1007/s42979-022-01208-8

Tavana M, Shaabani A, Raeesi Vanani I, Kumar Gangadhari R. A Review of Digital Transformation on Supply Chain Process Management Using Text Mining. Processes. 2022;10(5). doi:10.3390/pr10050842
LibreCat: /record/53254
DOI: 10.3390/pr10050842

Letmathe S, Feng Y, Uhde A. Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall. Journal of Risk. doi:10.21314/JOR.2022.044
LibreCat: /record/29317
DOI: 10.21314/JOR.2022.044

Ködding P, Dumitrescu R. Szenario-Technik mit digitalen Technologien. In: Hartmann EA, ed. Digitalisierung Souverän Gestalten II. ; 2022.
LibreCat: /record/47831

Daniel-Söltenfuß D, Kremer H-H, Kückmann M-A. Innovations- und Transferprozesse in der beruflichen Bildung als Forschungs- und Entwicklungsgegenstand. Zeitschrift für Berufs- und Wirtschaftspädagogik. 2022;118(4):684-697. doi:10.25162/zbw-2022-0026
LibreCat: /record/47628
DOI: 10.25162/zbw-2022-0026

Kückmann M-A. Lehr- und Lernpraktiken in Zeiten von Corona. Von der technologischen zur didaktischen Transformation . In: Heisler D, Meier JA, eds. Berufsausbildung Zwischen Hygienemaßnahmen Und Lockdown(s). Folgen Für Die Schulische Und Außerschulische Berufsausbildung, in Schule, Im Betrieb Und Bei Bildungsträgern. ; 2022. doi: 10.3278/9783763972579
LibreCat: /record/53559
DOI:  10.3278/9783763972579

Malik SN, Rezat S. Linguistic features of word problems that cause difficulties for learners across the curriculum: A literature review. In: Proceedings on the Twelfth Congress on the European Society for Research in Mathematics Education (CERME 12). ERME / Free University of Bozen-Bolzano; 2022.
LibreCat: /record/53480

Rezat S, Malik SN, Leifeld M. Scaffolding Close Reading of Mathematical Text in Pre-service Primary Teacher Education at the Tertiary Level: Design and Evaluation. International Journal of Science and Mathematics Education. 2022;20():215-236. doi:10.1007/s10763-022-10309-y
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DOI: 10.1007/s10763-022-10309-y

Dröse J, Griese B, Wessel L. Prospective teachers’ diagnostic judgments on students’ understanding of conditional probabilities. In: Twelfth Congress of the European Society for Research in Mathematics Education (CERM). ; 2022.
LibreCat: /record/48389

Dellori A, Wessel L. Entwicklung und Erprobung von professionsorientierten Lernumgebungen zur Wissensvernetzung in der Algebra. Beiträge zum Mathematikunterricht 2022. Published online 2022:665-668. doi:10.17877/DE290R-23598
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DOI: 10.17877/DE290R-23598

Dellori A, Wessel L. Design principles for intertwining local and nonlocal mathematics - The case of relating registers and representations in abstract algebra. In: Trigueros M, Barquero B, Hochmuth R, Peters J, eds. Proceedings of INDRUM2022. ; 2022:572-573.
LibreCat: /record/48385

Dellori A, Wessel L. Pre-service Teachers’ Professional Development: Relating Abstract Algebra and School Algebra. In: Karunakaran SS, Higgins A, eds. Proceedings of the 24th Annual Conference on Research in Undergraduate Mathematics Education. MA; 2022:1177.
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Wessel L, Dröse J. Schreiben will gelernt sein: Schreiblerngelegenheiten adaptiv gestalten. mathematik lehren. 2022;233:33-36.
LibreCat: /record/48408

Röglinger M, Plattfaut R, Borghoff V, et al. Exogenous Shocks and Business Process Management. Business &; Information Systems Engineering. 2022;64(5):669-687. doi:10.1007/s12599-021-00740-w
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DOI: 10.1007/s12599-021-00740-w

Nieszporek R, Griese B, Biehler R. Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, eds. Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education; 2022. doi:10.52041/iase.icots11.t4b2
LibreCat: /record/35696
DOI: 10.52041/iase.icots11.t4b2

Biehler R. Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, eds. Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education; 2022. doi:10.52041/iase.icots11.t1a2
LibreCat: /record/34919
DOI: 10.52041/iase.icots11.t1a2

Biehler R, De Veaux R, Engel J, Kazak S, Frischemeier D. Editorial: Research on Data Science Education. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.606
LibreCat: /record/34920
DOI: 10.52041/serj.v21i2.606

Biehler R, Langlotz H, Zappe W. Alles normal?! Daten auf Normalverteilung prüfen–mit schulischen Mitteln. mathematik lehren. 2022;2022(232):41–45.
LibreCat: /record/35718

Biehler R, Griese B. Modellieren im Stochastikunterricht: Annahmen hinterfragen, Ergebnisse validieren. mathematik lehren. 2022;2022(232):2–6.
LibreCat: /record/35926

Fleischer Y, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
LibreCat: /record/35672
DOI: 10.52041/serj.v21i2.61

Griese B, Nieszporek R, Biehler R. Facilitators’ views on content goals, learning obstacles, and teaching resources in reference to conditional probability. In: ; 2022.
LibreCat: /record/39058

Lankeit E, Biehler R. Mathematik-Vorkurse zur Vorbereitung auf das Studium – Zielsetzungen und didaktische Konzepte. In: Hochmuth R, Biehler R, Liebendörfer M, Schaper N, eds. Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse. Springer; 2022:117-141. doi:10.1007/978-3-662-64833-9_4
LibreCat: /record/42653
DOI: 10.1007/978-3-662-64833-9_4

Liebendörfer M, Göller R, Gildehaus L, et al. The role of learning strategies for performance in mathematics courses for engineers. International Journal of Mathematical Education in Science and Technology. 2022;53(5):1133-1152. doi:10.1080/0020739x.2021.2023772
LibreCat: /record/35685
DOI: 10.1080/0020739x.2021.2023772

Hochmuth R, Biehler R, Liebendörfer M, Schaper N, eds. Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse. Springer; 2022. doi:10.1007/978-3-662-64833-9
LibreCat: /record/42650
DOI: 10.1007/978-3-662-64833-9

Ridgway J, Campos P, Biehler R. Data Science, Statistics, and Civic Statistics: Education for a Fast Changing World. In: Statistics for Empowerment and Social Engagement. Springer International Publishing; 2022. doi:10.1007/978-3-031-20748-8_22
LibreCat: /record/43232
DOI: 10.1007/978-3-031-20748-8_22

Bauer T, Biehler R, Lankeit E. Mini-Aufgaben in mathematischen Übungsgruppen zur Analysis: Charakteristika von Aufgaben und Abstimmungsverhalten von Studierenden. In: Hochmuth R, Biehler R, Liebendörfer M, Schaper N, eds. Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse. Springer Berlin Heidelberg; 2022:515-543. doi:10.1007/978-3-662-64833-9_19
LibreCat: /record/42649
DOI: 10.1007/978-3-662-64833-9_19

Lankeit E, Biehler R. Vorkurse und ihre Wirkungen im Übergang Schule – Hochschule. In: Hochmuth R, Biehler R, Liebendörfer M, Schaper N, eds. Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse. Springer; 2022:293-363. doi:10.1007/978-3-662-64833-9_12
LibreCat: /record/42652
DOI: 10.1007/978-3-662-64833-9_12

Liebendörfer M, Profeta A, Krämer S, et al. Enriching videos with interactive questions to enhance students’ cognitive activity: concept and implementation. In: ; 2022.
LibreCat: /record/39062

Schürmann M, Büdenbender-Kuklinski C, Lankeit E, et al. Dokumentation Der Erhebungsinstrumente Des Projekts WiGeMath. LibreCat University; 2022. doi:10.17170/KOBRA-202205176188
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DOI: 10.17170/KOBRA-202205176188

Hochmuth R, Biehler R, Schaper N, et al. Einführung in das WiGeMath-Projekt: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase. In: Reinhard H, Biehler R, Liebendörfer M, Schaper N, eds. Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse. Springer; 2022:3-31. doi:10.1007/978-3-662-64833-9_1
LibreCat: /record/42651
DOI: 10.1007/978-3-662-64833-9_1