G. Schryen, M. Marrone, and J. Yang, “Adopting Generative AI for Literature Reviews: An Epistemological Perspective,” 2024.

H. Betke, M. Sperling, G. Schryen, and S. Sackmann, “A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response,” 2024.

G. Schryen, “Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis,” Journal of Parallel and Distributed Computing, 2024.

M. Stumpe, “A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems,”10.1016/j.trpro.2024.02.051__Transportation Research Procedia, vol. 78, pp. 402–409, 2024, doi:10.1016/j.trpro.2024.02.051 .

J. Seutter, M. Müller, S. J. M. Müller, and D. Kundisch, “Moment or movement – the heterogeneous impact of the Black Lives Matter movement on personal and societal charitable crowdfunding campaigns,” Internet Research.

D. R. A. Schallmo, D. Kundisch, K. Lang, and D. Hasler, Eds., Digitale Plattformen und Ökosysteme im B-Bereich - Fallstudien, Ansätze, Technologien und Tools. Wiesbaden: Springer Gabler, 2024.

M. Stumpe, P. Dieter, G. Schryen, O. Müller, and D. Beverungen, “Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study,” Transportation Research Part A: Policy and Practice, 2024.

C. Vorbohle and D. Kundisch, “Leveraging Business Modeling Tools For Ecosystemic Business Model Design,” Journal of Business Models, vol. 12, no. 1, pp. 100–112, 2024.

C. Ksouri-Gerwien and C. Vorbohle, “Anwendung von System Dynamics zur Geschäftsmodellinnovation in einem B-Ökosystem,” in Digitale Plattformen und Ökosysteme im B-Bereich, D. R. A. Schallmo, D. Kundisch, and K. Lang, Eds. Wiesbaden: Springer Gabler, 2024.

A. Amiri, M. Tavana, and H. Arman, “An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction,”10.1016/j.iot.2023.101027__Internet of Things, vol. 25, Art. no. 101027, 2024, doi:10.1016/j.iot.2023.101027 .

E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, and A. H. C. Ng, “Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing,”10.1016/j.jmsy.2023.11.019__Journal of Manufacturing Systems, vol. 72, pp. 287–307, 2024, doi:10.1016/j.jmsy.2023.11.019 .

M. Tavana and S. Sorooshian, “A systematic review of the soft computing methods shaping the future of the metaverse,”10.1016/j.asoc.2023.111098__Applied Soft Computing, vol. 150, Art. no. 111098, 2024, doi:10.1016/j.asoc.2023.111098 .

F. Wortmann, S. Kämmerling, S. Hemmrich, T. Gradert, and K. Ellermann, “Einführung,” in Digitale Plattformen im industriellen Mittelstand. Strategien, Methoden, Umsetzungsbeispiele, Berlin, Heidelberg: Springer Berlin Heidelberg, 2024.

S. Hemmrich, F. Wortmann, H. Lüttenberg, T. Gradert, S. Kämmerling, and M. Meyer, “Grundlagen,” in Digitale Plattformen im industriellen Mittelstand. Strategien, Methoden, Umsetzungsbeispiele, Berlin, Heidelberg: Springer Berlin Heidelberg, 2024.

M. Althaus, S. J. M. Müller, and D. Kundisch, “What Price Culture? – A Taxonomy of the Admission Pricing Policy at Museums,”10.1080/10286632.2023.2217198__International Journal of Cultural Policy, vol. 30, no. 3, pp. 392–407, 2024, doi:10.1080/10286632.2023.2217198 .

R. C. Nickerson, U. Varshney, J. Muntermann, and D. Kundisch, “Hierarchical Taxonomies in Information Systems,” presented at the Thirtieth Americas Conference on Information Systems (AMCIS), Salt Lake City, USA.

F. J. Santos-Arteaga et al., “On the Capacity of Artificial Intelligence Techniques and Statistical Methods to Deal with Low Quality Data in Medical Supply Chain Environments,” Engineering Applications of Artificial Intelligence, 2024.

M. Tavana, A. Bonyani, and T. Karimi, “A Full Ranking Method in Data Envelopment Analysis with Multi-Criteria Decision Analysis,” International Journal of Applied Management Science, 2024.

M. Setak, M. Tavana, and H. Talafi Daryani, “A Two-Level Supply Chain Coordination Model for Perishable Products under Optimal Markdown Time and Trade Credit Policies,” OPSEARCH, 2024.

M. Tavana, S. Sorooshian, M. Sarvarizadehkouhpaye, and H. Mina, “A Novel Fuzzy General Best-Worst Method for Considering Diversity and Inclusion in Supplier Selection Programs,” Annals of Operations Research, 2024.