D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii International Conference on System Sciences, 2023.

D. Leffrang, “AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization,” in International Conference on Information Systems, Hyderabad, India, 2023, no. 10.

D. Leffrang, “The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization,” in Wirtschaftsinformatik Conference, Paderborn, 2023, no. 19.

H. Halimeh, F. Freese, and O. Müller, “Event Recommendations through the Lens of Vision and Language Foundation Models,” presented at the Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference on Recommender Systems, 2023.

H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,” presented at the Hawaii International Conference on System Sciences, 2023.

R. Reimann and M. Caron, “Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach,” presented at the Wirtschaftsinformatik, Paderborn, Germany, 2023.

L. Knorr, A. Jungeilges, F. Pfeifer, S. C. Burmeister, and H. Meschede, Regenerative Energien für einen effizienten Betrieb von Presshärtelinien. Aachen: 4. Aachener Ofenbau- und Thermoprozess-Kolloquium, 2023.

K. Brennig and O. Müller, “More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency,” presented at the  56th Hawaii International Conference on System Sciences, Lhain, 2023.

J. Brock et al., “A Process Mining Maturity Model: Enabling Organizations to Assess and Improve their Process Mining Activities,” 2023.

K. Brennig, K. Benkert, B. Löhr, and O. Müller, “Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?,” in Business Process Management Workshops, 2023.

C. Bartelheimer, V. Wolf, and D. Beverungen, “Workarounds as generative mechanisms for bottomup process innovation—Insights from a multiple case study,”10.1111/isj.12435__Information Systems Journal, vol. 33, no. 5, pp. 1085–1150, 2023, doi:10.1111/isj.12435 .

J. Seutter, K. Kutzner, M. Stadtländer, D. Kundisch, and  R. Knackstedt, “‘Sorry, Too Much Information’. Designing Online Review Systems that Support Information Search and Processing,” Electronic Markets, vol. 33, no. 1, p. 47, 2023.

J. Seutter, M. Müller, and D. Kundisch, “Verdrängen Smart-Product-Service-Systeme die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community,” Wirtschaftsinformatik &; Management, vol. 15, no. 4, pp. 282–289, 2023.

M. Althaus, N. Grieger, C. Vorbohle, M. Müller, and D. Kundisch, “Business Models for Cultural Event Platforms - A Taxonomy Approach,” presented at the The 15th Mediterranean Conference on Information Systems (MCIS), The 6th Middle East &; North Africa Conference on digital Information Systems (MENACIS), Madrid, Spanien.

M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks,”10.1016/j.iot.2023.100786__Internet of Things, vol. 22, Art. no. 100786, 2023, doi:10.1016/j.iot.2023.100786 .

M. Tavana, M. Soltanifar, F. J. Santos-Arteaga, and H. Sharafi, “Analytic hierarchy process and data envelopment analysis: A match made in heaven,”10.1016/j.eswa.2023.119902__Expert Systems with Applications, vol. 223, Art. no. 119902, 2023, doi:10.1016/j.eswa.2023.119902 .

M. Tavana, V. Hajipour, M. Alaghebandha, and D. Di Caprio, “A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems,”10.1016/j.mlwa.2022.100445__Machine Learning with Applications, vol. 11, Art. no. 100445, 2023, doi:10.1016/j.mlwa.2022.100445 .

M. Tavana, H. Mina, and F. J. Santos-Arteaga, “A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA,”10.1016/j.jbusres.2022.08.036__Journal of Business Research, vol. 154, Art. no. 113272, 2023, doi:10.1016/j.jbusres.2022.08.036 .

M. Tavana, M. Soltanifar, and F. J. Santos-Arteaga, “Analytical hierarchy process: revolution and evolution,”10.1007/s10479-021-04432-2__Annals of Operations Research, vol. 326, no. 2, pp. 879–907, 2023, doi:10.1007/s10479-021-04432-2 .

M. Tavana, M. S. Heidary, and H. Mina, “A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA,”10.1016/j.asoc.2023.110572__Applied Soft Computing, vol. 145, Art. no. 110572, 2023, doi:10.1016/j.asoc.2023.110572 .