Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In Hawaii International Conference on System Sciences, 2023.

Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization.” In International Conference on Information Systems, 2023.

Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect of Unobserved Variables on Advice Utilization.” In Wirtschaftsinformatik Conference, 2023.

Halimeh, Haya, Florian Freese, and Oliver Müller. “Event Recommendations through the Lens of Vision and Language Foundation Models.” In Workshop on Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems, 2023.

Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” In Hawaii International Conference on System Sciences, 2023.

Reimann, Raphael, and Matthew Caron. “Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine Learning Approach.” In Wirtschaftsinformatik, 2023.

Knorr, Lukas, André Jungeilges, Florian Pfeifer, Sascha Christian Burmeister, and Henning Meschede. Regenerative Energien für einen effizienten Betrieb von Presshärtelinien. Aachen: 4. Aachener Ofenbau- und Thermoprozess-Kolloquium, 2023.

Brennig, Katharina, and Oliver Müller. “More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency.” In Hawaii International Conference on System Sciences, 2023.

Brock, Jonathan, Bernd Löhr, Katharina Brennig, Thilo Seger, Christian Bartelheimer, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “A Process Mining Maturity Model: Enabling Organizations to Assess and Improve Their Process Mining Activities.” In European Conference on Information Systems, 2023.

Brennig, Katharina, Kay Benkert, Bernd Löhr, and Oliver Müller. “Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?”https://doi.org/10.1007/978-3-031-50974-2_33__In Business Process Management Workshops, 2023.https://doi.org/10.1007/978-3-031-50974-2_33 .

Bartelheimer, Christian, Verena Wolf, and Daniel Beverungen. “Workarounds as Generative Mechanisms for Bottomup Process Innovation—Insights from a Multiple Case Study.”https://doi.org/10.1111/isj.12435__Information Systems Journal 33, no. 5 (2023): 1085–1150.https://doi.org/10.1111/isj.12435 .

Seutter, Janina, K. Kutzner, M. Stadtländer, Dennis Kundisch, and  R. Knackstedt. “‘Sorry, Too Much Information’. Designing Online Review Systems That Support Information Search and Processing.” Electronic Markets 33, no. 1 (2023): 47.

Seutter, Janina, Michelle Müller, and Dennis Kundisch. “Verdrängen Smart-Product-Service-Systeme die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community.” Wirtschaftsinformatik &; Management 15, no. 4 (2023): 282–89.

Althaus, Maike, Nicole Grieger, Christian Vorbohle, Michelle Müller, and Dennis Kundisch. “Business Models for Cultural Event Platforms - A Taxonomy Approach.” In Proceedings of the 15th Mediterranean Conference on Information Systems (MCIS), n.d.

Tavana, Madjid, Arash Khalili Nasr, Alireza Barati Ahmadabadi, Alireza Shamekhi Amiri, and Hassan Mina. “An Interval Multi-Criteria Decision-Making Model for Evaluating Blockchain-IoT Technology in Supply Chain Networks.”https://doi.org/10.1016/j.iot.2023.100786__Internet of Things 22 (2023).https://doi.org/10.1016/j.iot.2023.100786 .

Tavana, Madjid, Mehdi Soltanifar, Francisco J. Santos-Arteaga, and Hamid Sharafi. “Analytic Hierarchy Process and Data Envelopment Analysis: A Match Made in Heaven.”https://doi.org/10.1016/j.eswa.2023.119902__Expert Systems with Applications 223 (2023).https://doi.org/10.1016/j.eswa.2023.119902 .

Tavana, Madjid, Vahid Hajipour, Mohammad Alaghebandha, and Debora Di Caprio. “A Bi-Objective Hybrid Vibration Damping Optimization Model for Synchronous Flow Shop Scheduling Problems.”https://doi.org/10.1016/j.mlwa.2022.100445__Machine Learning with Applications 11 (2023).https://doi.org/10.1016/j.mlwa.2022.100445 .

Tavana, Madjid, Hassan Mina, and Francisco J. Santos-Arteaga. “A General Best-Worst Method Considering Interdependency with Application to Innovation and Technology Assessment at NASA.”https://doi.org/10.1016/j.jbusres.2022.08.036__Journal of Business Research 154 (2023).https://doi.org/10.1016/j.jbusres.2022.08.036 .

Tavana, Madjid, Mehdi Soltanifar, and Francisco J. Santos-Arteaga. “Analytical Hierarchy Process: Revolution and Evolution.”https://doi.org/10.1007/s10479-021-04432-2__Annals of Operations Research 326, no. 2 (2023): 879–907.https://doi.org/10.1007/s10479-021-04432-2 .

Tavana, Madjid, Mohammad Saeed Heidary, and Hassan Mina. “A Fuzzy Preference Programming and Weighted Influence Non-Linear Gauge System for Mission Architecture Assessment at NASA.”https://doi.org/10.1016/j.asoc.2023.110572__Applied Soft Computing 145 (2023).https://doi.org/10.1016/j.asoc.2023.110572 .