Adopting Generative AI for Literature Reviews: An Epistemological Perspective
G. Schryen, M. Marrone, J. Yang, in: Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024), Oahu, Hawaii, USA, 2024.

A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response
H. Betke, M. Sperling, G. Schryen, S. Sackmann, in: Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024), Oahu, Hawaii, USA, 2024.

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

A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems
M. Stumpe, Transportation Research Procedia 78 (2024) 402–409.

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

An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction
A. Amiri, M. Tavana, H. Arman, Internet of Things 25 (2024).

Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing
E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, A.H.C. Ng, Journal of Manufacturing Systems 72 (2024) 287–307.

A systematic review of the soft computing methods shaping the future of the metaverse
M. Tavana, S. Sorooshian, Applied Soft Computing 150 (2024).

Distribution Network Optimization: Predicting computation times to design scenario analysis for network operators
S.C. Burmeister, G. Schryen, Energy Systems (2023).

Literature Reviews in Operations Research: A New Taxonomy and a Meta Review
G. Schryen, M. Sperling, Computers &; Operations Research 157 (2023).

Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework
P. Dieter, M. Caron, G. Schryen, European Journal of Operational Research (EJOR) 311 (2023) 283–300.

Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing
P. Dieter, M. Stumpe, M.W. Ulmer, G. Schryen, Transportation Research Part D 121 (2023).

A Regret Policy for the Dynamic Vehicle Routing Problem with Time Windows
P. Dieter, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2023.

A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs
S.C. Burmeister, D. Guericke, G. Schryen, Flexible Services and Manufacturing Journal (2023).

Digital Responsibility – a Multilevel Framework for Responsible Digitalization
D. Beverungen, D. Kundisch, M. Mirbabaie, O. Müller, G. Schryen, S.T.-N. Trang, M. Trier, Business &; Information Systems Engineering 65 (2023) 463–474.

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

An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks
M. Tavana, A. Khalili Nasr, A.B. Ahmadabadi, A.S. Amiri, H. Mina, Internet of Things 22 (2023).

Analytic hierarchy process and data envelopment analysis: A match made in heaven
M. Tavana, M. Soltanifar, F.J. Santos-Arteaga, H. Sharafi, Expert Systems with Applications 223 (2023).

A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems
M. Tavana, V. Hajipour, M. Alaghebandha, D. Di Caprio, Machine Learning with Applications 11 (2023).

A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA
M. Tavana, H. Mina, F.J. Santos-Arteaga, Journal of Business Research 154 (2023).