@inproceedings{61528,
  author       = {{Hassan, Nik and Marrone, Mauricio and Schryen, Guido and Yang, Jack}},
  booktitle    = {{Proceedings of the 59th Hawaii International Conference on System Sciences}},
  title        = {{{Using Google’s Natural Language Model to Measure Growth of Knowledge in Information Systems Research}}},
  year         = {{2026}},
}

@article{54445,
  author       = {{Burmeister, Sascha Christian}},
  journal      = {{Croatian Operational Research Review}},
  number       = {{2}},
  title        = {{{A Memetic NSGA-III for Green Flexible Production with Real-Time Energy Costs & Emissions}}},
  doi          = {{10.17535/crorr.2025.0009}},
  volume       = {{16}},
  year         = {{2025}},
}

@article{58370,
  author       = {{Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}},
  journal      = {{Cleaner Energy Systems}},
  publisher    = {{Elsevier}},
  title        = {{{A two-level approach for multi-objective flexible job shop scheduling and energy procurement}}},
  doi          = {{10.1016/j.cles.2025.100178}},
  year         = {{2025}},
}

@unpublished{59670,
  author       = {{Burmeister, Sascha Christian and Rogalski, Till Niklas and Schryen, Guido}},
  pages        = {{8}},
  title        = {{{Comparative Analysis of Evolutionary Algorithms for Energy-Aware Production Scheduling}}},
  year         = {{2025}},
}

@article{55620,
  author       = {{Speckenmeyer, Philipp and Hilmer, Constanze and Rauchecker, Gerhard and Schryen, Guido}},
  journal      = {{Computers & Operations Research}},
  title        = {{{Parallel Branch-and-Price Algorithms for the Single Machine Total Weighted Tardiness Scheduling Problem with Sequence-Dependent Setup Times}}},
  doi          = {{https://dx.doi.org/10.2139/ssrn.4537436}},
  volume       = {{173}},
  year         = {{2025}},
}

@article{58150,
  author       = {{Schryen, Guido and Marrone, Mauricio and Yang, Jack}},
  journal      = {{Electronic Markets}},
  title        = {{{Exploring the Scope of Generative AI in Literature Review Development}}},
  year         = {{2025}},
}

@inproceedings{61368,
  author       = {{Stumpe, Miriam and Speckenmeyer, Philipp and Schryen, Guido and Kleinjohann, Lisa and Weskamp, Christoph}},
  booktitle    = {{Proceedings of the Thirty-first Americas Conference on Information Systems (AMCIS 2025)}},
  title        = {{{Planning a Swarm-Based Mobility System with Autonomous Vehicles for Sustainable and Flexible Transportation in Rural Areas}}},
  year         = {{2025}},
}

@inproceedings{61370,
  author       = {{Göbel, J. and Betke, H. and Boldt, J. and Tran, M. L. and Schryen, Guido}},
  booktitle    = {{Proceedings of the Thirty-first Americas Conference on Information Systems (AMCIS 2025)}},
  title        = {{{The Impact of Chatbot Familiarity and Frequency of Use on Human-Likeness}}},
  year         = {{2025}},
}

@article{61366,
  author       = {{Paré, Guy and Wagner, Gerit and Tate, Mary and Schryen, Guido and Templier, Mathieu}},
  issn         = {{0960-085X}},
  journal      = {{European Journal of Information Systems}},
  pages        = {{1--25}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire}}},
  doi          = {{10.1080/0960085x.2025.2550403}},
  year         = {{2025}},
}

@phdthesis{61916,
  abstract     = {{Diese Dissertation untersucht Optimierungsverfahren für die nachhaltige Gestaltung von Energiesystemen mit Schwerpunkt auf dem Elektrizitätssektor im Kontext der Energiewende. Aufbauend auf Methoden des Operations Research werden Planungs- und Steuerungsprobleme in den Bereichen Stromverteilnetze und energiebewusste Produktionsplanung adressiert. Die Arbeit umfasst fünf Beiträge: (P1) entwickelt ein lineares Multi-Commodity-Flow-Modell für die kostenoptimale Erweiterung großskaliger Verteilnetze unter Berücksichtigung von Resilienzszenarien und analysiert den Zusammenhang zwischen Modellparametern und Rechenzeiten; (P2) und (P3) befassen sich mit der mehrzielorientierten flexible Job Shop Scheduling-Optimierung unter Echtzeit-Strompreisen, wobei (P3) zusätzlich CO2-Emissionen als Zielgröße integriert; (P4) erweitert dieses Szenario um simultane Energiebeschaffungsentscheidungen aus Netz, erneuerbaren Quellen und Speichersystemen unter Unsicherheit mittels Rolling-Horizon-Ansatz; (P5) vergleicht unterschiedliche Klassen von Many-Objective Evolutionary Algorithms (dominanz-, indikatoren- und dekompositionsbasiert) im Hinblick auf Konvergenz, Diversität und Vollständigkeit der Paretofront. Die entwickelten Modelle und Algorithmen – darunter memetische Varianten von NSGA-II, NSGA-III, θ-DEA und HypE – werden durch umfassende Rechenexperimente evaluiert. Die Ergebnisse liefern praxisrelevante Handlungsempfehlungen für Netzbetreiber, produzierende Unternehmen und politische Entscheidungsträger und leisten einen Beitrag zur effizienten, zuverlässigen und emissionsarmen Energieversorgung der Zukunft.}},
  author       = {{Burmeister, Sascha Christian}},
  publisher    = {{LibreCat University}},
  title        = {{{Optimization Techniques for Sustainable Energy System Design}}},
  doi          = {{10.17619/UNIPB/1-2403}},
  year         = {{2025}},
}

@article{50301,
  author       = {{Schryen, Guido}},
  journal      = {{Journal of Parallel and Distributed Computing}},
  title        = {{{Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis}}},
  year         = {{2024}},
}

@article{52092,
  author       = {{Stumpe, Miriam}},
  issn         = {{2352-1465}},
  journal      = {{Transportation Research Procedia}},
  pages        = {{402--409}},
  publisher    = {{Elsevier BV}},
  title        = {{{A new mathematical formulation for the simultaneous optimization of charging infrastructure and vehicle schedules for electric bus systems}}},
  doi          = {{10.1016/j.trpro.2024.02.051}},
  volume       = {{78}},
  year         = {{2024}},
}

@article{53130,
  author       = {{Stumpe, Miriam and Dieter, Peter and Schryen, Guido and Müller, Oliver and Beverungen, Daniel}},
  journal      = {{Transportation Research Part A: Policy and Practice}},
  title        = {{{Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study}}},
  year         = {{2024}},
}

@article{53213,
  author       = {{Amiri, Arman and Tavana, Madjid and Arman, Hosein}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  keywords     = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction}}},
  doi          = {{10.1016/j.iot.2023.101027}},
  volume       = {{25}},
  year         = {{2024}},
}

@article{53212,
  author       = {{Mahmoodi, Ehsan and Fathi, Masood and Tavana, Madjid and Ghobakhloo, Morteza and Ng, Amos H.C.}},
  issn         = {{0278-6125}},
  journal      = {{Journal of Manufacturing Systems}},
  keywords     = {{Industrial and Manufacturing Engineering, Hardware and Architecture, Software, Control and Systems Engineering}},
  pages        = {{287--307}},
  publisher    = {{Elsevier BV}},
  title        = {{{Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing}}},
  doi          = {{10.1016/j.jmsy.2023.11.019}},
  volume       = {{72}},
  year         = {{2024}},
}

@article{53205,
  author       = {{Tavana, Madjid and Sorooshian, Shahryar}},
  issn         = {{1568-4946}},
  journal      = {{Applied Soft Computing}},
  keywords     = {{Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{A systematic review of the soft computing methods shaping the future of the metaverse}}},
  doi          = {{10.1016/j.asoc.2023.111098}},
  volume       = {{150}},
  year         = {{2024}},
}

@article{54188,
  author       = {{Santos-Arteaga, F.J. and Di Caprio, D. and Tavana, Madjid and Cucchiari, D. and Campistol, J.M. and Oppenheimer, F. and Diekmann, F. and Revuelta, I.}},
  journal      = {{Engineering Applications of Artificial Intelligence}},
  title        = {{{On the Capacity of Artificial Intelligence Techniques and Statistical Methods to Deal with Low Quality Data in Medical Supply Chain Environments}}},
  year         = {{2024}},
}

@article{54189,
  author       = {{Tavana, Madjid and Bonyani, A. and Karimi, T.}},
  journal      = {{International Journal of Applied Management Science}},
  title        = {{{A Full Ranking Method in Data Envelopment Analysis with Multi-Criteria Decision Analysis}}},
  year         = {{2024}},
}

@article{54187,
  author       = {{Setak, M. and Tavana, Madjid and Talafi Daryani, H.}},
  journal      = {{OPSEARCH}},
  title        = {{{A Two-Level Supply Chain Coordination Model for Perishable Products under Optimal Markdown Time and Trade Credit Policies}}},
  year         = {{2024}},
}

@article{54179,
  author       = {{Tavana, Madjid and Sorooshian, S. and Sarvarizadehkouhpaye, M. and Mina, H.}},
  journal      = {{Annals of Operations Research}},
  title        = {{{A Novel Fuzzy General Best-Worst Method for Considering Diversity and Inclusion in Supplier Selection Programs}}},
  year         = {{2024}},
}