@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{65857,
  abstract     = {{This paper presents a holistic framework for the transition from diesel to electric bus networks, crucial for meeting EU regulations targeting 100% zero-emission urban buses by 2035. We employ a two-phase solution framework: in phase 1, we solve the Charging Location and Electric Vehicle Scheduling Problem to generate vehicle schedules that are feasible for electric operation; in phase 2, these schedules serve as input to a multi-period transition planning model that minimizes the total cost of ownership while determining fleet replacement and charging infrastructure deployment. Our experiments show that schedules obtained from solving the integrated charging location and vehicle scheduling problem significantly outperform traditional methods, resulting in lower total cost of ownership. Additionally, transition plans reduce local emissions by up to 85% compared to a diesel-only scenario. We find that vehicle rotations with long distances and sufficient idle time are prioritized for electrification, enabling earlier emission reductions and cost savings. This highlights the importance of adopting vehicle scheduling tailored for electric buses, rather than relying on legacy diesel schedules.}},
  author       = {{Stumpe, Miriam and Rößler-von Saß, David and Kliewer, Natalia and Schryen, Guido}},
  issn         = {{2590-1982}},
  journal      = {{Transportation Research Interdisciplinary Perspectives}},
  keywords     = {{Electric bus, Multi-period planning, Electric vehicle scheduling, Charging infrastructure, Fleet replacement}},
  publisher    = {{Elsevier BV}},
  title        = {{{Impact of vehicle scheduling and strategic transition planning on zero-emission bus systems}}},
  doi          = {{10.1016/j.trip.2026.102008}},
  volume       = {{38}},
  year         = {{2026}},
}

@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}},
  number       = {{3}},
  pages        = {{555--579}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Theorising Forward: Positioning Deductive Elaboration in the Information Systems Research Repertoire}}},
  doi          = {{10.1080/0960085x.2025.2550403}},
  volume       = {{35}},
  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}},
}

@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}},
}

@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}},
}

@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{58370,
  author       = {{Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}},
  journal      = {{Cleaner Energy Systems}},
  number       = {{June}},
  publisher    = {{Elsevier}},
  title        = {{{A two-level approach for multi-objective flexible job shop scheduling and energy procurement}}},
  doi          = {{10.1016/j.cles.2025.100178}},
  volume       = {{10}},
  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}}},
  volume       = {{35}},
  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}},
}