@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}},
}

@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}},
}

@article{54178,
  author       = {{Dellnitz, A. and Tavana, Madjid}},
  journal      = {{European Journal of Operational Research}},
  title        = {{{Data Envelopment Analysis: From Non-Monotonic to Monotonic Scale Elasticities}}},
  year         = {{2024}},
}

@inproceedings{47427,
  author       = {{Schryen, Guido and Marrone, Mauricio and Yang, Jiaqi}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024)}},
  title        = {{{Adopting Generative AI for Literature Reviews: An Epistemological Perspective}}},
  year         = {{2024}},
}

@inproceedings{47429,
  author       = {{Betke, Hans and Sperling, Martina and Schryen, Guido and Sackmann, Stefan}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024)}},
  title        = {{{A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response}}},
  year         = {{2024}},
}

@article{57208,
  abstract     = {{<jats:p> Home delivery failures, traffic congestion, and relatively large handling times have a negative impact on the profitability of last-mile logistics. A potential solution is the delivery to parcel lockers or parcel shops, denoted by out-of-home (OOH) delivery. In the academic literature, models for OOH delivery are so far limited to static settings, contrasting with the sequential nature of the problem. We model the sequential decision-making problem of which OOH location to offer against what incentive for each incoming customer, taking into account future customer arrivals and choices. We propose dynamic selection and pricing of OOH (DSPO), an algorithmic pipeline that uses a novel spatial-temporal state encoding as input to a convolutional neural network. We demonstrate the performance of our method by benchmarking it against two state-of-the-art approaches. Our extensive numerical study, guided by real-world data, reveals that DSPO can save 19.9 percentage points (%pt) in costs compared with a situation without OOH locations, 7%pt compared with a static selection and pricing policy, and 3.8%pt compared with a state-of-the-art demand management benchmark. We provide comprehensive insights into the complex interplay between OOH delivery dynamics and customer behavior influenced by pricing strategies. The implications of our findings suggest that practitioners adopt dynamic selection and pricing policies. </jats:p><jats:p> History: This paper has been accepted for the Transportation Science special issue on TSL Conference 2023. </jats:p><jats:p> Funding: This work was supported by TKI DINALOG. </jats:p>}},
  author       = {{Akkerman, Fabian and Dieter, Peter and Mes, Martijn}},
  issn         = {{0041-1655}},
  journal      = {{Transportation Science}},
  publisher    = {{Institute for Operations Research and the Management Sciences (INFORMS)}},
  title        = {{{Learning Dynamic Selection and Pricing of Out-of-Home Deliveries}}},
  doi          = {{10.1287/trsc.2023.0434}},
  year         = {{2024}},
}

@techreport{57481,
  author       = {{Dieter, Peter and Speckenmeyer, Philipp and Schryen, Guido}},
  title        = {{{The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers}}},
  doi          = {{10.2139/ssrn.5039888}},
  year         = {{2024}},
}

@article{47424,
  author       = {{Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}},
  journal      = {{Flexible Services and Manufacturing Journal}},
  title        = {{{A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs}}},
  year         = {{2024}},
}

@misc{48335,
  author       = {{Knorr, Lukas and Jungeilges, André and Pfeifer, Florian and Burmeister, Sascha Christian and Meschede, Henning}},
  publisher    = {{4. Aachener Ofenbau- und Thermoprozess-Kolloquium}},
  title        = {{{Regenerative Energien für einen effizienten Betrieb von Presshärtelinien}}},
  year         = {{2023}},
}

@article{53220,
  author       = {{Tavana, Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza Shamekhi and Mina, Hassan}},
  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 interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks}}},
  doi          = {{10.1016/j.iot.2023.100786}},
  volume       = {{22}},
  year         = {{2023}},
}

@article{53218,
  author       = {{Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga, Francisco J. and Sharafi, Hamid}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Analytic hierarchy process and data envelopment analysis: A match made in heaven}}},
  doi          = {{10.1016/j.eswa.2023.119902}},
  volume       = {{223}},
  year         = {{2023}},
}