@incollection{FisherLongoniLuzzinietal.2024,
  author    = {Fisher, Sandra and Longoni, Annachiara and Luzzini, Davide and Pagell, Mark and Wasserman, Michael and Wiengarten, Frank},
  title     = {A just transition towards making precarious work rare, safe, and legal},
  series = {The Supply Chain: A System in Crisis. Edited by Stefan Gold, Andreas Wieland},
  booktitle = {The Supply Chain: A System in Crisis. Edited by Stefan Gold, Andreas Wieland},
  publisher = {Edward Elgar},
  isbn      = {9781803924915},
  doi       = {10.4337/9781803924922},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {111 -- 125},
  year      = {2024},
  abstract  = {Supply chains often match the supply of labour to uncertain demand by using precarious workprecarious workers. This increases flexibility and lowers costs for the supply chain by shifting risk to the workers and costs to society. Supply chains are maximizing profits, often literally, on the backs of their workers by creating serious negative externalities for society. We address this issue using a powerpower perspective because powerpower is asymmetrically oriented against workers in many supply chain contexts. This allows us to identify examples of how to reverse this trend and shift powerpower back to workers. The goal is to get to where stakeholders understand the costs and limited benefits of precarity, where we can separate the notion of flexibility from low costs, and where through a combination of incentives, policy, social norms of ethical behaviour, and consumer action, we can get to a better place than where we are now.},
  language  = {en}
}
@techreport{LohmannKliggeTheile2024,
  author    = {Lohmann, Niklas and Kligge, Marcus and Theile, Jannis},
  title     = {Abschlussbericht FEP WS 2023/2024},
  editor    = {Grewe, Claus},
  publisher = {FH M{\"u}nster},
  organization    = {FH M{\"u}nster},
  doi       = {10.25974/fhms-17902},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-179028},
  pages     = {36},
  year      = {2024},
  abstract  = {Der Abschlussbericht fasst die im Wintersemester 2023/2024 erzielten Ergebnisse des Forschungs- und Entwicklungsprojektes im Studiengang Master of Science Wirtschaftsinformatik an der FH M{\"u}nster zusammen. Das Forschungsprojekt befasste sich mit der Fragestellung, wie sich hochperformanter Code in systemfernen Programmiersprachen wie Java oder JavaScript integrieren l{\"a}sst, um die vorhandene Hardwareleistung moderner CPUs und GPUs besser ausnutzen zu k{\"o}nnen. Derzeitig wird hierzu sowohl im Umfeld der Java-Plattform als auch in einer Working Group des World Wide Web Consortiums an Vorschl{\"a}gen zur verbesserten SIMD-Integration gearbeitet. Im Forschungprojekt wurden diese Vorschl{\"a}ge aufgegriffen und hinichtlich des resultierenden Programmieraufwandes und der erzielbaren Leistungssteigerung qualitativ und quantitativ bewertet. F{\"u}r JavaScript-basierte Browseranwendungen standen die Schnittstellen WebGPU und WebGL im Mittelpunkt, im Java-Umfeld wurden die drei Schnittstellen Foreign Functions \& Memory API, Java Vector API und Java Native Interface (JNI) miteinander verglichen und bewertet.},
  language  = {de}
}
@article{VollenbergHacklMatthiesetal.2024,
  author    = {Vollenberg, Carolin and Hackl, Johanna and Matthies, Benjamin and Coners, Andr{\´e}},
  title     = {Acceptance of RPA in Public Sector Institutions},
  series = {Journal of Organizational Computing and Electronic Commerce},
  journal   = {Journal of Organizational Computing and Electronic Commerce},
  doi       = {10.1080/10919392.2024.2365446},
  pages     = {1 -- 19},
  year      = {2024},
  language  = {en}
}
@inproceedings{KindsgrabDircksenZadek2024,
  author    = {Kindsgrab, Kai and Dircksen, Michael and Zadek, Hartmut},
  title     = {Analysing Vehicle Cost Dynamics: How CO2 Pricing Drives Electrification in Road Transport},
  series = {17th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management},
  booktitle = {17th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management},
  organization    = {Otto von Guericke University Library, Magdeburg, Germany},
  isbn      = {978-3-948749-47-7},
  doi       = {10.25673/116221},
  pages     = {39 -- 46},
  year      = {2024},
  language  = {en}
}
@article{BueckerHotiRose2024,
  author    = {B{\"u}cker, Michael and Hoti, Kreshnik and Rose, Olaf},
  title     = {Artificial intelligence to assist decision-making on pharmacotherapy: A feasibility study},
  series = {Exploratory Research in Clinical and Social Pharmacy},
  volume    = {15},
  journal   = {Exploratory Research in Clinical and Social Pharmacy},
  issn      = {2667-2766},
  doi       = {10.25974/fhms-18142},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-181429},
  pages     = {100491 -- 100491},
  year      = {2024},
  abstract  = {Background Artificial intelligence (AI) has the capability to analyze vast amounts of data and has been applied in various healthcare sectors. However, its effectiveness in aiding pharmacotherapy decision-making remains uncertain due to the intricate, patient-specific, and dynamic nature of this field. Objective This study sought to investigate the potential of AI in guiding pharmacotherapy decisions using clinical data such as diagnoses, laboratory results, and vital signs obtained from routine patient care. Methods Data of a previous study on medication therapy optimization was updated and adapted for the purpose of this study. Analysis was conducted using R software along with the tidymodels extension packages. The dataset was split into 74\% for training and 26\% for testing. Decision trees were selected as the primary model due to their simplicity, transparency, and interpretability. To prevent overfitting, bootstrapping techniques were employed, and hyperparameters were fine-tuned. Performance metrics such as areas under the curve and accuracies were computed. Results The study cohort comprised 101 elderly patients with multiple diagnoses and complex medication regimens. The AI model demonstrated prediction accuracies ranging from 38\% to 100\% for various cardiovascular drug classes. Laboratory data and vital signs could not be interpreted, as the effect and dependence were unclear for the model. The study revealed that the issue of AI lag time in responding to sudden changes could be addressed by manually adjusting decision trees, a task not feasible with neural networks. Conclusion In conclusion, the AI model exhibited promise in recommending appropriate medications for individual patients. While the study identified several obstacles during model development, most were successfully resolved. Future AI studies need to include the drug effect, not only the drug, if laboratory data is part of the decision. This could assist with interpreting their potential relationship. Human oversight and intervention remain essential for an AI-driven pharmacotherapy decision support system to ensure safe and effective patient care.},
  language  = {de}
}
@incollection{FeldmannDreyerKaupe2024,
  author    = {Feldmann, Carsten and Dreyer, Marlen and Kaupe, Victor},
  title     = {Assistance Systems in Manual Order Picking - A comprehensive Overview of Pick-by-X Systems},
  series = {Warehousing 5.0 - Managing the transition from techno-focused to human-value-centric intralogistics},
  booktitle = {Warehousing 5.0 - Managing the transition from techno-focused to human-value-centric intralogistics},
  editor    = {Christoph, Glock and Eric, Grosse},
  address   = {Darmstadt, Saarbr{\"u}cken},
  isbn      = {979-8-873704-35-4},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {115 -- 130},
  year      = {2024},
  language  = {en}
}
@article{TallauHartweinHirschfeld2024,
  author    = {Tallau, Christian and Hartwein, Georg and Hirschfeld, Justus},
  title     = {Auswirkungen des Zinsanstiegs auf das Verhalten von Immobilieninvestoren und Projektentwicklern.},
  series = {Immobilien \& Finanzierung},
  volume    = {2024},
  journal   = {Immobilien \& Finanzierung},
  number    = {1},
  issn      = {1618-7741},
  pages     = {28 -- 31},
  year      = {2024},
  language  = {de}
}
@article{Feldmann2024,
  author    = {Feldmann, Carsten},
  title     = {Automizing Administrative Processes with Robotic Process Automation: The RPA Handbook},
  series = {Survey of Tools for Software Engineering - United Innovations. Hrsg. Gerd Große},
  journal   = {Survey of Tools for Software Engineering - United Innovations. Hrsg. Gerd Große},
  number    = {1/24},
  pages     = {28 -- 31},
  year      = {2024},
  language  = {en}
}
@article{PelsterBischof2024,
  author    = {Pelster, Clemens and Bischof, Stefan},
  title     = {Bilanzierung einer vom Verk{\"a}ufer beim Unternehmenszusammenschluss gew{\"a}hrten Entsch{\"a}digung},
  series = {PiR - Internationale Rechnungslegung},
  journal   = {PiR - Internationale Rechnungslegung},
  number    = {4},
  issn      = {1868-3118},
  pages     = {119 -- 121},
  year      = {2024},
  language  = {de}
}
@techreport{WesbuerBaumgartenKurzhals2024,
  author    = {Wesbuer, Annika and Baumgarten, Julia and Kurzhals, Louis},
  title     = {Blockchain in der Hochschulbildung im Agrar- und Ern{\"a}hrungssektor: forschungsbasierter Leitfaden f{\"u}r die Blockchain-Ausbildung im Agrar- und Lebensmittelsektor mit Empfehlungen f{\"u}r p{\"a}dagogische Strategien f{\"u}r die Blockchain-Ausbildung im Agrar- und Lebensmittelsektor},
  doi       = {10.25974/fhms-18165},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-181651},
  pages     = {32},
  year      = {2024},
  language  = {de}
}