@book{OPUS4-16378,
  title     = {Wirtschaft f{\"u}r morgen - Inflation, Bitcoin, B{\"u}rgergeld},
  editor    = {Rupprecht, Manuel},
  publisher = {Kohlhammer},
  isbn      = {978-3-17-042325-1},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {202},
  year      = {2023},
  language  = {de}
}
@book{AppelfellerFeldmann2023,
  author    = {Appelfeller, Wieland and Feldmann, Carsten},
  title     = {Die digitale Transformation des Unternehmens: Systematischer Leitfaden mit zehn Elementen zur Strukturierung und Reifegradmessung},
  edition   = {2. Aufl.},
  publisher = {SpringerGabler},
  address   = {Berlin},
  isbn      = {978-3-662-65413-2},
  doi       = {10.1007/978-3-662-65413-2},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {426},
  year      = {2023},
  abstract  = {Die digitale Transformation ist eine zentrale Herausforderung f{\"u}r Unternehmen. Dieses Buch bietet einen Handlungsrahmen, der das vielschichtige Thema strukturiert, aus einer vorwiegend betriebswirtschaftlichen Sicht einfach erkl{\"a}rt und eine systematische Anleitung zur Digitalisierung bietet. Es richtet sich gleichermaßen an Praktiker und Studierende. Das digitale Unternehmen wird {\"u}ber zehn Elemente, z. B. Prozesse, Produkte, Gesch{\"a}ftsmodell und Daten, praxisorientiert dargestellt. F{\"u}r jedes Element wird anschaulich erl{\"a}utert, was dessen digitale Transformation konkret bedeutet und in welchen Stufen diese umsetzbar ist. Handlungsempfehlungen und zahlreiche Beispiele zeigen, wie eine schrittweise Digitalisierung des Unternehmens erfolgen kann. Dabei wird auch hinterfragt, wie weit eine Digitalisierung tats{\"a}chlich sinnvoll ist. Traditionelle Ans{\"a}tze der digitalen Transformation wie die Prozess-Digitalisierung werden ebenso beschrieben wie neuere Ans{\"a}tze, beispielsweise die Digitalisierung von Produkten oder das Internet of Things. Zus{\"a}tzlich zu den zehn Elementen werden digitale Technologien wie Robotic Process Automation (RPA), Process Mining, Blockchain oder 3D-Druck beschrieben, die als Enabler der digitalen Transformation interpretiert werden. Nutzenbewertungen von Investitionen sowie das begleitende Change Management und eine umfassende Fallstudie, die die komplette Transformation eines Unternehmens darstellt, runden das Buch ab.},
  language  = {de}
}
@misc{Baaken2023,
  author    = {Baaken, Thomas},
  title     = {Lessons Learned from 20 Years of Regional Development Science and Boundary Spanning!},
  year      = {2023},
  language  = {en}
}
@misc{Baaken2023,
  author    = {Baaken, Thomas},
  title     = {Identifying new Potential: Cooperation opens up the Future!},
  year      = {2023},
  language  = {en}
}
@misc{BalzBordemann2023,
  author    = {Balz, Ulrich and Bordemann, Heinz-Gerd},
  title     = {{\"U}bertragbare Ertragskraft von KMU in der Unternehmensbewertung},
  year      = {2023},
  language  = {de}
}
@incollection{BuchholzDelke2023,
  author    = {Buchholz, Wolfgang and Delke, Vincent},
  title     = {Robotic Process Automation im Einkauf},
  series = {Feldmann, C. [Hrsg.]: Praxishandbuch Robotic Process Automation (RPA)},
  booktitle = {Feldmann, C. [Hrsg.]: Praxishandbuch Robotic Process Automation (RPA)},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {9783658383787},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {1 -- 15},
  year      = {2023},
  language  = {de}
}
@misc{DamwerthBachBuchholz2023,
  author    = {Damwerth, Philipp and Bach, Norbert and Buchholz, Wolfgang},
  title     = {Build to last: An analysis of the impact of founding conditions on ecosystem emergence},
  year      = {2023},
  language  = {en}
}
@misc{DamwerthBachBuchholzetal.2023,
  author    = {Damwerth, Philipp and Bach, Norbert and Buchholz, Wolfgang and Rosculete, Maria-Ana},
  title     = {Collective dynamic capabilities in innovation ecosystems - an analysis of the multi-actor process},
  year      = {2023},
  language  = {en}
}
@inproceedings{EschenbaecherDircksenKuehletal.2023,
  author    = {Eschenb{\"a}cher, Jens and Dircksen, Michael and K{\"u}hl, Linus and Wieth{\"o}lter, Jost},
  title     = {Initial approach for AI-based real time global risk assessment in SCM},
  series = {Proceedings of the 27th International Symposium on Logistics},
  booktitle = {Proceedings of the 27th International Symposium on Logistics},
  isbn      = {13 978-0-85358-352-3},
  pages     = {75 -- 76},
  year      = {2023},
  language  = {en}
}
@inproceedings{EschenbaecherWiethoelterKuehl2023,
  author    = {Eschenb{\"a}cher, Jens and Wieth{\"o}lter, Jost and K{\"u}hl, Linus},
  title     = {Data-driven supply chain analysis: Development and potential analysis of a model-based damage prediction approach and its integration into SCM},
  series = {Proceedings of the 27th International Symposium on Logistics},
  booktitle = {Proceedings of the 27th International Symposium on Logistics},
  isbn      = {13 978-0-85358-352-3},
  pages     = {136 -- 144},
  year      = {2023},
  abstract  = {Against the setting of an increasing need for innovation and low margins, companies in the logistics sector are facing highly competitive pressure. One field with high potential for optimization lies within damage quotas. The use of big data analytics or data mining represents a promising approach to face this challenge. However, within supply chain management, data mining is hardly being researched on regarding damage quotas and thus not being utilized to its full possible extend. At the current time it seems to predominantly be used for route and utilization optimization while the analysis of delivery damages is hardly considered. The aim of this research is therefore to showcase an initial approach for data mining in logistics to predict delivery damage probabilities and to validate this by means of a multiple case study research. To create a sound basis for evaluation, the groundwork is laid out based on CRISP-DM by the analysis of reference data (German road-cargo market). As a central result it is noted that data mining can systematically be used to help reducing the damages by forecasting the probabilities of damages occurring during transport in dependence of different factors. The approach can be utilized across different markets as long as sufficient data tracking delivery damages is being collected within a company. Challenges arise in the field of air- and sea-freight.},
  language  = {en}
}