TY - JOUR A1 - von Keitz, Isabel A1 - Liening, Michael A1 - Wulf, Inge T1 - Berichterstattung über immaterielle Ressourcen gemäß der Richtlinie (EU) 2022/2464 JF - KoR Y1 - 2023 SN - 1617-8084 VL - 2023 IS - 7-8 SP - 296 EP - 308 ER - TY - JOUR A1 - Tallau, Christian A1 - Balz, Ulrich A1 - Perusso, Andre T1 - Berücksichtigung von ESG-Risiken bei der Kreditvergabe durch Banken JF - Die Steuerberatung Y1 - 2023 SN - 0490-9658 IS - 3/2023 SP - 109 EP - 114 ER - TY - JOUR A1 - Paulat, Thomas A1 - Perusso, Andre A1 - Tallau, Christian T1 - Berücksichtigung von ESG-Risiken im Kreditprozess für Firmenkunden JF - Die Bank Y1 - 2023 SN - 0342-3182 VL - 2 IS - 2023 SP - 42 EP - 47 ER - TY - JOUR A1 - Tallau, Christian A1 - Balz, Ulrich A1 - Perusso, Andre T1 - Berücksichtigung von ESG-Risiken im Kreditprozess für Firmenkunden: Studie belegt vielfältige methodische und prozessuale Aufgaben. JF - Die Bank Y1 - 2023 SN - 0342-3182 SP - 18 EP - 23 ER - TY - GEN A1 - Damwerth, Philipp A1 - Bach, Norbert A1 - Buchholz, Wolfgang T1 - Build to last: An analysis of the impact of founding conditions on ecosystem emergence Y1 - 2023 ER - TY - CHAP A1 - Patrzek, Katrin A1 - Herzog, Rainer A1 - Buchmüller, Christoph A1 - Mehrings, Jos T1 - Bürgerliches Recht für Studium und Praxis - digital T2 - Bürgerliches Recht für Studium und Praxis - digital Y1 - 2023 SN - 978-3-8006-7081-9 U6 - http://dx.doi.org/10.15358/9783800670826 SP - 277 EP - 415 PB - Vahlen ER - TY - BOOK A1 - Schmidt, Alexander Lennart A1 - Lahme-Hütig, Norman A1 - Trabucchi, Daniel A1 - Petzold, Neele T1 - Challenges in Studying Multi-Sided Disruptive Platforms: Combining Topic Modeling with Qualitative Content Analysis N2 - This research case study presents a novel way to study the development and growth of a multi-sided disruptive platform built on digital technologies. The corresponding business model unfolds industry-changing dynamics eventually changing competition logic in established markets. Despite the appeal of those models, developing and managing such a multi-sided disruptive platform is challenging because multiple platform sides need to be strategically aligned to develop along a disruptive path. Hence, scholars and practitioners are increasingly debating about the dynamics arising in the development and growth of such platforms. The focal case study discusses a research project which contributes to those debates: This case study discusses how we used topic modeling and qualitative content analysis to make sense of a large amount of historical data from and about multiple platform sides to understand the strategic management and alignment mechanisms that unfolded over time. We discuss how we studied an entrant that was spun off from an established catalog retailer and is steering a multi-sided disruptive platform in the German fashion retail industry. We present how we faced the challenges of collecting data from multiple platform sides and how we used topic modeling to overcome data asphyxiation (i.e. difficulties in making sense of an overwhelming amount of qualitative data). Readers of this case study are equipped with practical insights about a) studying the development of multi-sided platforms over time, and b) using topic modeling and qualitative content analysis as complementing methodological approaches. KW - business models, disruptive innovation, journals, mechanisms, teams Y1 - 2023 SN - 9781529669312 U6 - http://dx.doi.org/10.4135/9781529669312 PB - Sage Publications, Inc. CY - London ER - TY - GEN A1 - Damwerth, Philipp A1 - Bach, Norbert A1 - Buchholz, Wolfgang A1 - Rosculete, Maria-Ana T1 - Collective dynamic capabilities in innovation ecosystems - an analysis of the multi-actor process Y1 - 2023 ER - TY - CHAP A1 - Eschenbächer, Jens A1 - Wiethölter, Jost A1 - Kühl, Linus T1 - Data-driven supply chain analysis: Development and potential analysis of a model-based damage prediction approach and its integration into SCM T2 - Proceedings of the 27th International Symposium on Logistics N2 - 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. Y1 - 2023 UR - https://www.islconf.org/wp-content/uploads/2023/07/ISL_2023_Final_Proceedings.pdf SN - 13 978-0-85358-352-3 SP - 136 EP - 144 ER - TY - BOOK A1 - Appelfeller, Wieland A1 - Feldmann, Carsten T1 - Die digitale Transformation des Unternehmens: Systematischer Leitfaden mit zehn Elementen zur Strukturierung und Reifegradmessung N2 - Die digitale Transformation ist eine zentrale Herausforderung für Unternehmen. Dieses Buch bietet einen Handlungsrahmen, der das vielschichtige Thema strukturiert, aus einer vorwiegend betriebswirtschaftlichen Sicht einfach erklärt und eine systematische Anleitung zur Digitalisierung bietet. Es richtet sich gleichermaßen an Praktiker und Studierende. Das digitale Unternehmen wird über zehn Elemente, z. B. Prozesse, Produkte, Geschäftsmodell und Daten, praxisorientiert dargestellt. Für jedes Element wird anschaulich erläutert, 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 tatsächlich sinnvoll ist. Traditionelle Ansätze der digitalen Transformation wie die Prozess-Digitalisierung werden ebenso beschrieben wie neuere Ansätze, beispielsweise die Digitalisierung von Produkten oder das Internet of Things. Zusätzlich 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. KW - Digitale Transformation, Digitalisierung Y1 - 2023 SN - 978-3-662-65413-2 U6 - http://dx.doi.org/10.1007/978-3-662-65413-2 PB - SpringerGabler CY - Berlin ET - 2. Aufl. ER -