Wirtschaft (MSB)
Filtern
Jahr
- 2023 (43) (entfernen)
Publikationstyp
Schlagworte
- Boundary Spanning (1)
- Cooperation Future (1)
- Customer Journey Mapping (1)
- Customer Journey Mining (1)
- Digitale Transformation, Digitalisierung (1)
- Emissionshandel (1)
- Europäische Union (1)
- IFRS 5 (1)
- KMU (1)
- Klimaneutralität (1)
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.
Collective dynamic capabilities in innovation ecosystems - an analysis of the multi-actor process
(2023)
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.
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.