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Institute
Die Blockchain-Technologie (BCT) ist eine der vielversprechendsten Technologien der Gegenwart, die in Zukunft insbesondere für produzierende Unternehmen eine noch größere Bedeutung haben wird, um die unternehmensübergreifende Zusammenarbeit zu verbessern und Prozesse gegenüber dem Kunden transparenter zu gestalten. Trotzdessen wird die BCT als vertrauensschaffendes Instrument noch nicht in der Breite angewendet. In diesem Beitrag werden neben den Potenzialen die Herausforderungen für den Einsatz der BCT erörtert und auf Basis des St. Gallener Management-Modells ein Lösungskonzept hergeleitet, welches dem potenziellen Anwender der BCT mögliche Anwendungsszenarien aufzeigt.
Anpassungsfähigkeit und Agilität sind Kernkompetenzen, welehe den Erfolg von Unternehmen im Kontext der Digitalisierung maßgeblich beeinflussen. Die Schlüsselressourcen für diese Kernkompetenzen sind neben geeigneten Unternehmensstrukturen und Prozessen insbesondere die eigenen motivierten Mitarbeiter. Somit wundert es nicht, dass Maßnahmen und Ansätze in den Vordergrund rücken, die den Mitarbeiter fokussieren. Die ,New Work' - Bewegung möchte mit genau solchen Ansätzen, die Potenzialentfaltung eines jeden Mitarbeiters in den Mittelpunkt stellen.
Company Data in the Blockchain: A Juxtaposition of Technological Drivers and Potential Applications
(2018)
In the presented paper, the technical possibilities of Blockchains are analyzed and classified according to their suitability to address specific challenges. This makes it possible to identify those technological drivers that are particularly promising for applicability in a corporate context. This includes, for example, tamper-resistance and security from forgery, which can be achieved without intermediaries with the help of data encryption methods using hash functions. Another technological capability of Blockchains is to provide a high degree of data security, which can be realized using public-key cryptography.
The technological drivers will be juxtaposed with data as typically generated in manufacturing companies (orders and order confirmations, production data, quality-related data, etc.). Subsequently, the prerequisites that these data must meet with regard to storage capacity and transferability will be identified. By linking the results to the identified technological drivers and functions it becomes possible to determine what types of company data have the potential to be successfully stored and managed in a Blockchain.
Personal user data is collected and processed at large scale by a handful of big providers of Internet services. This is detrimental to users, who often do not understand the privacy implications of this data collection, as well as to small parties interested in gaining insights from this data pool, e.g., research groups or small and middle-sized enterprises. To remedy this situation, we propose a transparent and user-controlled data market in which users can directly and consensually share their personal data with interested parties for monetary compensation. We define a simple model for such an ecosystem and identify pressing challenges arising within this model with respect to the user and data processor demands, legal obligations, and technological limits. We propose myneData as a conceptual architecture for a trusted online platform to overcome these challenges. Our work provides an initial investigation of the resulting myneData ecosystem as a foundation to subsequently realize our envisioned data market via the myneData platform.
The advancing globalization and increasing digitization across all industries led to a much more complex and dynamic business environment. This environment is characterized by competition and coopetition. MOORE (1993) presented an approach of the business ecosystem, in which long-term-successful companies work in network structures characterized by coopetition. In this context, companies can take different roles in this business ecosystem. In the literature, there are different approaches to describe these roles. However, an all-encompassing approach is missing, and it is unclear how to classify these roles. Therefore, this research aims to develop a framework to describe the roles of a business ecosystem. Such a framework allows classifying the competitive environment of an actor within the business ecosystem. Building on this understanding, strategic decisions can be prepared and derived. To ensure the validity of the developed framework, it was applied to a current case study, the electromobility business ecosystem.
Since its deployment in 2009 the Blockchain technology has been getting a lot of attention in research, media as well as various industries. In the beginning, only financial related use cases were discussed and implemented, as the first real life and well-known implementation was Bitcoin. Since then many different types of Blockchains evolved. However, it is still unclear what the basic characteristics of a Blockchain are and how those interact to form different types of Blockchains. With this research, we therefore propose a taxonomy of the Blockchain technology to help form a better understanding of the technology itself and guide future research on how to differentiate the multiple types.
In the course of the advancing digitalization, new business fields are characterized by a mixture of competition and cooperation of the actors involved. MOORE (1993) postulates that in analogy to natural ecosystems, long-term successful companies also operate in comparable network structures. In this context, there are pronounced controversies about the extent to which there are leading actors in such a business ecosystem and to what extent they can control the entire system. Similarly, it is largely unclear where the boundaries of a business ecosystem actually lie and how meaningful selective boundaries are. Especially the extent of the coopetition proves to be characteristic for the relationship between the involved actors. Therefore, the aim of this research approach is to develop a new approach for the analysis of corporate ecosystems. To ensure applicability, the developed approach was validated in a current case study in the telecommunications industry.
Mobilität in NRW neu denken
(2018)
Wie können Mitarbeiter von zeitaufwendigen Routinearbeiten befreit und Kapazitäten für wertschöpfende Tätigkeiten geschaffen werden? Wie können die Effizienzpotenziale innerbetrieblicher Geschäftsprozesse nachhaltig ausgeschöpft werden? Robotic-Process-Automation erlebt derzeit einen regelrechten Hype – Erfahren Sie hier, wie digitale Assistenten dabei unterstützen, den Schritt in Richtung Administration 4.0 zu wagen und die Effizienz im Büro auf ein neues Level zu heben.
Deutschlands Autofahrer verbringen jährlich rund 41 Stunden mit der Suche nach freien Parkplätzen. Besonders betroffen von diesem Umstand sind Kurzzeitparker, die berufsbedingt eine Haltemöglichkeit in absoluter Nähe zum Arbeitsort benötigen. Das Forschungsprojekt 'REPAST' hat die Entwicklung eines prototypischen Dienstes zum Ziel, in dem die nötigen öffentlichen und privaten Daten zusammengeführt werden, um beruflich bedingten Kurzzeitparkern ein Werkzeug zur Reduktion von Suchzeiten und Gefahrenpotenzialen an die Hand zu geben. Wesentliches Kernergebnis neben einer Proof-of-Concept-Applikation soll ein Datenkatalog werden , in dem die relevanten Daten und deren Qualitätskriterien aufgeführt sind. Die Erarbeitung wird in sechs
logisch aufeinander aufbauenden Arbeitspaketen erfolgen und durch die zwei Partner Urban Software Institute GmbH und FIR e. V. an der RWTH Aachen durchgeführt. Das Forschungsprojekt ist der erste Teil eines zweistufigen Verfahrens der Forschungsinitiative mFUND und wird durch das Bundesministerium für Verkehr und digitale Infrastruktur gefördert.
