Industrielles Informationsmanagement
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Item Archetypes of open-source business models(2022-06-14) Duparc, Estelle; Möller, Frederik; Jussen, Ilka; Stachon, Maleen; Algac, Sükran; Otto, BorisThe open-source paradigm offers a plethora of opportunities for innovative business models (BMs) as the underlying codebase of the technology is accessible and extendable by external developers. However, finding the proper configuration of open-source business models (OSBMs) is challenging, as existing literature gives guidance through commonly used BMs but does not describe underlying design elements. The present study generates a taxonomy following an iterative development process based on established guidelines by analyzing 120 OSBMs to complement the taxonomy's conceptually-grounded design elements. Then, a cluster-based approach is used to develop archetypes derived from dominant features. The results show that OSBMs can be classified into seven archetypical patterns: open-source platform BM, funding-based BM, infrastructure BM, Open Innovation BM, Open Core BM, proprietary-like BM, and traditional open-source software (OSS) BM. The results can act as a starting point for further investigation regarding the use of the open-source paradigm in the era of digital entrepreneurship. Practitioners can find guidance in designing OSBMs.Item Designing business model taxonomies – synthesis and guidance from information systems research(2021-12-29) Möller, Frederik; Stachon, Maleen; Azkan, Can; Schoormann, Thorsten; Otto, BorisClassification is an essential approach in business model research. Empirical classifications, termed taxonomies, are widespread in and beyond Information Systems (IS) and enjoy high popularity as both stand-alone artifacts and the foundation for further application. In this article, we focus on the study of empirical business model taxonomies for two reasons. Firstly, as these taxonomies serve as a tool to store empirical data about business models, we investigate their coverage of different industries and technologies. Secondly, as they are emerging artifacts in IS research, we aim to strengthen rigor in their design by illustrating essential design dimensions and characteristics. In doing this, we contribute to research and practice by synthesizing the diffusion of business model taxonomies that helps to draw on the available body of empirical knowledge and providing artifact-specific guidance for building taxonomies in the context of business models.Item Archetypes of digital twins(2021-12-03) van der Valk, Hendrik; Möller, Frederik; Otto, Boris; Haße, HendrikCurrently, Digital Twins receive considerable attention from practitioners and in research. A Digital Twin describes a concept that connects physical and virtual objects through a data linkage. However, Digital Twins are highly dependent on their individual use case, which leads to a plethora of Digital Twin configurations. Based on a thorough literature analysis and two interview series with experts from various electrical and mechanical engineering companies, this paper proposes a set of archetypes of Digital Twins for individual use cases. It delimits the Digital Twins from related concepts, e.g., Digital Threads. The paper delivers profound insights into the domain of Digital Twins and, thus, helps the reader to identify the different archetypical patterns.Item Europäische Dateninfrastrukturen(2021-08-05) Otto, Boris; Burmann, AnjaDaten stellen eine strategische Ressource für die Wettbewerbsfähigkeit von Unternehmen und die Prosperität der Gesellschaft dar. Von der Nutzung von Daten vieler einzelner Akteure profitieren die Gemeinschaft, aber auch das Individuum. Beispiele hierfür liefern das Gesundheitswesen oder die Mobilität. Dabei sind die Interessen der Individuen in Bezug auf Datenschutz und Datensouveränität über Nutzungsvereinbarungen hinaus zu wahren und bestenfalls technologisch sicherzustellen. Datenräume, basierend auf verteilten Dateninfrastrukturen, stellen Datendienste und Datennutzungsregeln für Individuen und Organisationen bereit. Beispiele hierfür liefern die International-Data-Spaces(IDS)-Initiative oder die Initiative Gaia‑X zur Schaffung einer verteilten Dateninfrastruktur in Europa. Instanziierungen in den Bereichen Mobilität oder Smarthome zeigen Vorteile von Datenökosystemen für Individuen, die Gemeinschaft und die Gesamtheit der Dienstanbieter. Gleichzeitig werden Risiken wie die geeignete Interessensvertretung einzelner Nutzender deutlich. Anhand zweier Fallstudien werden offene ethische, rechtliche, betriebswirtschaftliche und technische Fragen bei der verteilten Umsetzung von Datenräumen und Dateninfrastrukturen unter Sicherstellung europäischer Wertevereinbarungen aufgezeigt.