Industrial engineer by education, I am an information systems researcher focussing on data management, data sharing and data ecosystems. Phone: +492317555959 Address: TU Dortmund University Logistik Campus Joseph-von-Fraunhofer-Str. 2-4 D-44227 Dortmund
Digital Twins offer considerable potential for cross-company networks. Recent research primarily ... more Digital Twins offer considerable potential for cross-company networks. Recent research primarily focuses on using Digital Twins within the limits of a single organization. However, Shared Digital Twins extend application boundaries to cross-company utilization through their ability to act as a hub to share data. This results in the need to consider additional design dimensions which help practitioners design Digital Twins tailored for inter-company use. The article addresses precisely that issue as it investigates how Shared Digital Twins should be designed to achieve business success. For this purpose, the article proposes a set of design principles for Shared Digital Twins stemming from a qualitative interview study with 18 industry experts. The interview study is the primary data source for formulating and evaluating the design principles.
The digitization of the economy and society requires enterprises from all industries to revisit t... more The digitization of the economy and society requires enterprises from all industries to revisit their business models and prepare their organizations for the digital age. The design of "smart" products and services, the involvement of prosumers, and the intensifying interconnection of supply chains are signs of this transformation. Each of these scenarios builds on improved availability and interchangeability of data. In order to successfully transform their business and be able to develop valuable new services, companies require methodological help. To address this need, this paper proposes a service-capability design framework for digital businesses. The framework is developed theoretically based on the literature and earlier research and consists of a meta-model and a high-level reference model. The framework is retroactively applied to a real-world digital use case to demonstrate its validity.
ZusammenfassungDaten stellen eine strategische Ressource für die Wettbewerbsfähigkeit von Unterne... more ZusammenfassungDaten 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 Risik...
Our work develops an archetypical representation of current digital business models of Start-Ups ... more Our work develops an archetypical representation of current digital business models of Start-Ups in the logistics sector. In order to achieve our goal, we analyze the business models of 125 Start-Ups. We draw our sample from the Start-Up database AngelList and focus on platform-driven businesses. We chose Start-Ups as they often are at the forefront of innovation and thus have a high likelihood of operating digital business models. Following well-established methodological guidelines, we construct a taxonomy of digital business models in multiple iterations. We employ different algorithms for cluster analysis to find and generate clusters based on commonalities between the business models across the dimensions and characteristics of the taxonomy. Ultimately, we use the dominant features of the emerging patterns within the clusters to derive archetypes.
ACM Journal of Data and Information Quality (JDIQ), 2022
A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the... more A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues among shared data. However, despite years of research in data governance and management, trustability is still affected by the absence of transparent and traceable data-driven pipelines. In this work, we focus on requirements and challenges that DEs face when ensuring data transparency. Requirements are derived from the data and organizational management, as well as from broader legal and ethical considerations. We propose a novel knowledge-driven DE architecture, providing the pillars for satisfying the analyzed requirements. We illustrate the potential of our proposal in a real-world scenario. Last, we discuss and rate the potential of the proposed architecture in the fulfillmentof these requirements.
As cloud computing has become a mature technology broadly being adopted by companies across all i... more As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9% of the dependent variable’s variance. Besides cloud-specific findings, the study also enhances knowledge in organizational level system continuance as well as its connection to ...
The digital and data-driven economy requires enterprises from all industries to revisit their exi... more The digital and data-driven economy requires enterprises from all industries to revisit their existing data management approaches. To address the changing and broader scope of data management activities in the digital economy, this research in progress paper proposes a reference model, that describes the design areas of data management.
Data Governance defines roles and responsibilities for the management and use of corporate data. ... more Data Governance defines roles and responsibilities for the management and use of corporate data. While the need for Data Governance is undoubted, companies often encounter difficulties in designing Data Governance in their organization. There is no one size fits all solution. As companies are different in terms of their business strategy, their diversification breadth, their industry, IT strategy and application system landscape, Data Governance must take into account this diversity. What works in company A does not necessarily work in company B. An example: A company from the chemical industry organizes data stewardship as a virtual organization with solid reporting lines to the business functions (e.g. supply chain management, financial accounting) whereas a second company of similar size, product range and geographic presence establishes a shared service center to organize data stewards.The presentation introduces a reference model for Data Governance design which was developed b...
Digital Twins offer considerable potential for cross-company networks. Recent research primarily ... more Digital Twins offer considerable potential for cross-company networks. Recent research primarily focuses on using Digital Twins within the limits of a single organization. However, Shared Digital Twins extend application boundaries to cross-company utilization through their ability to act as a hub to share data. This results in the need to consider additional design dimensions which help practitioners design Digital Twins tailored for inter-company use. The article addresses precisely that issue as it investigates how Shared Digital Twins should be designed to achieve business success. For this purpose, the article proposes a set of design principles for Shared Digital Twins stemming from a qualitative interview study with 18 industry experts. The interview study is the primary data source for formulating and evaluating the design principles.
The digitization of the economy and society requires enterprises from all industries to revisit t... more The digitization of the economy and society requires enterprises from all industries to revisit their business models and prepare their organizations for the digital age. The design of "smart" products and services, the involvement of prosumers, and the intensifying interconnection of supply chains are signs of this transformation. Each of these scenarios builds on improved availability and interchangeability of data. In order to successfully transform their business and be able to develop valuable new services, companies require methodological help. To address this need, this paper proposes a service-capability design framework for digital businesses. The framework is developed theoretically based on the literature and earlier research and consists of a meta-model and a high-level reference model. The framework is retroactively applied to a real-world digital use case to demonstrate its validity.
ZusammenfassungDaten stellen eine strategische Ressource für die Wettbewerbsfähigkeit von Unterne... more ZusammenfassungDaten 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 Risik...
Our work develops an archetypical representation of current digital business models of Start-Ups ... more Our work develops an archetypical representation of current digital business models of Start-Ups in the logistics sector. In order to achieve our goal, we analyze the business models of 125 Start-Ups. We draw our sample from the Start-Up database AngelList and focus on platform-driven businesses. We chose Start-Ups as they often are at the forefront of innovation and thus have a high likelihood of operating digital business models. Following well-established methodological guidelines, we construct a taxonomy of digital business models in multiple iterations. We employ different algorithms for cluster analysis to find and generate clusters based on commonalities between the business models across the dimensions and characteristics of the taxonomy. Ultimately, we use the dominant features of the emerging patterns within the clusters to derive archetypes.
ACM Journal of Data and Information Quality (JDIQ), 2022
A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the... more A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues among shared data. However, despite years of research in data governance and management, trustability is still affected by the absence of transparent and traceable data-driven pipelines. In this work, we focus on requirements and challenges that DEs face when ensuring data transparency. Requirements are derived from the data and organizational management, as well as from broader legal and ethical considerations. We propose a novel knowledge-driven DE architecture, providing the pillars for satisfying the analyzed requirements. We illustrate the potential of our proposal in a real-world scenario. Last, we discuss and rate the potential of the proposed architecture in the fulfillmentof these requirements.
As cloud computing has become a mature technology broadly being adopted by companies across all i... more As cloud computing has become a mature technology broadly being adopted by companies across all industries, cloud service providers are increasingly turning their attention to retaining their customers. However, only little research has been conducted on investigating the antecedents of service continuance in an organizational context. To address this gap in research, we carried out a quantitative-empirical study. We developed a conceptual model that builds on previous research on organizational level continuance. We tested this model, using survey data gathered from decision makers of companies which have adopted cloud enterprise systems. The data was analyzed using PLS. The results show that continuance intention can be predicted both by socio-organizational and technology-related factors, explaining 55.9% of the dependent variable’s variance. Besides cloud-specific findings, the study also enhances knowledge in organizational level system continuance as well as its connection to ...
The digital and data-driven economy requires enterprises from all industries to revisit their exi... more The digital and data-driven economy requires enterprises from all industries to revisit their existing data management approaches. To address the changing and broader scope of data management activities in the digital economy, this research in progress paper proposes a reference model, that describes the design areas of data management.
Data Governance defines roles and responsibilities for the management and use of corporate data. ... more Data Governance defines roles and responsibilities for the management and use of corporate data. While the need for Data Governance is undoubted, companies often encounter difficulties in designing Data Governance in their organization. There is no one size fits all solution. As companies are different in terms of their business strategy, their diversification breadth, their industry, IT strategy and application system landscape, Data Governance must take into account this diversity. What works in company A does not necessarily work in company B. An example: A company from the chemical industry organizes data stewardship as a virtual organization with solid reporting lines to the business functions (e.g. supply chain management, financial accounting) whereas a second company of similar size, product range and geographic presence establishes a shared service center to organize data stewards.The presentation introduces a reference model for Data Governance design which was developed b...
Uploads
Papers by Boris Otto