My Research
My research in Information Systems contributes to the advancement of data management knowledge by examining how management enables the development and scaling of data practices across the organization.
Data Democratization
Ever wondered about the concept of data democracy? Companies have made becoming data-driven a goal. Yet many are still struggling to create value from their data. Data democratization transcends mere accessibility for a few; it entails a shift towards an inclusive culture where every employee feels empowered to use data in practice. My research investigates how to develop data practices beyond data experts.
- A landscape of practice for data democratization
- A design theory for enterprise data catalogs as FAIR platforms
- Data culture tensions preventing effective business process execution
Data Governance
Data governance provides the cross-functional framework for managing data as a strategic enterprise asset, encompassing structural mechanisms (e.g., roles and responsibilities), procedural mechanisms (e.g., processes, policies), and relational mechanisms (e.g., communication, trainings). Pioneering the extension of systems thinking to data governance, my research explores how data governance unfolds in compelex organizational structures to balance control and data-driven innovation.
- A Viable System Model for data governance
- Archetypes of data governance frameworks
- Governing data in the AI era: what makes data use acceptable?
Data & AI Governance
Data governance provides the cross-functional framework for managing data as a strategic enterprise asset, encompassing structural mechanisms (e.g., roles and responsibilities), procedural mechanisms (e.g., processes, policies), and relational mechanisms (e.g., communication, trainings). Pioneering the extension of systems thinking to data governance, my research explores how data governance unfolds in compelex organizational structures to balance control and data-driven innovation.
- A Viable System Model for data governance
- Archetypes of data governance frameworks
- Governing data in the age of AI: what makes data use acceptable?
Data & AI Governance
Data governance provides the cross-functional framework for managing data as a strategic enterprise asset, encompassing structural mechanisms (e.g., roles and responsibilities), procedural mechanisms (e.g., processes, policies), and relational mechanisms (e.g., communication, trainings). Pioneering the extension of systems thinking to data governance, my research explores how data governance unfolds in compelex organizational structures to balance control and data-driven innovation.
- A Viable System Model for data governance
- Archetypes of data governance frameworks
- Governing data in the age of AI: what makes data use acceptable?
Data Democratization
Ever wondered about the concept of data democracy? Companies have made becoming data-driven a goal, yet they often struggle to extract value from their data because it remains largely controlled by data experts alone. My research investigates how organizations develop data practices beyond data experts, a capability denoted as data democratization.
- A landscape of practice for data democratization
- A design theory for enterprise data catalogs as FAIR platforms
- A conceptualization of data culture grounded in organizational tensions
Data Democratization
Ever wondered about the concept of data democracy? Companies have made becoming data-driven a goal, yet they often struggle to extract value from their data because it remains largely controlled by data experts alone. My research investigates how organizations develop data practices beyond data experts, a capability denoted as data democratization.
- A landscape of practice for data democratization
- A design theory for enterprise data catalogs as FAIR platforms
- A conceptualization of data culture grounded in organizational tensions