Data-driven government: Cross-case comparison of data stewardship in data ecosystems

Government agencies are becoming more data-driven and need high-quality data to fulfill their roles in society. In the past, each agency organized its own data exchange system according to its own needs. Today, data is distributed over many organizations, and government agencies need to adopt an ecosystem approach for data exchange. Fundamental...

Shaping the Future of Shared Services Centers: Insights from a Delphi Study About SSC Transformation Towards 2030

In recent years, shared services centers (SSCs) have been central to organizational transformation strategies of many large firms and governments to reduce costs, improve service quality, and innovate services. SSCs are undergoing significant transformations due to the advancement of technologies. To better understand the technologies’ impact on...

Digital government transformation: A structural equation modelling analysis of driving and impeding factors

Digital technologies are transforming the public sector by affecting applications, processes, culture, structure, and civil servants’ responsibilities and tasks. Yet, there is a void in research about driving and impeding factors influencing digital government transformation (DGT). The article contributes to the current debate on DGT by...

Trusted decision-making: Data governance for creating trust in data science decision outcomes

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising that organizations are increasingly turning to...