Learning by assessing digital government: a case study of the digital index framework
Purpose This study aims to examine the results and influences of the practical implementation of a Digital Index Framework (DIF) for assessing digital government among government agencies. Design/methodology/approach The authors use a mixed methods approach in a case study of a project using the DIF and involving two government agencies in Sweden. The analysis focuses on interpreting quantitative results from the DIF and using the schematic theory of evaluation influence to study qualitative data on how the DIF assessment process influences the participants of the project. Findings The quantitative results show the multifaceted spread of digitalisation among activities for carrying out core processes in government agencies, revealing differences in automation, levels of digital service and the exchange of data. The qualitative analysis shows influences from the DIF in how the participants acquire skills to learn about the development of digitalisation and are primed towards certain cross-government challenges. Originality/value The study analyses the influence on public sector practitioners from a theoretical framework for assessing digital government by using evaluation research. This entails experiences of a project using a DIF in the context of core processes among public servants in public administration. This is a novel approach to studying practical results and influences in using a framework for assessing digital government; showing how assessment can be used for learning and development of digital government among practitioners.
Authors
- Fredric Skargren
- Karin García Ambrosiani
- Mathias Hatakka (ORCID: https://orcid.org/0000-0003-1076-3442)
- Jenny Lagsten
Institutions
- Örebro University (SE)
- Oldham Council (GB)
Publication Details
- Journal
- Transforming Government People Process and Policy
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1108/tg-06-2025-0182
- Primary Topic
- E-Government and Public Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00