Open this publication in new window or tab >>2025 (English)In: Transforming Government: People, Process and Policy, ISSN 1750-6166, E-ISSN 1750-6174, p. 1-21, article id TG-06-2025-0182Article in journal (Refereed) Epub ahead of print
Abstract [en]
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.
Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2025
Keywords
Public administration, Digital government, Benchmark, Maturity model, Digitalisation, Core process
National Category
Information Systems, Social aspects
Research subject
Informatics
Identifiers
urn:nbn:se:oru:diva-125346 (URN)10.1108/tg-06-2025-0182 (DOI)001627822200001 ()
Note
This work was supported in part by the Swedish Agency for Digital Government (Digg).
2025-12-022025-12-022026-04-08Bibliographically approved