Barriers and Drivers of Digital Transformation in Public Organizations: Results from a Survey in the Netherlands
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Similar results were found in a previous study carried out in the Netherlands, suggesting the possibility of generalization.
“Similar results were found in a previous study carried out in the Netherlands (Tangi et al., 2020), suggesting the possibility of generalization.”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Tangi et al., 2020
The Conclusion reports results from a survey in the Netherlands, so the cited paper is a previous Dutch study with relevant findings. The citing sentence does not specify which results are similar, so that comparison cannot be verified from the source alone. The Conclusion also says that research in another country is needed to determine whether its findings generalize. (LLM, conf=0.78)
Experimental — accuracy not yet measuredThe same trend of partial digitalization and ongoing DGT can be found in countries having very different dimensions, institutional characteristics, and pervasiveness in the usage of digital technologies in public affairs.
“These results were similar to the ones obtained in a previous study in the Netherlands (Tangi et al., 2020), highlighting that the same trend can be found in countries having very different dimensions, institutional characteristics, and pervasiveness in the usage of digital technologies in public affairs (for this feature we referred to the last benchmarking analysis by the European Commission (20”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Tangi et al., 2020
The analysis is limited to the Italian context and did not collect evidence from other countries.
“Moreover, we delineate the analysis in the Italian context and even though similar results were found in a previous study carried out in the Netherlands (Tangi et al., 2020), suggesting the possibility to explore generalization, we did not collect evidence from other countries.”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Tangi et al., 2020
The study excluded the effect of internal and external drivers.
“For example, we excluded the effect of internal and external drivers (Tangi et al., 2020).”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Tangi et al., 2020
Bigger organizations are expected to need more bureaucratic work, having standard procedures embedded in the organizational culture.
“Following a similar argument, bigger organizations are expected to need more bureaucratic work, having standard procedures embedded in the organizational culture (Weerakkody et al., 2019;Tangi et al., 2020).”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Tangi et al., 2020
A previous study in the Netherlands shows that the technical system is often changed by digital technologies while the social system is less affected.
“Despite the need for such transformation, a previous study (Tangi et al., 2020) conducted in the Netherlands, shows that so far in public organizations those five areas are not all equally impacted: while the technical system is often changed by the developments of digital technologies, the social system is less affected.”
From Digital government transformation: A structural equation modelling analysis of driving and impeding factors (2021) · cites this paper as Tangi et al., 2020
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- Authors
- Tangi, L., Janssen, M., Benedetti, M., & Noci, G.
- Affiliations
- Politecnico di Milano (IT)
- Corresponding author
- Tangi, Luca
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Volume
- LNCS-12219
- Pages
- 42-56
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3080847505
- Cited by
- 86
- References
- 29
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 27 · 2023: 16 · 2022: 7 · 2021: 8
- FWCI
- 36.58
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- HAL (submittedVersion, cc-by)
- Lirias (submittedVersion)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Public Administration › Public Policy and Administration Research
- Social Sciences › Political Science and International Relations › Public Administration and Political Analysis
- Keywords
- digital transformation, public administration, e-government, organizational change, barriers to digitalization, drivers of digital transformation, ICT adoption, external pressure, social systems, information systems, Dutch public sector
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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