Paradigm shift
Exploring the impact of digital technologies on the welfare state through a systematic literature review
Bibliographic Data
| ID | 11636147 |
|---|---|
| Authors | Sofia Alexopoulou (0000-0002-8391-5606, Department of Public Administration Panteion University Athens Greece, corresponding author) |
| Year | 2024 |
| Volume | 59 |
| Issue | 1 |
| Pages | 135-157 |
| Publication date | 2024-07-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Policy and Administration (JOURNAL) |
| Journal identifiers | ISSN: 0144-5596 • E-ISSN: 1467-9515 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/spol.13054 |
| OpenAlex | W4400335342 |
| Language | EN |
| Citations received | 10 |
| References cited | 56 |
This systematic literature review (SLR) explores the impact of digital technologies on welfare states and bureaucracies, analyzing the evolving dynamics between the state and citizens. The integration of digital technologies reshapes traditional interactions, granting citizens new levels of autonomy and responsibility. Service delivery evolves from conventional bureaucracies to dynamic, data‐driven systems. Employing the PRISMA methodology, the review covers articles from 2017 to 2024, synthesizing insights from 37 selected articles. Key themes, challenges, and opportunities associated with digital transformation in the welfare state are identified. The study offers valuable insights for policymakers, scholars, and practitioners navigating the complex intersection of technology and welfare provision. It underscores the need for a balanced approach to welfare transformation, addressing both the benefits of digitalization and potential challenges such as exclusion, citizen profiling, and other ethical concerns
Data science · Epistemology · MEDLINE · Paradigm shift · Political science · Politics · Sociology · State (computer science · Systematic review · Welfare · Welfare state · Computer Science · Digital Economy and Work Transformation · Philosophy
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| Unique citing works | 10 |
|---|---|
| Citations per year | 10 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |