How to build models for government
Criteria driving model acceptance in policymaking
Bibliographic Data
| ID | 10354953 |
|---|---|
| Authors | Daniel Antony Kolkman (University of Surrey, corresponding author), Paolo Campo (0000-0003-2089-5801, University of Surrey), Tina Balke-Visser (University of Surrey), Nigel Gilbert (0000-0002-5937-2410, University of Surrey) |
| Year | 2016 |
| Volume | 49 |
| Issue | 4 |
| Pages | 489-504 |
| Publication date | 2016-05-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Policy Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0032-2687 • E-ISSN: 1573-0891 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11077-016-9250-4 |
| OpenAlex | W2346893305 |
| Language | EN |
| Citations received | 12 |
| References cited | 27 |
Models are used to inform policymaking and underpin large amounts of government expenditure. Several authors have observed a discrepancy between the actual and potential use of models in government. While there have been several studies investigating model acceptance in government, it remains unclear under what conditions models are accepted. In this paper, we address the question “What criteria affect model acceptance in policymaking?”, the answer to which will contribute to the wider understanding of model use in government. We employ a thematic coding approach to identify the acceptance criteria for the eight models in our sample. Subsequently, we compare our findings with existing literature and use qualitative comparative analysis to explore what configurations of the criteria are observed in instances of model acceptance. We conclude that model acceptance is affected by a combination of the model’s characteristics, the supporting infrastructure and organizational factors
Affect (linguistics · Business · Coding (social sciences · Economics · Government (linguistics · Management science · Public economics · Qualitative research · Social science · Sociology · Technology Acceptance Model · Thematic analysis · Usability · Computer Science · Policy Transfer and Learning · Political Influence and Corporate Strategies · Psychology · Qualitative Comparative Analysis Research
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The Rules of the Game Called Psychological Science
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Rules, Games, and Common-Pool Resources
Models for policy-making in sustainable development
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Reconsidering evidence-based policy
Turtles all the way down
The use and non-use of policy appraisal tools in public policy making
Set Relations in Social Research
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Qualitative Comparative Analysis (QCA) and Related Systematic Comparative Methods
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| Unique citing works | 12 |
|---|---|
| Citations per year | 2 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |