How to build models for government: criteria driving model acceptance in policymaking
| Autor: | Paolo Campo, Daan Kolkman, Tina Balke-Visser, Nigel Gilbert |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Decision support system
Government Public Administration Sociology and Political Science Management science Qualitative comparative analysis 05 social sciences Social Sciences(all) General Social Sciences Sample (statistics) 010501 environmental sciences Management Monitoring Policy and Law Development Government expenditure 01 natural sciences 0506 political science Acceptance testing 050602 political science & public administration Thematic analysis Social psychology 0105 earth and related environmental sciences Evidence-based policy |
| Zdroj: | Policy Sciences. 49:489-504 |
| ISSN: | 1573-0891 0032-2687 |
| DOI: | 10.1007/s11077-016-9250-4 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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