How to build models for government: criteria driving model acceptance in policymaking

Daniel Antony Kolkman (), Paolo Campo, Tina Balke-Visser and Nigel Gilbert
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Daniel Antony Kolkman: University of Surrey
Paolo Campo: University of Surrey
Tina Balke-Visser: University of Surrey
Nigel Gilbert: University of Surrey

Policy Sciences, 2016, vol. 49, issue 4, No 7, 489-504

Abstract: Abstract 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.

Keywords: Decision support systems; Model acceptance; Evidence-based policy; Model development (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s11077-016-9250-4

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