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Networks and problem recognition: advancing the Multiple Streams Approach

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  • Louise Reardon

    (University of Birmingham)

Abstract

This paper responds to recent calls for more theoretically driven advancements of the Multiple Streams Approach (MSA). It does so by bringing networks theorizing into dialogue with the MSA; highlighting the inclusionary and exclusionary power of networks for determining problem frames and issue recognition. Subsequently, the paper argues that the addition of networks provides a clearer articulation of the role of institutions in steering problem stream processes, which have often been neglected within the MSA at the expense of a focus on agency. The paper puts forward two propositions. The first is that an issue is more likely to be recognised as a problem if it is considered compatible with the ‘appreciative system’ of the network's dominant coalition. The second proposition is that the more organisations a network consists of and the more varied these organisations are, the more likely it is that the dominant coalition alters a condition’s category if there are changes in the problem stream. These propositions are explored through a comparative analysis of recognition of quality of life as a problem in two local level transport sector networks in the UK. Support for these propositions in the findings suggest that the introduction of networks into the MSA can reduce ambiguity and therefore fortuity in relation to problem recognition; second, that the power of the policy entrepreneur can be facilitated or constrained by the institutional context; and third, that comparing multiple issues and their interactions is important for further advancement of the MSA.

Suggested Citation

  • Louise Reardon, 2018. "Networks and problem recognition: advancing the Multiple Streams Approach," Policy Sciences, Springer;Society of Policy Sciences, vol. 51(4), pages 457-476, December.
  • Handle: RePEc:kap:policy:v:51:y:2018:i:4:d:10.1007_s11077-018-9330-8
    DOI: 10.1007/s11077-018-9330-8
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    References listed on IDEAS

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    Cited by:

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    3. Wilson, Christopher & van der Velden, Maja, 2022. "Sustainable AI: An integrated model to guide public sector decision-making," Technology in Society, Elsevier, vol. 68(C).
    4. Katie Attwell & Adam Hannah & Shevaun Drislane & Tauel Harper & Glenn C. Savage & Jordan Tchilingirian, 2024. "Media actors as policy entrepreneurs: a case study of “No Jab, No Play” and “No Jab, No Pay” mandatory vaccination policies in Australia," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(1), pages 29-51, March.
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    6. Marsden, Greg & Docherty, Iain, 2021. "Mega-disruptions and policy change: Lessons from the mobility sector in response to the Covid-19 pandemic in the UK," Transport Policy, Elsevier, vol. 110(C), pages 86-97.

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