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Explaining global network emergence and nonemergence: Comparing the processes of network formation for tuberculosis and pneumonia

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  • Kathryn Quissell
  • David Berlan
  • Jeremy Shiffman
  • Gill Walt

Abstract

Increased attention is being paid to networks in public administration and development policy, yet there is limited understanding of how voluntary global networks form and why some of these networks cohere and emerge faster than others. Comparisons between the global networks for tuberculosis (TB) and pneumonia reveal processes of network formation relevant to other contexts. Though selected as most similar paired cases, their trajectories of network emergence diverged and TB's formed far earlier and more easily. By using a theoretic framework allowing for networks to be considered as outcomes of a policy process, this study reveals an iterative process of network emergence corresponding to the three streams model of issue attention. Successful emergence is based on building shared identities among policy entrepreneurs, agreeing on issue frames, creating institutions, developing relationships, sustaining latent networks during issue neglect, and linking to opportunities in the policy environment. Further, this study reveals that once formed, network structures enable access to political opportunities and more effective development policymaking and governance. Additionally, for networks struggling to take shape, we identify deliberate efforts that can overcome earlier iterations of failed attempts at network formation.

Suggested Citation

  • Kathryn Quissell & David Berlan & Jeremy Shiffman & Gill Walt, 2018. "Explaining global network emergence and nonemergence: Comparing the processes of network formation for tuberculosis and pneumonia," Public Administration & Development, Blackwell Publishing, vol. 38(4), pages 144-153, October.
  • Handle: RePEc:wly:padxxx:v:38:y:2018:i:4:p:144-153
    DOI: 10.1002/pad.1836
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    Cited by:

    1. Lopreite, Milena & Puliga, Michelangelo & Riccaboni, Massimo & De Rosis, Sabina, 2021. "A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia," Social Science & Medicine, Elsevier, vol. 278(C).

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