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Understanding policy transfer through social network analysis: expanding methodologies with an intensive case study approach

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  • Christopher Walker

    (The Australia and New Zealand School of Government (ANZSOG)
    Griffith University)

  • Alex Moulis

    (The Australia and New Zealand School of Government (ANZSOG)
    Griffith University)

Abstract

This work demonstrates the expanding methodological approaches to the study of transnational policy transfer and combines the quantitative methods of SNA and the generation of sociograms with qualitative processes of iterative validation with key informants. The work maps and then critiques the differences in domestic policy networks and transfer policy networks. Transfer networks are distinct from domestic operational networks, yet each is interrelated and retains shared interests. Diagnosing and plotting the structure, density and complexity of actor relations in one domestic policy network provides insight into the challenges that another jurisdiction may face to effectively adopt and implement a similar policy once it progresses through transfer. An important contribution of this work is how SNA more explicitly highlights the connection of transnational policy transfer structures to key nodes in domestic networks and the dual role these actors play in the very differently configured domestic (operational) and transfer networks. In this case, we see how transnational policy transfer is both strengthened and constrained by its network relations with domestic policy systems. While actors effectively interact in the exchange of information and share ideas to support policy transfer, network analysis would also suggest a distinctly different network of actors is required to achieve effective adoption and local implementation.

Suggested Citation

  • Christopher Walker & Alex Moulis, 2022. "Understanding policy transfer through social network analysis: expanding methodologies with an intensive case study approach," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(4), pages 693-713, December.
  • Handle: RePEc:kap:policy:v:55:y:2022:i:4:d:10.1007_s11077-022-09477-z
    DOI: 10.1007/s11077-022-09477-z
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    References listed on IDEAS

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    1. Dragana Bojovic & Carlo Giupponi, 2020. "Understanding the dissemination and adoption of innovations through social network analysis: geospatial solutions for disaster management in Nepal and Kenya," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(5), pages 818-841, April.
    2. Chisung Park & Mark Wilding & Changho Chung, 2014. "The importance of feedback: Policy transfer, translation and the role of communication," Policy Studies, Taylor & Francis Journals, vol. 35(4), pages 397-412, July.
    3. Murdie, Amanda, 2014. "The Ties that Bind: A Network Analysis of Human Rights International Nongovernmental Organizations," British Journal of Political Science, Cambridge University Press, vol. 44(1), pages 1-27, January.
    4. Morten T. Hansen, 2002. "Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies," Organization Science, INFORMS, vol. 13(3), pages 232-248, June.
    5. Marlene Kammerer & Chandreyee Namhata, 2018. "What drives the adoption of climate change mitigation policy? A dynamic network approach to policy diffusion," Policy Sciences, Springer;Society of Policy Sciences, vol. 51(4), pages 477-513, December.
    6. Taedong Lee & Susan Meene, 2012. "Who teaches and who learns? Policy learning through the C40 cities climate network," Policy Sciences, Springer;Society of Policy Sciences, vol. 45(3), pages 199-220, September.
    7. Ingold, Karin & Fischer, Manuel & Christopoulos, Dimitris, 2021. "The roles actors play in policy networks: Central positions in strongly institutionalized fields," Network Science, Cambridge University Press, vol. 9(2), pages 213-235, June.
    8. Stephen P. Borgatti & Rob Cross, 2003. "A Relational View of Information Seeking and Learning in Social Networks," Management Science, INFORMS, vol. 49(4), pages 432-445, April.
    9. Danielle Varda & Rich Forgette & David Banks & Noshir Contractor, 2009. "Social Network Methodology in the Study of Disasters: Issues and Insights Prompted by Post-Katrina Research," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(1), pages 11-29, February.
    10. Tonya Boone & Ram Ganeshan, 2008. "Knowledge acquisition and transfer among engineers: effects of network structure," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(5), pages 459-468.
    Full references (including those not matched with items on IDEAS)

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