How can political conflict in adversarial policy networks promote their coordination?

Authors:
Jeongyoon Lee University of Kentucky, USA

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David Lee Ewha Womans University, Republic of Korea

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Article Category:
Research Article
Copyright:
© Authors 2025
Online Publication Date:
03 Jan 2025
Pages:
360–382
Publisher:
Policy Press
Volume/Issue:
Volume 53: Issue 2
DOI:
https://doi.org/10.1332/03055736Y2024D000000052
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This article advances a new and important perspective on networks, focusing on political conflicts rather than the mainstream focus on positive aspects such as trust, collaboration and cooperation. The aim of the research is to provide insights into the factors that intensify competition, and propose strategies that can mitigate its effects, thereby enhancing network coordination. It uses the case of local fracking policy networks in the US. Drawing on a range of policy theories, the research findings advance our understanding of the underlying factors contributing to dysfunctional political competition within adversarial policy networks and offer practical insights into their coordination.

  • Ansell, C., Sørensen, E. and Torfing, J. (2017) Improving policy implementation through collaborative policymaking, Policy & Politics, 45(3): 467–86. doi: 10.1332/030557317X14972799760260

    • Search Google Scholar
    • Export Citation

  • Arora-Jonsson, S., Brunsson, N. and Hasse, R. (2020) Where does competition come from? The role of organization, Organisation Theory, 1(1). doi: 10.1177/2631787719889977

    • Search Google Scholar
    • Export Citation

  • Borgatti, S.P., Everett, M.G. and Freeman, L.C. (2002) UCINET 6 for Windows: Software for Social Network Analysis, Harvard, MA: Analytic Technologies.

    • Search Google Scholar
    • Export Citation

  • Brass, D.J., Galaskiewicz, J., Greve, H.R. and Tsai, W. (2004) Taking stock of networks and organisations: a multilevel perspective, Academy of Management Journal, 47(6): 795–817. doi: 10.5465/20159624

    • Search Google Scholar
    • Export Citation

  • Breiger, R.L., Boorman, S.A. and Arabie, P. (1975) An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling, Journal of Mathematical Psychology, 12(3): 328–83. doi: 10.1016/0022-2496(75)90028-0

    • Search Google Scholar
    • Export Citation

  • Bunger, A.C. (2013) Administrative coordination in nonprofit human service delivery networks: the role of competition and trust, Non-Profit and Voluntary Sector Quarterly, 42(6): 1155–75. doi: 10.1177/0899764012451369

    • Search Google Scholar
    • Export Citation

  • Burt, R.S. (1987) Social contagion and innovation: cohesion versus structural equivalence, American Journal of Sociology, 92(6): 1287–335. doi: 10.1086/228667

    • Search Google Scholar
    • Export Citation

  • Burt, R.S. (1992) Structural Holes: The Social Structure of Competition, Cambridge, MA: Harvard University Press.

  • Cairney, P., Fischer, M. and Ingold, K. (2018) Fracking in the UK and Switzerland: why differences in policymaking systems don’t always produce different outputs and outcomes, Policy & Politics, 46(1): 125–47. doi: 10.1332/030557316X14793989976783

    • Search Google Scholar
    • Export Citation

  • Casciaro, T. and Piskorski, M.J. (2005) Power imbalance, mutual dependence, and constraint absorption: a closer look at resource dependence theory, Administrative Science Quarterly, 50(2): 167–99. doi: 10.2189/asqu.2005.50.2.167

    • Search Google Scholar
    • Export Citation

  • Chen, M.J. and Miller, D. (2015) Reconceptualising competitive dynamics: a multidimensional framework, Strategic Management Journal, 36(5): 758–75. doi: 10.1002/smj.2245

    • Search Google Scholar
    • Export Citation

  • Christensen, J. (2021) Expert knowledge and policymaking: a multi-disciplinary research agenda, Policy & Politics, 49(3): 455–71. doi: 10.1332/030557320x15898190680037

    • Search Google Scholar
    • Export Citation

  • Coglianese, C. (2003) Does consensus work? A pragmatic approach to public participation in the regulatory process, in A. Morales (ed) Renascent Pragmatism: Studies in Law and Social Science, Aldershot: Ashgate, pp 180–95.

    • Search Google Scholar
    • Export Citation

  • Council of State Governments (2015) States, local government battle for control over fracking, https://perma.cc/272H-SUXR.

  • Cranmer, S.J., Leifeld, P., McClurg, S.D. and Rolfe, M. (2017) Navigating the range of statistical tools for inferential network analysis, American Journal of Political Science, 61(1): 237–51. doi: 10.1111/ajps.12263

    • Search Google Scholar
    • Export Citation

  • Dekker, D., Krackhardt, D. and Snijders, T.A.B. (2007) Sensitivity of MRQAP tests to collinearity and autocorrelation conditions, Psychometrika, 72(4): 563–81. doi: 10.1007/s11336-007-9016-1

    • Search Google Scholar
    • Export Citation

  • Dunlop, C.A. and Radaelli, C.M. (2018) The lessons of policy learning: types, triggers, hindrances and pathologies, Policy & Politics, 46(2): 255–72. doi: 10.1332/030557318x15230059735521

    • Search Google Scholar
    • Export Citation

  • Festinger, L. (1957) A Theory of Cognitive Dissonance, Stanford, CA: Stanford University Press.

  • Fischer, M., Ingold, K., Sciarini, P. and Varone, F. (2016) Dealing with bad guys: actor- and process-level determinants of the ‘devil shift’ in policy making, Journal of Public Policy, 36(2): 309–34. doi: 10.1017/s0143814x15000021

    • Search Google Scholar
    • Export Citation

  • Garcia, S.M., Tor, A. and Schiff, T.M. (2013) The psychology of competition: a social comparison perspective, Perspectives on Psychological Science, 8(6): 634–50. doi: 10.1177/1745691613504114

    • Search Google Scholar
    • Export Citation

  • Ghobadi, S. and D’Ambra, J. (2012) Knowledge sharing in cross-functional teams: a coopetitive model, Journal of Knowledge Management, 16(2): 285–301. doi: 10.1108/13673271211218889

    • Search Google Scholar
    • Export Citation

  • Ghoshal, S. and Bartlett, C.A. (1990) The multinational corporation as an interorganizational network, Academy of Management Review, 15(4): 603–26. doi: 10.5465/amr.1990.4310825

    • Search Google Scholar
    • Export Citation

  • Gnyawali, D.R. and Madhavan, R. (2001) Cooperative networks and competitive dynamics: a structural embeddedness perspective, Academy of Management Review, 26(3): 431–45. doi: 10.5465/amr.2001.4845820

    • Search Google Scholar
    • Export Citation

  • Gottlieb, M., Oehninger, E.B. and Arnold, G. (2018) ‘No fracking way’ vs. ‘drill baby drill’: a restructuring of who is pitted against whom in the narrative policy framework, Policy Studies Journal, 46(4): 798–827. doi: 10.1111/psj.12291

    • Search Google Scholar
    • Export Citation

  • Halpin, D.R. and Binderkrantz, A.S. (2011) Explaining breadth of policy engagement: patterns of interest group mobilization in public policy, Journal of European Public Policy, 18(2): 201–19. doi: 10.1080/13501763.2011.544499

    • Search Google Scholar
    • Export Citation

  • Harrigan, N.M., Labianca, G. and Agneessens, F. (2020) Negative ties and signed graphs research: stimulating research on dissociative forces in social networks, Social Networks, 60: 1–10. doi: 10.1016/j.socnet.2019.09.004

    • Search Google Scholar
    • Export Citation

  • Heikkila, T. and Weible, C.M. (2017) Unpacking the intensity of policy conflict: a study of Colorado’s oil and gas subsystem, Policy Sciences, 50(2): 179–93. doi: 10.1007/s11077-017-9285-1

    • Search Google Scholar
    • Export Citation

  • Howell, R.A. (2018) UK public beliefs about fracking and effects of knowledge on beliefs and support: a problem for shale gas policy, Energy Policy, 113: 721–30. doi: 10.1016/j.enpol.2017.11.061

    • Search Google Scholar
    • Export Citation

  • Hu, Q., Huang, K. and Chen, B. (2020) Professional friendship, resource competition, and collaboration in a homeless service delivery network, Human Service Organizations Management, Leadership and Governance, 44(2): 110–26. doi: 10.1080/23303131.2019.1696908

    • Search Google Scholar
    • Export Citation

  • Hu, Q., Medina, A., Siciliano, M.D. and Wang, W. (2023) Network structures and network effects across management and policy contexts: a systematic review, Public Administration, 101(3): 953–72. doi: 10.1111/padm.12835

    • Search Google Scholar
    • Export Citation

  • Huang, K. and Provan, K.G. (2007) Resource tangibility and patterns of interaction in a publicly funded health and human services network, Journal of Public Administration Research and Theory, 17(3): 435–54. doi: 10.1093/jopart/mul011

    • Search Google Scholar
    • Export Citation

  • Ingold, K. and Leifeld, P. (2016) Structural and institutional determinants of influence reputation: a comparison of collaborative and adversarial policy networks in decision making and implementation, Journal of Public Administration Research and Theory, 26(1): 1–18. doi: 10.1093/jopart/muu043

    • Search Google Scholar
    • Export Citation

  • Ingold, K. and Varone, F. (2012) Treating policy brokers seriously: evidence from the climate policy, Journal of Public Administration Research and Theory, 22(2): 319–46. doi: 10.1093/jopart/mur035

    • Search Google Scholar
    • Export Citation

  • Klijn, E.H. and Koppenjan, J. (2012) Governance network theory: past, present and future, Policy & Politics, 40(4): 587–606. doi: 10.1332/030557312x655431

    • Search Google Scholar
    • Export Citation

  • Koebele, E.A. (2020) Cross-coalition coordination in collaborative environmental governance processes, Policy Studies Journal, 48(3): 727–53. doi: 10.1111/psj.12306

    • Search Google Scholar
    • Export Citation

  • Krackhardt, D. (1988) Predicting with networks: nonparametric multiple regression analysis of dyadic data, Social Networks, 10(4): 359–81. doi: 10.1016/0378-8733(88)90004-4

    • Search Google Scholar
    • Export Citation

  • Kübler, D. (2001) Understanding policy change with the advocacy coalition framework: an application to Swiss drug policy, Journal of European Public Policy, 8(4): 623–41. doi: 10.1080/13501760110064429

    • Search Google Scholar
    • Export Citation

  • Laumann, E., Marsden, P.V. and Prensky, D. (1989) The boundary specification problem in social network analysis, in L.C. Freeman, D.R. White and A.K. Romney (eds) Applied Network Analysis: A Methodological Introduction, Fairfax, VA: George Mason University Press, pp 61–87.

    • Search Google Scholar
    • Export Citation

  • Lee, J. and Dodge, J. (2019) Keeping your enemies close: the role of distrust in structuring a local hydraulic fracturing policy network in New York, Journal of Public Administration Research and Theory, 29(2): 175–92. doi: 10.1093/jopart/muy074

    • Search Google Scholar
    • Export Citation

  • Lee, J. and Huang, K. (2023) Identity-based subgroups and information exchange in adversarial policy networks, Journal of Public Policy, 43(1): 59–85. doi: 10.1017/s0143814x22000228

    • Search Google Scholar
    • Export Citation

  • Marsden, P.V. (1990) Network data and measurement, Annual Review of Sociology, 16(1): 435–63. doi: 10.1146/annurev.so.16.080190.002251

    • Search Google Scholar
    • Export Citation

  • May, P.J. (1992) Policy learning and failure, Journal of Public Policy, 12(4): 331–54. doi: 10.1017/s0143814x00005602

  • Milward, H.B. and Francisco, R.A. (1983) Subsystem politics and corporatism in the United States, Policy & Politics, 11(3): 273–93. doi: 10.1332/030557383782628607

    • Search Google Scholar
    • Export Citation

  • Mizruchi, M.S. (1993) Cohesion, equivalence, and similarity of behavior: a theoretical and empirical assessment, Social Networks, 15(3): 275–307. doi: 10.1016/0378-8733(93)90009-A

    • Search Google Scholar
    • Export Citation

  • Obstfeld, D. (2005) Social networks, the tertius iungens orientation, and involvement in innovation, Administrative Science Quarterly, 50(1): 100–30. doi: 10.2189/asqu.2005.50.1.100

    • Search Google Scholar
    • Export Citation

  • Obstfeld, D., Borgatti, S.P. and Davis, J. (2014) Brokerage as a process: decoupling third party action from social network structure, in D.J. Brass, G. Labianca, A. Mehra, D.S. Halgin and S.P. Borgatti (eds) Contemporary Perspectives on Organizational Social Networks, Bingley: Emerald, pp 135–59.

    • Search Google Scholar
    • Export Citation

  • Offer, S. (2021) Negative social ties: prevalence and consequences, Annual Review of Sociology, 47: 177–96. doi: 10.1146/annurev-soc-090820-025827

    • Search Google Scholar
    • Export Citation

  • Ongaro, E., Sancino, A., Pluchinotta, I., Williams, H., Kitchener, M. and Ferlie, E. (2021) Strategic management as an enabler of co-creation in public services, Policy & Politics, 49(2): 287–304. doi: 10.1332/030557321x16119271520306

    • Search Google Scholar
    • Export Citation

  • Orach, K., Duit, A. and Schlüter, M. (2020) Sustainable natural resource governance under interest group competition in policy-making, Nature Human Behaviour, 4(9): 898–909. doi: 10.1038/s41562-020-0885-y

    • Search Google Scholar
    • Export Citation

  • Park, H. and Rethemeyer, R.K. (2014) The politics of connections: assessing the determinants of social structure in policy networks, Journal of Public Administration Research and Theory, 24(2): 349–79. doi: 10.1093/jopart/mus021

    • Search Google Scholar
    • Export Citation

  • Pfeffer, J. and Salancik, G.R. (2003) The External Control of Organizations: A Resource Dependence Perspective, Stanford, CA: Stanford University Press.

    • Search Google Scholar
    • Export Citation

  • Piezunka, H., Lee, W., Haynes, R. and Bothner, M.S. (2018) Escalation of competition into conflict in competitive networks of Formula One drivers, Proceedings of the National Academy of Sciences of the United States of America, 115(15): E3361–367. doi: 10.1073/pnas.1717303115

    • Search Google Scholar
    • Export Citation

  • Porac, J.F., Thomas, H., Wilson, F., Patton, D. and Kanfer, A. (1995) Rivalry and the industry model of Scottish knitwear producers, Administrative Science Quarterly, 40(2): 203–27. doi: 10.2307/2393636

    • Search Google Scholar
    • Export Citation

  • Provan, K.G. and Lemaire, R.H. (2012) Core concepts and key ideas for understanding public sector organizational networks: using research to inform scholarship and practice, Public Administration Review, 72(5): 638–48. doi: 10.1111/j.1540-6210.2012.02595.x

    • Search Google Scholar
    • Export Citation

  • Richards, G.W. (2019) The Science–Policy Relationship Hierarchy (SPRHi) model of co-production: how climate science organizations have influenced the policy process in Canadian case studies, Policy Sciences, 52(1): 67–95. doi: 10.1007/s11077-018-9328-2

    • Search Google Scholar
    • Export Citation

  • Sabatier, P.A. (1988) An advocacy coalition framework of policy change and the role of policy-oriented learning therein, Policy Sciences, 21(2–3): 129–68. doi: 10.1007/bf00136406

    • Search Google Scholar
    • Export Citation

  • Sabatier, P.A. and Jenkins-Smith, H.C. (1999) The advocacy coalition framework: an assessment, in P.A. Sabatier (ed) Theories of the Policy Process, Boulder, CO: Westview Press, pp 117–66.

    • Search Google Scholar
    • Export Citation

  • Sabatier, P.A. and Weible, C.M. (2007) The advocacy coalition framework: innovations and clarifications, in P.A. Sabatier (ed) Theories of the Policy Process, 2nd edn, Boulder, CO: Westview Press, pp 189–220.

    • Search Google Scholar
    • Export Citation

  • Sørensen, E., Bryson, J. and Crosby, B. (2021) How public leaders can promote public value through co-creation, Policy & Politics, 49(2): 267–86. doi: 10.1332/030557321x16119271739728

    • Search Google Scholar
    • Export Citation

  • Stone, D. (2017) Understanding the transfer of policy failure: bricolage, experimentalism and translation, Policy & Politics, 45(1): 55–70. doi: 10.1332/030557316x14748914098041

    • Search Google Scholar
    • Export Citation

  • Stork, D. and Richards, W.D. (1992) Nonrespondents in communication network studies: problems and possibilities, Group & Organization Management, 17(2): 193–209. doi: 10.1177/1059601192172006

    • Search Google Scholar
    • Export Citation

  • Tjosvold, D., Johnson, D.W., Johnson, R.T. and Sun, H. (2006) Competitive motives and strategies: understanding constructive competition, Group Dynamics, 10(2): 87–99. doi: 10.1037/1089-2699.10.2.87

    • Search Google Scholar
    • Export Citation

  • Tsai, W. (2002) Social structure of ‘coopetition’ within a multiunit organization: coordination, competition, and intraorganizational knowledge sharing, Organization Science, 13(2): 179–90. doi: 10.1287/orsc.13.2.179.536

    • Search Google Scholar
    • Export Citation

  • Weible, C.M. (2008) Expert-based information and policy subsystems: a review and synthesis, Policy Studies Journal, 36(4): 615–335. doi: 10.1111/j.1541-0072.2008.00287.x

    • Search Google Scholar
    • Export Citation

  • Weible, C.M. (ed) (2023) Theories of the Policy Process, 5th edn, New York: Routledge.

  • Weible, C.M. and Ingold, K. (2018) Why advocacy coalitions matter and practical insights about them, Policy & Politics, 46(2): 325–43. doi: 10.1332/030557318X15230061739399

    • Search Google Scholar
    • Export Citation

  • Weible, C.M. and Sabatier, P.A. (2009) Coalitions, science, and belief change: comparing adversarial and collaborative policy subsystems, Policy Studies Journal, 37(2): 195–212. doi: 10.1111/j.1541-0072.2009.00310.x

    • Search Google Scholar
    • Export Citation

  • Weible, C.M., Heikkila, T. and Pierce, J. (2018) Understanding rationales for collaboration in high-intensity policy conflicts, Journal of Public Policy, 38(1): 1–25. doi: 10.1017/s0143814x16000301

    • Search Google Scholar
    • Export Citation

  • Weible, C.M., Ingold, K., Nohrstedt, D., Henry, A.D. and Jenkins-Smith, H.C. (2020) Sharpening advocacy coalitions, Policy Studies Journal, 48(4): 1054–81. doi: 10.1111/psj.12360

    • Search Google Scholar
    • Export Citation

  • Weible, C.M., Siddiki, S.N. and Pierce, J.J. (2011) Foes to friends: changing contexts and changing intergroup perceptions, Journal of Comparative Policy Analysis: Research and Practice, 13(5): 499–525. doi: 10.1080/13876988.2011.605941

    • Search Google Scholar
    • Export Citation

  • Wilson, J.K. and Damania, R. (2005) Corruption, political competition and environmental policy, Journal of Environmental Economics and Management, 49(3): 516–35. doi: 10.1016/j.jeem.2004.06.004

    • Search Google Scholar
    • Export Citation

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Jeongyoon Lee University of Kentucky, USA

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David Lee Ewha Womans University, Republic of Korea

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jle240@uky.edu
lee211@ewha.ac.kr

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