The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Policy learning and policy change: theorizing their relations from different perspectives
Open accessAbstract
All politics and policy issues involve the accumulation of data about problems and solutions in context of social interactions. Drawing on these data, policy actors acquire, translate, and disseminate new information and knowledge toward achieving political endeavors and for revising or strengthening their policy-related beliefs over time. ‘Policy learning’ is a concept that refers to this cognitive and social dynamic. Articles in this special issue examine the relationship between policy learning and policy change from different theoretical perspectives. In this introduction to the special issue, we describe the current approaches that structure the field and gaps in knowledge separating policy learning and policy change. We introduce a refined conceptual framework to outline and compare the articles in the issue. These articles point to several facets of the learning phenomenon. First, the articles focus on the nature and consequences of learning by specific groups of society, such as advocacy coalitions, epistemic communities, citizens, street-level bureaucrats, and policy brokers. Second, they present learning processes in which information and experience are used to acquire new knowledge on policy objectives to substantiate and legitimize them or to change or form beliefs. Third, they identify several cognitive and social processes to strengthen the connection between policy learning and policy change. Finally, the articles point to several psychological, social, and institutional factors fostering or impeding these cognitive and social processes. This introduction concludes with avenues for future research.
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Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 13,723
Introduction: epistemic communities and international policy coordination
Haas, P. M. (1992) · International Organization · doi:10.1017/s0020818300001442 · Cited by 7,584
Policy paradigms, social learning, and the state: The case of economic policymaking in Britain
Hall, P. A. (1993) · Comparative Politics · doi:10.2307/422246 · Cited by 7,369
Policy Change and Learning: An Advocacy Coalition Approach
Roberts, A., Sabatier, P. A., & Jenkins-Smith, H. C. (1994) · Canadian Public Policy / Analyse de Politiques · doi:10.2307/3551961 · Cited by 3,628
Learning from Abroad: The Role of Policy Transfer in Contemporary Policy‐Making
Dolowitz, D. P., & Marsh, D. (2000) · Governance · doi:10.1111/0952-1895.00121 · Cited by 3,314 · cited 4×
“…and complications associated with policy learning has produced a literature on this phenomenon that has constantly evolved (for reviews, see e.g. Bennett & Howlett, 1992; Dolowitz & Marsh, 2000; Dunlop & Radaelli, 2013; Freeman, 2006; Grin & Loeber, 2007; Parsons, 1995; Sabatier & Schlager, 2000).”
BackgroundInfluentialA Behavioral Theory of the Firm
Baumol, W. J., Cyert, R. M., & March, J. G. (1964) · Journal of Marketing Research · doi:10.2307/3150326 · Cited by 3,010
(1981) · Cited by 1,972
Handbook of organizational design
Hanken, A. F. G. (1982) · European Journal of Operational Research · doi:10.1016/0377-2217(82)90139-4 · Cited by 1,812
Frame Reflection: Toward the Resolution of Intractable Policy Controversies
Meyer, P. B. (1995) · Journal of Economic Issues · doi:10.1080/00213624.1995.11505729 · Cited by 1,710
Cited by
COVID-19 and the policy sciences: initial reactions and perspectives
Weible, C. M., Nohrstedt, D., Cairney, P., Carter, D. P., Anderson, D., Durnová, A. P., Heikkila, T., Ingold, K., McConnell, A., & Stone, D. (2020) · Policy Sciences · doi:10.1007/s11077-020-09381-4 · Cited by 602
Self-citationVarieties of Policy Feedback Research: Looking Backward, Moving Forward
Béland, D., & Schlager, E. (2019) · Policy Studies Journal · doi:10.1111/psj.12340 · Cited by 208
Metadata
- Authors
- Moyson, S., Scholten, P., & Weible, C. M.
- Venue
- Policy and Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-04-03
- Volume
- 36
- Issue
- 2
- Pages
- 161-177
- ISSN
- 1449-4035 (ISSN-L)
- 1839-3373
- OpenAlex
- W2621060818
- Cited by
- 313
- References
- 50
- FWCI
- 87.55
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.