The DOI matches its Crossref record; 143 of the 143 references it cites were found in a registry or an index.
A New Theory for Public Service Management? Toward a (Public) Service-Dominant Approach
Abstract
This article argues that current public management theory is not fit for purpose—if it ever has been. It argues that it contains two fatal flaws—it focuses on intraorganizational processes at a time when the reality of public services delivery is interorganizational, and it draws upon management theory derived from the experience of the manufacturing sector and which ignores the reality of public services as “services.” The article subsequently argues for a “public service dominant” approach. This not only more accurately reflects the reality of contemporary public management but also draws upon a body of substantive service-dominant theory that is more relevant to public management than the previous manufacturing focus. We argue that this approach makes an innovative contribution to public management theory in the era of the New Public Governance. The article concludes by exploring the implications of this approach in four domains of public management and by setting a research agenda for a public-service dominant theory for the future.
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Cited by
Vargo, S. L., & Lusch, R. F. (2017) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.11.001 · Cited by 1,299
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Desouza, K. C., Dawson, G. S., & Chenok, D. (2020) · Business Horizons · doi:10.1016/j.bushor.2019.11.004 · Cited by 271
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Metadata
- Authors
- Osborne, S. P., Radnor, Z., & Nasi, G.
- Venue
- The American Review of Public Administration
- Publisher
- SAGE Publications
- Published
- 2012-12-04
- Volume
- 43
- Issue
- 2
- Pages
- 135-158
- ISSN
- 0275-0740 (ISSN-L)
- 1552-3357
- OpenAlex
- W2013622618
- Cited by
- 848
- References
- 143
- FWCI
- 98.86
- Type
- journal article
- Language
- en
- Open access
- closed
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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.