Getting a Grip on the Performance of Collaborations: Examining Collaborative Performance Regimes and Collaborative Performance Summits
Published date | 01 September 2021 |
Author | Scott Douglas,Chris Ansell |
Date | 01 September 2021 |
DOI | http://doi.org/10.1111/puar.13341 |
Research Article
951
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Abstract: Collaborative governance is popular among practitioners and scholars, but getting a grip on the performance
of collaborations remains a challenge. Recent research has made progress by identifying appropriate performance
measures, yet managing performance also requires appropriate performance routines. This article brings together insights
from collaborative governance and performance management to conceptualize collaborative performance regimes; the
collection of routines used by actors working together on a societal issue to explicate their goals, exchange performance
information, examine progress, and explore performance improvement actions. The concept of regimes is made concrete
by focusing on the specific routine of organizing a collaborative performance summit; a periodic gathering where
partners review their joint performance. Such summits are both manifestations of the performance regime and potential
turning points for regime change. Using three local public health collaborations as illustration, this article offers a
framework for understanding collaborative performance regimes, summits, and the dynamics between them.
Evidence for Practice
• The effective performance management of collaborations requires not only joint indicators, but also
processes to jointly collect and review performance information with all partners.
• Partners can choose to fully integrate their performance management processes, keep their processes separate,
or find some middle ground between autonomy and integration.
• Bringing together partners for collaborative performance summits can be valuable for gaining insights, but
these meetings can also be counterproductive when poorly run.
• The dominant performance processes within a collaboration will change over time, with summits forming
potential turning points in a collaborative performance regime.
Advancing Collaborative Performance
Management
Collaborative governance is popular among both
practitioners and scholars, but getting a grip on the
performance of collaborations remains a challenge
(Emerson and Nabatchi 2015; Gash 2017). Research
efforts have sought to identify appropriate performance
measures for collaborations, detailing the exact dimensions
or indicators to be assessed (Emerson and Nabatchi 2015;
Page et al. 2015; Provan and Milward, 2001).
However, recent performance management research
has found that effective performance management
requires appropriate performance routines as well
(Behn 2010; Gerrish 2016; James et al. 2020;
Kroll and Moynihan 2018). Performance routines
such as goal-setting processes, performance budget
negotiations, and performance reviews “structure
how [actors] experience their work” (March and
Simon 1993), help actors to make sense of ambiguity
(Noordegraaf 2017), and motivate them to improve
performance (Moynihan and Kroll 2016).
Performance management routines can be studied by
looking at the collection of routines as a whole and by
examining a specific routine in detail.
The collection of performance routines governing
an organization have been called a “performance
regime” (Jakobsen et al. 2017; Moynihan et al. 2011;
Talbot 2010), encapsulating the overall structure
and approach to performance management within
an agency. In hierarchical settings, this regime would
usually be dominated by a principal holding the
agency to account by setting goals and conducting
regular reviews (Jakobsen et al. 2017). In collaborative
settings, there may not be a clear hierarchical
relationship or even a specific goal (Ansell and
Gash 2008; Behn 2010). As actors oscillate between
the need to work together and desire to retain
autonomy, collaborative performance regimes may be
in a constant state of flux.
Specific performance routines for collaborations
are similarly difficult to grasp. For example,
Getting a Grip on the Performance of Collaborations:
Examining Collaborative Performance Regimes and
Collaborative Performance Summits
Scott Douglas Chris Ansell
Utrecht University UC Berkeley
Christopher Ansell is a Professor of
Political Science at the University of
California, Berkeley. His research focuses
on understanding how organizations,
institutions, and communities can engage
effectively in democratic governance in the
face of conflict, uncertainty, and complexity.
Email: cansell@berkeley.edu
Scott Douglas is an assistant professor
of public management at the Utrecht
School of Governance. His research focuses
on the performance management of
collaborations, working closely with public
sector organizations tackling issues such
as radicalization, educational inequality,
and obesity.
Email: s.c.douglas@uu.nl
Public Administration Review,
Vol. 81, Iss. 5, pp. 951–961. © 2020 The Authors.
Public Administration Review published
by Wiley Periodicals LLC on behalf of The
American Society for Public Administration.
DOI: 10.1111/puar.13341.
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