How does collaborative governance evolve? Insights from a medium-n case comparison
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In: Policy and Society, Vol. 39, No. 4, 01.10.2020, p. 617-637.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - How does collaborative governance evolve?
T2 - Insights from a medium-n case comparison
AU - Ulibarri, Nicola
AU - Emerson, Kirk
AU - Imperial, Mark T.
AU - Jager, Nicolas W.
AU - Newig, Jens
AU - Weber, Edward
N1 - Publisher Copyright: © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Understanding the performance of collaborative governance regimes (CGRs) necessitates an understanding of how stakeholders and their interactions evolve over time. However, few studies assess the evolution of the structure or process dynamics of CGRs over time. This paper contributes to our understanding of the longitudinal dynamics of CGRs. We apply a modified grounded theory approach to a dataset of collaboration case studies to develop empirically-based theory about how often CGRs persist over time, how different components of CGRs evolve over time, what conditions support or hinder this evolution, and how different developmental trajectories lead to differences in the outputs and outcomes achieved by these groups. We find that CGRs follow a variety of trajectories, from failing to initiate, to achieving their work in a relatively quick time, to sustaining their operations for decades, to incurring slow or rapid declines in health. Additionally, many characteristics of CGRs, including leadership, collaborative process, accountability, and outputs/outcomes, peak at the midpoint of the observed time, suggesting that at some point, even stable and healthy collaborations incur some decline in their robustness. As an exploratory study, this work highlights the need for a better accounting of how CGRs develop, sustain, evolve, and decline over time.
AB - Understanding the performance of collaborative governance regimes (CGRs) necessitates an understanding of how stakeholders and their interactions evolve over time. However, few studies assess the evolution of the structure or process dynamics of CGRs over time. This paper contributes to our understanding of the longitudinal dynamics of CGRs. We apply a modified grounded theory approach to a dataset of collaboration case studies to develop empirically-based theory about how often CGRs persist over time, how different components of CGRs evolve over time, what conditions support or hinder this evolution, and how different developmental trajectories lead to differences in the outputs and outcomes achieved by these groups. We find that CGRs follow a variety of trajectories, from failing to initiate, to achieving their work in a relatively quick time, to sustaining their operations for decades, to incurring slow or rapid declines in health. Additionally, many characteristics of CGRs, including leadership, collaborative process, accountability, and outputs/outcomes, peak at the midpoint of the observed time, suggesting that at some point, even stable and healthy collaborations incur some decline in their robustness. As an exploratory study, this work highlights the need for a better accounting of how CGRs develop, sustain, evolve, and decline over time.
KW - Politics
KW - collaborative governance
KW - developmental dynamics
KW - outputs and outcomes
KW - collaboration
UR - http://www.scopus.com/inward/record.url?scp=85086478140&partnerID=8YFLogxK
U2 - 10.1080/14494035.2020.1769288
DO - 10.1080/14494035.2020.1769288
M3 - Journal articles
VL - 39
SP - 617
EP - 637
JO - Policy and Society
JF - Policy and Society
SN - 1449-4035
IS - 4
ER -