Unraveling the dynamics of information exchange in governance networks: Opportunity structures in anti‐corruption multi‐stakeholder partnerships

Abstract Information exchange is critical to the functionality of governance networks. Traditionally, it has been argued that actors within governance networks tend to engage in information exchange with others who share similar beliefs and motivations, as these are deemed catalysts for achieving collective objectives. An alternative viewpoint posits that actors may prioritize strategies aimed at minimizing transaction costs and maximizing returns when selecting their partners. This paper proposes that information exchange predominantly occurs with partners who are easily accessible (i.e., where transaction costs are low) and with partners who are perceived as influential (i.e., where benefits are high). To investigate these alternative propositions, we examine three distinct opportunity structures that actors may utilize, which are based on their preferences for (1) partners with similar participatory motivations, (2) partners who co‐participate in institutional committees, and (3) those perceived as influential. We empirically test these opportunity structures using unique survey data gathered from 10 anti‐corruption multi‐stakeholder partnerships within the public infrastructure domain in countries of Latin America, Africa, and Eurasia. Results from Exponential Random Graph Models suggest that shared participatory motivations do not significantly impact information exchange within our context, whereas the perceived influence of a partner emerges as a critical predictor. In addition, co‐participation in institutional committees significantly facilitates information dissemination, particularly when those committees involve discussions on deliberating about strategies to communicate findings on public‐sector infrastructure discrepancies and formulating recommendations to governments on transparency and accountability. These findings prompt discussions on four network management strategies aimed at restructuring networks and fostering stakeholder involvement and inclusivity.

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Publication Details

Journal
Review of Policy Research
Published
2024-09-17
DOI
https://doi.org/10.1111/ropr.12629
Citations
2
Primary Topic
Public Policy and Administration Research
Type
article
Field-Weighted Citation Impact
1.71

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article

Unraveling the dynamics of information exchange in governance networks: Opportunity structures in anti‐corruption multi‐stakeholder partnerships

Marc Estève, José Antonio Reyes-Gonzalez, Filip Agneessens
2 citations
Review of Policy Research
Public Policy and Administration Research
1.71
article

Unraveling the dynamics of information exchange in governance networks: Opportunity structures in anti‐corruption multi‐stakeholder partnerships

Marc Estève, José Antonio Reyes-Gonzalez, Filip Agneessens
article en
2 citations

Abstract

Abstract Information exchange is critical to the functionality of governance networks. Traditionally, it has been argued that actors within governance networks tend to engage in information exchange with others who share similar beliefs and motivations, as these are deemed catalysts for achieving collective objectives. An alternative viewpoint posits that actors may prioritize strategies aimed at minimizing transaction costs and maximizing returns when selecting their partners. This paper proposes that information exchange predominantly occurs with partners who are easily accessible (i.e., where transaction costs are low) and with partners who are perceived as influential (i.e., where benefits are high). To investigate these alternative propositions, we examine three distinct opportunity structures that actors may utilize, which are based on their preferences for (1) partners with similar participatory motivations, (2) partners who co‐participate in institutional committees, and (3) those perceived as influential. We empirically test these opportunity structures using unique survey data gathered from 10 anti‐corruption multi‐stakeholder partnerships within the public infrastructure domain in countries of Latin America, Africa, and Eurasia. Results from Exponential Random Graph Models suggest that shared participatory motivations do not significantly impact information exchange within our context, whereas the perceived influence of a partner emerges as a critical predictor. In addition, co‐participation in institutional committees significantly facilitates information dissemination, particularly when those committees involve discussions on deliberating about strategies to communicate findings on public‐sector infrastructure discrepancies and formulating recommendations to governments on transparency and accountability. These findings prompt discussions on four network management strategies aimed at restructuring networks and fostering stakeholder involvement and inclusivity.

Review of Policy ResearchVol. 42(3)
University of Trento (IT), University College London (GB)
University College London
Openalex Percentile: Top 16%
Public Policy and Administration Research
1.71
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