File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1080/15309576.2024.2405839
- Find via
Supplementary
-
Citations:
- Appears in Collections:
Article: Meta-analyzing the trust-performance link in collaboration: Moderating effects of contexts, dynamics, and methodological approaches
Title | Meta-analyzing the trust-performance link in collaboration: Moderating effects of contexts, dynamics, and methodological approaches |
---|---|
Authors | |
Issue Date | 25-Sep-2024 |
Publisher | Taylor and Francis Group |
Citation | Public Performance and Management Review, 2024 How to Cite? |
Abstract | Trust is vital for effective collaboration, but its impact on collaboration performance has produced inconsistent findings. This study examines the trust-collaboration performance link by testing the moderating effects of diverse conceptual and contextual factors. Through a comprehensive meta-analysis of 31 empirical studies, we synthesize siloed findings and offer a systematic and evidence-based examination of the trust-collaboration performance link. Our findings show that the trust-collaboration performance relationship is positive and stronger when trust is cognition-based rather than affect-based, when performance content focuses on process and outcomes, and when performance is subjectively measured. In addition, trust is more important in low generalized trust countries and in cross-sectoral or nonprofit collaboration. These moderation effects manifest differently in different collaboration forms, with trust playing a less salient role in contracting. These findings unravel the nuanced dynamics of trust within collaboration and have substantial implications for scholars and practitioners in collaborative governance and network management. |
Persistent Identifier | http://hdl.handle.net/10722/350821 |
ISSN | 2023 Impact Factor: 2.2 2023 SCImago Journal Rankings: 1.021 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, Hui | - |
dc.contributor.author | Zhang, Jiasheng | - |
dc.contributor.author | Huang, Kun | - |
dc.date.accessioned | 2024-11-03T00:30:37Z | - |
dc.date.available | 2024-11-03T00:30:37Z | - |
dc.date.issued | 2024-09-25 | - |
dc.identifier.citation | Public Performance and Management Review, 2024 | - |
dc.identifier.issn | 1530-9576 | - |
dc.identifier.uri | http://hdl.handle.net/10722/350821 | - |
dc.description.abstract | <p>Trust is vital for effective collaboration, but its impact on collaboration performance has produced inconsistent findings. This study examines the trust-collaboration performance link by testing the moderating effects of diverse conceptual and contextual factors. Through a comprehensive meta-analysis of 31 empirical studies, we synthesize siloed findings and offer a systematic and evidence-based examination of the trust-collaboration performance link. Our findings show that the trust-collaboration performance relationship is positive and stronger when trust is cognition-based rather than affect-based, when performance content focuses on process and outcomes, and when performance is subjectively measured. In addition, trust is more important in low generalized trust countries and in cross-sectoral or nonprofit collaboration. These moderation effects manifest differently in different collaboration forms, with trust playing a less salient role in contracting. These findings unravel the nuanced dynamics of trust within collaboration and have substantial implications for scholars and practitioners in collaborative governance and network management.<br></p> | - |
dc.language | eng | - |
dc.publisher | Taylor and Francis Group | - |
dc.relation.ispartof | Public Performance and Management Review | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Meta-analyzing the trust-performance link in collaboration: Moderating effects of contexts, dynamics, and methodological approaches | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/15309576.2024.2405839 | - |
dc.identifier.eissn | 1557-9271 | - |
dc.identifier.issnl | 1530-9576 | - |