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Cited by 274

The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.

Repairing Trust in Organizations and Institutions: Toward a Conceptual Framework

Open access
Bachmann, Reinhard, Gillespie, Nicole, Priem, Richard·2015·Organization Studies
DOI 10.1177/0170840615599334
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Abstract

Trust plays a fundamental role in facilitating social exchange, yet recent global events have undermined trust in many of society’s institutions and organizations. This raises the pertinent question of how trust in organizations and institutions can be restored once it has been lost. The emerging literature on trust repair is largely focused at the micro level, with limited examination of how these processes operate at the macro level and across levels. In this introductory essay, we show how the papers in this special issue each advance our understanding of macro-level trust repair. We draw on these papers, as well as the extant interdisciplinary literature, to propose an integrated conceptual model of six key mechanisms for restoring trust in organizations and institutions, highlighting the merits, limits and paradoxes of each. We conclude that no single mechanism can be relied on to rebuild organizational trust and identify a future research agenda for advancing scholarly understanding of organizational and institutional trust repair.

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Metadata

Authors
Bachmann, R., Gillespie, N., & Priem, R.
Venue
Organization Studies
Publisher
SAGE Publications
Published
2015-08-21
Volume
36
Issue
9
Pages
1123-1142
ISSN
  • 0170-8406 (ISSN-L)
  • 1741-3044
DOI
10.1177/0170840615599334
OpenAlex
W1939525847
Cited by
274
References
100
FWCI
33.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Repairing Trust in Organizations and Institutions: Toward a Conceptual Framework. https://app.cochat.ai/papers/10.1177/0170840615599334
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Bachmann, R., Gillespie, N., & Priem, R. (2015). Repairing Trust in Organizations and Institutions: Toward a Conceptual Framework. Organization Studies. https://doi.org/10.1177/0170840615599334

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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