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TRUST AND DISTRUST IN ORGANIZATIONS: Emerging Perspectives, Enduring Questions
Abstract
▪ Abstract Scholarly interest in the study of trust and distrust in organizations has grown dramatically over the past five years. This interest has been fueled, at least in part, by accumulating evidence that trust has a number of important benefits for organizations and their members. A primary aim of this review is to assess the state of this rapidly growing literature. The review examines recent progress in conceptualizing trust and distrust in organizational theory, and also summarizes evidence regarding the myriad benefits of trust within organizational systems. The review also describes different forms of trust found in organizations, and the antecedent conditions that produce them. Although the benefits of trust are well-documented, creating and sustaining trust is often difficult. Accordingly, the chapter concludes by examining some of the psychological, social, and institutional barriers to the production of trust.
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Murtaza, Z., Sharma, I., & Carbonell, P. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123806 · Cited by 46
Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation
Kraus, J. M., Forster, Y., Hergeth, S., & Baumann, M. (2019) · International Journal of Mobile Human Computer Interaction · doi:10.4018/ijmhci.2019070101 · Cited by 42
Kirs, P., & Bagchi, K. (2012) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.02.003 · Cited by 41
King, N., Finlay, L., Ashworth, P., Smith, J. A., Langdridge, D., & Butt, T. (2008) · Qualitative Research in Psychology · doi:10.1080/14780880802070559 · Cited by 41
On sanction-goal justifications: How and why deterrence justifications undermine rule compliance.
Mooijman, M., van Dijk, W. W., van Dijk, E., & Ellemers, N. (2017) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000084 · Cited by 36
Trust, Decision Rights Delegation, and Performance—The Case of Franchising
Herz, M., Hutzinger, C., Seferagic, H., & Windsperger, J. (2016) · Journal of Small Business Management · doi:10.1111/jsbm.12227 · Cited by 35
Cann, R. F., Sinnema, C., Daly, A. J., Rodway, J., & Liou, Y.-H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.775614 · Cited by 29
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(2018) · DigitalCommons - Kennesaw State University (Kennesaw State University)
Metadata
- Authors
- Kramer, R. M.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 1999-02
- Volume
- 50
- Issue
- 1
- Pages
- 569-598
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2172052405
- Cited by
- 3,243
- References
- 14
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.