Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 377

The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.

The Multidimensionality of Trust: Applications in Collaborative Natural Resource Management

Open access
Stern, Marc J., Coleman, Kimberly J.·2015·Society & Natural Resources

Abstract

Despite the long-recognized importance of trust in the natural resources management literature, few have drawn upon the breadth of other disciplines' investigations of trust to inform their work.This article represents an effort to break down the concept of trust into its component parts in an attempt to reorganize trust theory in a robust and practical way for collaborative natural resource management.We describe four forms of trust relevant to collaborative (and other forms of) natural resource management: dispositional trust, rational trust, affinitive trust, and procedural trust.By delineating different forms of trust, their antecedents, and their potential consequences for collaborative natural resource management, we aim to provide a useful and consistent lexicon and framework for use by researchers and practitioners in the human dimensions of natural resource management.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/08941920.2014.945062

Cites

78 of 78 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 78 references

Cited by

Metadata

Authors
Stern, M. J., & Coleman, K. J.
Venue
Society & Natural Resources
Published
2014-11-18
Volume
28
Issue
2
Pages
117-132
ISSN
  • 0894-1920 (ISSN-L)
  • 1521-0723
OpenAlex
W2058254946
Cited by
377
References
78
FWCI
11.40
Type
journal article
Language
en
Open access
hybrid

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Multidimensionality of Trust: Applications in Collaborative Natural Resource Management. https://app.cochat.ai/papers/10.1080/08941920.2014.945062
The paper
Stern, M. J., & Coleman, K. J. (2015). The Multidimensionality of Trust: Applications in Collaborative Natural Resource Management. Society & Natural Resources. https://doi.org/10.1080/08941920.2014.945062

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.