Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 342

The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.

Power Asymmetry, Adaptation and Collaboration in Dyadic Relationships Involving a Powerful Partner

Open access
Nyaga, Gilbert N., Lynch, Daniel F., Marshall, Donna, Ambrose, Eamonn·2013·Journal of Supply Chain Management

Abstract

Buyer–supplier relationships involve dyadic interactions, but there is a dearth of empirical dyadic analysis of these relationships. While relationships with a power balance between partners do exist, relationships typically occur in the context of power asymmetry. This study examines how perceptions of power use and prevailing relationship quality in dyadic relationships characterized by substantial power asymmetry affect behavioral and operational outcomes. Hierarchical regression is used to analyze data from a dyadic survey of relationships of a brand‐name buying organization and its suppliers. Results indicate that power use affects partner behavior and operational performance, but the nature of the relationship dictates which power sources are most appropriate. In addition, the mediation effect of power imbalance shows that both relational and transactional factors can play an important role in supply chain exchanges.

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 · 10.1111/jscm.12011

Cites

101 of 101 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 101 references

Cited by

See all 342

Metadata

Authors
Nyaga, G. N., Lynch, D. F., Marshall, D., & Ambrose, E.
Venue
Journal of Supply Chain Management
Publisher
Wiley
Published
2013-07
Volume
49
Issue
3
Pages
42-65
ISSN
  • 1055-6001 (ISSN-L)
  • 1523-2409
  • 1745-493X
OpenAlex
W1971123140
Cited by
342
References
101
FWCI
35.77
Type
journal article
Language
en
Open access
green

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: Power Asymmetry, Adaptation and Collaboration in Dyadic Relationships Involving a Powerful Partner. https://app.cochat.ai/papers/10.1111/jscm.12011
The paper
Nyaga, G. N., Lynch, D. F., Marshall, D., & Ambrose, E. (2013). Power Asymmetry, Adaptation and Collaboration in Dyadic Relationships Involving a Powerful Partner. Journal of Supply Chain Management. https://doi.org/10.1111/jscm.12011

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.