Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,369

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Control Mechanisms and the Relationship Life Cycle: Implications for Safeguarding Specific Investments and Developing Commitment

Jap, Sandy D., Ganesan, Shankar·2000·Journal of Marketing Research

Abstract

Powerful suppliers often require retailers to make significant idiosyncratic investments to improve coordination between organizations and to enhance the supplier's presence in the end market. The authors examine how a retailer might better manage the hold-up potential of these transaction-specific investments (TSIs) through the use of three control mechanisms: supplier's TSIs, the development of relational norms, and the use of explicit contracts. Moreover, the authors consider the time-dependent nature of these mechanisms by observing their effects on commitment over the course of a relationship life cycle. The results indicate that (1) a retailer's TSIs have a negative effect on its perceptions of supplier commitment; (2) a supplier's TSIs and relational norms increase the retailer's perception of supplier commitment, whereas explicit contracts are associated with perceptions of lower supplier commitment; and (3) each of the three control mechanisms moderates the negative impact of retailer investments on perceptions of supplier commitment contingent on the relationship phase. Specifically, bilateral TSIs enhance commitment in the exploration phase and a positive effect during the decline phase. The results also indicate that the retailer's perceptions of supplier commitment are positively related to its evaluation of supplier performance and satisfaction and negatively related to conflict.

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 · 10.1509/jmkr.37.2.227.18735

Cites

9 of 9 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 9 references

Cited by

Metadata

Authors
Jap, S. D., & Ganesan, S.
Venue
Journal of Marketing Research
Published
2000-05
Volume
37
Issue
2
Pages
227-245
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2149230285
Cited by
1,369
References
9
FWCI
27.34
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 ›

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

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.