Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 596

The DOI matches its Crossref record.

Quality and Competition

Banker, Rajiv D., Khosla, Inder, Sinha, Kingshuk K.·1998·Management Science

Abstract

In recent years, the practitioner literature in operations management has seen a dramatic surge in articles on quality management. It reflects the increased emphasis on quality by U.S. firms, which has been attributed largely to increased competition faced by them. The question of how quality is influenced by competitive intensity, however, has not received much attention, either in the practitioner or the academic research literatures. The notion of competitive intensity itself has not been defined precisely. In this paper, we develop formal models of oligopolistic competition to investigate whether equilibrium levels of quality increase as competition intensifies. We consider three different competitive settings: (i) asymmetric duopolistic competition where the dominant firm's intrinsic demand potential decreases; (ii) a symmetric duopoly where the firms are precluded from cooperating in setting quality levels; and (iii) symmetric oligopolistic competition where the number of firms increases. We find that the relation between equilibrium quality and competitive intensity depends on what is understood by increased competition and, in addition, the relation is contingent on the values of parameters describing the cost and demand structure for the industry.

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 · 10.1287/mnsc.44.9.1179

Cites

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

Cited by

See all 596

Metadata

Authors
Banker, R. D., Khosla, I., & Sinha, K. K.
Venue
Management Science
Published
1998-09
Volume
44
Issue
9
Pages
1179-1192
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2103449039
Cited by
596
References
0
FWCI
12.39
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

How to cite

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

This page
CoChat. (2026). Citation check: Quality and Competition. https://app.cochat.ai/papers/10.1287/mnsc.44.9.1179
The paper
Banker, R. D., Khosla, I., & Sinha, K. K. (1998). Quality and Competition. Management Science. https://doi.org/10.1287/mnsc.44.9.1179

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.