The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Performance Outcomes of Purchasing Arrangements in Industrial Buyer-Vendor Relationships
Abstract
Purchasing arrangements for repetitively used industrial supplies assume many different forms. Drawing on transaction cost analysis, the authors advance a conceptual framework that organizes these arrangements along a continuum of relationships. They use data from a survey of 140 OEM purchasers of bearings to demonstrate that performance in terms of acquisition costs is enhanced when, under conditions of uncertainty, firms introduce more relational elements into their purchasing arrangements. Possession cost performance improved when larger volumes of bearings were purchased. Implications for theory and practice are discussed.
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.
Integrity signals
Registry
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.
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
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
Developing buyer-seller relationships
Dwyer, F. R., Schurr, P. H., & Oh, S. (1987) · Journal of Marketing · doi:10.1177/002224298705100202 · Cited by 9,139
Cited by
An Examination of the Nature of Trust in Buyer-Seller Relationships
Doney, P. M., & Cannon, J. P. (1997) · Journal of Marketing · doi:10.2307/1251829 · Cited by 6,822
Determinants of Long-Term Orientation in Buyer-Seller Relationships
Ganesan, S. (1994) · Journal of Marketing · doi:10.1177/002224299405800201 · Cited by 6,741
Zaheer, A., McEvily, B., & Perrone, V. (1998) · Organization Science · doi:10.1287/orsc.9.2.141 · Cited by 4,179
Understanding the influence of national culture on the development of trust
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998) · The Academy of Management Review · doi:10.2307/259297 · Cited by 1,844
Buyer–Seller Relationships in Business Markets
Cannon, J. P., & Perreault, W. D. (1999) · Journal of Marketing Research · doi:10.1177/002224379903600404 · Cited by 1,755
Metadata
- Authors
- Noordewier, T. G., John, G., & Nevin, J. R.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1990-10
- Volume
- 54
- Issue
- 4
- Pages
- 80-93
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2042301164
- Cited by
- 1,644
- References
- 2
- FWCI
- 12.94
- 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.