The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Exploring the performance effects of key‐supplier collaboration: An empirical investigation into Swiss buyer‐supplier relationships
Abstract
Purpose: To examine the conditions under which the proposed benefits of collaboration between a firm and its suppliers will occur. Design/methodology/approach: This paper examines buyer‐supplier relationships from the point of view of the buying firm. The paper is based on a Swiss sample of OEM‐supplier relationships. The research question is empirically tested employing a sample of 135 Swiss buyer‐supplier relationships and using structured equation modelling as well as multi‐group comparison to test for quasi‐moderation effects. In this paper it is investigated under which condition collaboration with key suppliers is beneficial for buyers. By linking collaboration with key performance measures and contrasting its effects with relational constructs like trust and dependence it is hoped to add to the growing literature on inter‐organizational relationships in supply chain contexts. Findings: The results demonstrate that supplier collaboration has a positive effect on buyer performance both in terms of innovative capability and financial results. As expected, trust and dependence play an important role in supplier relationships. Research limitations/implications: This research is based on a single country (Switzerland) multi‐industry study. Generalizability to other industries or countries may be limited. Practical implications: Supplier relationships need governance modes that balance control and relational elements. Relationship controlling is an important element in building successful supplier relationships. In order to be able to reap the benefits of collaboration for the entire company, the purchasing department needs incentives that support relationship building. Managers leading a purchasing department can learn what structural elements and processes are necessary to obtain optimal benefits from their supply base. Originality/value: From a manager's viewpoint, this paper will provide additional insight into when and how collaboration can improve financial performance, enhance innovation, and reduce transaction costs..
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
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Capitalism, Socialism and Democracy
Fukuyama, F., & Schumpeter, J. A. (1997) · Foreign Affairs · doi:10.2307/20048211 · Cited by 15,264
The Economic Institutions of Capitalism
Dugger, W. M. (1987) · Journal of Economic Issues · doi:10.1080/00213624.1987.11504638 · Cited by 14,786
The Knowledge-creating company: How Japanese companies create the dynamics of innovation
(1997) · Research Policy · doi:10.1016/s0048-7333(97)80234-x · Cited by 13,156
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Not So Different After All: A Cross-Discipline View Of Trust
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998) · Academy of Management Review · doi:10.5465/amr.1998.926617 · Cited by 10,274
The balanced scorecard: Translating strategy into action
(1997) · Long Range Planning · doi:10.1016/s0024-6301(97)80925-9 · Cited by 8,192
Cited by
Delbufalo, E. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246549 · Cited by 214
Kumar, V., Jabarzadeh, Y., Jeihouni, P., & Garza-Reyes, J. A. (2020) · Supply Chain Management: An International Journal · doi:10.1108/scm-05-2019-0209 · Cited by 97
Metadata
- Authors
- Corsten, D., & Felde, J.
- Venue
- International Journal of Physical Distribution & Logistics Management
- Publisher
- Emerald
- Published
- 2005-07-01
- Volume
- 35
- Issue
- 6
- Pages
- 445-461
- ISSN
- 0960-0035 (ISSN-L)
- OpenAlex
- W1572720389
- Cited by
- 272
- References
- 57
- FWCI
- 7.88
- 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: Exploring the performance effects of key‐supplier collaboration: An empirical investigation into Swiss buyer‐supplier relationships. https://app.cochat.ai/papers/10.1108/09600030510611666
- The paper
- Corsten, D., & Felde, J. (2005). Exploring the performance effects of key‐supplier collaboration: An empirical investigation into Swiss buyer‐supplier relationships. International Journal of Physical Distribution & Logistics Management. https://doi.org/10.1108/09600030510611666
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.