The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
The antecedents of buying firms' efforts to improve suppliers
Abstract
This study examined the factors that precede buying firms' time and resource investments in supplier development. Supplier development is any effort by a buying firm with a supplier to improve the supplier's performance and/or capabilities and to meet the buying firm's short and/or long term supply needs. The purposes of the study were to identify important factors that influence a firm's involvement in supplier development, develop reliable and valid measures of these factors, and test hypotheses regarding how the factors interrelate. We tested the hypotheses that the buying firm's environment and top management's recognition of purchasing's importance, influence the buying firm to adopt a strategic perspective toward supplier performance. We further hypothesized that the firm's strategic perspective toward supplier performance influences supplier commitment to the buying firm. The primary dependent factor is the buying firm's involvement in supplier development activities. The antecedents to this factor include supplier commitment, expectation of relationship continuity and effective buyer–supplier communication. Multiple‐item scales were used to measure the factors. A structural model that postulates the relationships among these factors was tested using data gathered from a cross‐industry sample of high‐level U.S. purchasing executives.
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Cites
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
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Coase, R. H. (1937) · Economica · doi:10.1111/j.1468-0335.1937.tb00002.x · Cited by 23,972
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
(1991) · Cited by 15,554
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
(1985) · Cited by 7,244
Mail and Telephone Surveys: The Total Design Method.
Babbie, E., & Dillman, D. A. (1982) · Contemporary Sociology · doi:10.2307/2068433 · Cited by 6,852
The Economics of Organization: The Transaction Cost Approach
Williamson, O. E. (1981) · American Journal of Sociology · doi:10.1086/227496 · Cited by 6,438
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Awaysheh, A., & Klassen, R. D. (2010) · International Journal of Operations & Production Management · doi:10.1108/01443571011094253 · Cited by 555
e‐Integration in the Supply Chain: Barriers and Performance*
Frohlich, M. T. (2002) · Decision Sciences · doi:10.1111/j.1540-5915.2002.tb01655.x · Cited by 382
BUYER–SUPPLIER RELATIONSHIPS: DERIVED VALUE OVER TWO DECADES
TERPEND, R., TYLER, B. B., KRAUSE, D. R., & HANDFIELD, R. B. (2008) · Journal of Supply Chain Management · doi:10.1111/j.1745-493x.2008.00053.x · Cited by 300
Self-citationA contextual analysis of the impact of strategic sourcing and E-procurement on performance
Kim, M., Suresh, N. C., & Kocabasoglu-Hillmer, C. (2015) · Journal of Business & Industrial Marketing · doi:10.1108/jbim-01-2012-0010 · Cited by 54
Metadata
- Authors
- Krause, D. R.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 1998-12-09
- Volume
- 17
- Issue
- 2
- Pages
- 205-224
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2041415037
- Cited by
- 494
- References
- 55
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- closed
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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.