The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The impact of logistics performance on organizational performance in a supply chain context
Abstract
Purpose: The paper's aim is to theorize and assess a logistics performance model incorporating logistics performance as the focal construct with supply chain management strategy as antecedent and organizational performance, both marketing and financial, as consequences. Design/methodology/approach: Data from a national sample of 142 plant and operations managers are analyzed using a structural equation modeling methodology. Findings: The results indicate that logistics performance is positively impacted by supply chain management strategy and that both logistics performance and supply chain management strategy positively impact marketing performance, which in turn positively impacts financial performance. Neither supply chain management strategy nor logistics performance was found to directly impact financial performance. Research limitations/implications: To compete at the supply chain level, manufacturers must adopt a supply chain management strategy. Such a strategy requires integration and coordination of key external processes such as purchasing, selling, and logistics with supply chain partners. In this study the focus is limited to the impact of logistics performance on organizational performance within a supply chain context. Practical implications: As manufacturers work to improve the logistics processes, they support their organization's supply chain strategy, resulting in improved performance for the overall supply chain and ultimately their manufacturing organizations. Originality/value: Organizational managers are being asked to focus directly on supply chain functions such as logistics to bolster the competitiveness of the supply chains in which their organizations are integral partners. Does such a supply chain focus ultimately result in improved organizational performance? This study provides evidence that a supply chain focus will enhance logistics performance, which will ultimately result in improved organizational performance.
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Citations
Cites
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
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
A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · doi:10.4324/9781315749105 · Cited by 6,604
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
A Beginner's Guide to Structural Equation Modeling
Schumacker, R. E., & Lomax, R. G. (2004) · doi:10.4324/9781410610904 · Cited by 6,235
Cited by
Internal lean practices and performance: The role of technological turbulence
Chavez, R., Yu, W., Jacobs, M., Fynes, B., Wiengarten, F., & Lecuna, A. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.10.005 · Cited by 200
Metadata
- Authors
- Green, K. W., Whitten, D., & Inman, R. A.
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2008-06-20
- Volume
- 13
- Issue
- 4
- Pages
- 317-327
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W2046778140
- Cited by
- 352
- References
- 6
- FWCI
- 19.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Green, K. W., Whitten, D., & Inman, R. A. (2008). The impact of logistics performance on organizational performance in a supply chain context. Supply Chain Management: An International Journal. https://doi.org/10.1108/13598540810882206
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.