The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Impact of Just-in-Time Manufacturing and Its Infrastructure on Manufacturing Performance
Abstract
We consider Just-in-Time (JIT) to be an overall organizational phenomenon. Accordingly, we developed and tested a model that includes both JIT practices and the infrastructure practices hypothesized to provide an environment in which JIT practices perform more effectively. Canonical correlation analysis was used to test five hypotheses. The results indicated that: (1) there was not a significant relationship between the use of JIT practices, alone, and manufacturing performance, (2) there was a very strong relationship between JIT practices and infrastructure practices; (3) the combination of JIT management and infrastructure practice was related to manufacturing performance; (4) infrastructure, by itself, is sufficient to explain manufacturing performance; and (5) manufacturing performance was related to competitive advantage. These findings provide support for the notion that JIT is an overall organizational phenomenon, rather than limited to strictly shop floor practices, and that at least part of its effect on manufacturing performance may be through providing a set of improvement targets and discipline for the entire organization. In addition, the analysis highlights the areas of infrastructure practice most relevant for future research.
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
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
An analysis of variance test for normality (complete samples)
SHAPIRO, S. S., & WILK, M. B. (1965) · Biometrika · doi:10.1093/biomet/52.3-4.591 · Cited by 23,480
Cited by
Lean manufacturing: context, practice bundles, and performance
Shah, R., & Ward, P. T. (2003) · Journal of Operations Management · doi:10.1016/s0272-6963(02)00108-0 · Cited by 2,897
Defining and developing measures of lean production
Shah, R., & Ward, P. T. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.01.019 · Cited by 2,399
On the validity of subjective measures of company performance
WALL, T. D., MICHIE, J., PATTERSON, M., WOOD, S. J., SHEEHAN, M., CLEGG, C. W., & WEST, M. (2004) · Personnel Psychology · doi:10.1111/j.1744-6570.2004.tb02485.x · Cited by 1,121
KANNAN, V (2005) · Omega · doi:10.1016/j.omega.2004.03.012 · Cited by 720
Linking routines to operations capabilities: A new perspective
Peng, D. X., Schroeder, R. G., & Shah, R. (2008) · Journal of Operations Management · doi:10.1016/j.jom.2007.11.001 · Cited by 612
Self-citation
Metadata
- Authors
- Sakakibara, S., Flynn, B. B., Schroeder, R. G., & Morris, W. T.
- Venue
- Management Science
- Published
- 1997-09
- Volume
- 43
- Issue
- 9
- Pages
- 1246-1257
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W1994671213
- Cited by
- 462
- References
- 2
- FWCI
- 11.53
- 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.
