The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Absorptive capacity: Enhancing the assimilation of time‐based manufacturing practices
Abstract
Increasingly, manufacturers are making radical changes in management practices and investing heavily in advanced technologies as they attempt to achieve sustainable competitive advantage. Organizations seeking to implement these changes should have an internal environment that emphasizes knowledge assimilation and sharing and creates continuous learning capability, i.e., absorptive capacity. This study reviews the construct of absorptive capacity, develops a valid and reliable instrument to measure it, and examines its impact on the organization's ability to assimilate innovative manufacturing technology and management practice. To illustrate the links, this study tests the relationships among absorptive capacity, time‐based manufacturing practices, and value to customer. Structural equation modeling, applied to a relatively large sample (n= 303), indicates strong, positive, and direct relationships between absorptive capacity and time‐based manufacturing practices, and between time‐based manufacturing practices and value to customer. The managerial implications of these empirical findings are also 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
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
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
Absorptive Capacity: A Review, Reconceptualization, and Extension
Zahra, S. A., & George, G. (2002) · The Academy of Management Review · doi:10.5465/amr.2002.6587995 · Cited by 10,758
Foundations of Behavioral Research
Stockton, R., & Kerlinger, F. N. (1974) · American Educational Research Journal · doi:10.2307/1162206 · Cited by 7,347
Organizational innovation: A meta-analysis of effects of determinants and moderators
Damanpour, F. (1991) · Academy of Management Journal · doi:10.2307/256406 · Cited by 6,542
Relative absorptive capacity and interorganizational learning
Lane, P. J., & Lubatkin, M. (1998) · Strategic Management Journal · doi:10.1002/(sici)1097-0266(199805)19:5<461::aid-smj953>3.0.co;2-l · Cited by 4,648
Toyota production system: beyond large-scale production
Ohno, T., & Rosen, C. B. (1998) · CERN Document Server (European Organization for Nuclear Research) · Cited by 4,522
Cited by
Cloud computing in manufacturing: The next industrial revolution in Malaysia?
Ooi, K.-B., Lee, V.-H., Tan, G. W.-H., Hew, T.-S., & Hew, J.-J. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.10.009 · Cited by 341
Patel, P. C., Terjesen, S., & Li, D. (2012) · Journal of Operations Management · doi:10.1016/j.jom.2011.10.004 · Cited by 262
Kim, D., & Zhu, P. (2018) · Journal of Operations Management · doi:10.1016/j.jom.2018.11.002 · Cited by 253
Bevilacqua, M., Ciarapica, F. E., & De Sanctis, I. (2017) · International Journal of Production Research · doi:10.1080/00207543.2016.1211346 · Cited by 164
Kauppi, K., Brandon‐Jones, A., Ronchi, S., & van Raaij, E. M. (2013) · International Journal of Operations & Production Management · doi:10.1108/ijopm-12-2011-0445 · Cited by 64
Metadata
- Authors
- Tu, Q., Vonderembse, M. A., Ragu‐Nathan, T. S., & Sharkey, T. W.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2005-06-22
- Volume
- 24
- Issue
- 5
- Pages
- 692-710
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2161761814
- Cited by
- 331
- References
- 70
- FWCI
- 19.54
- 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: Absorptive capacity: Enhancing the assimilation of time‐based manufacturing practices. https://app.cochat.ai/papers/10.1016/j.jom.2005.05.004
- The paper
- Tu, Q., Vonderembse, M. A., Ragu‐Nathan, T. S., & Sharkey, T. W. (2006). Absorptive capacity: Enhancing the assimilation of time‐based manufacturing practices. Journal of Operations Management. https://doi.org/10.1016/j.jom.2005.05.004
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.
