The DOI matches its Crossref record.
Creating Organizational Order Out of Chaos: Self-Renewal in Japanese Firms
Abstract
Based on the experiences of leading Japanese companies, this article attempts to formulate a conceptual framework of a self-renewal process of a firm. The author conceptualizes the process as the continuous creation and dissolution of organizational order, or nonequilibrium self-organizing process. Although the process is continuous, four phases can be identified: creation of chaos; amplification of fluctuation; dynamic cooperation; and restructuring of organizational knowledge. The essence of the process is not the processing of syntactic information, but the organizational creation of meaningful, semantic information. The article negates the information-processing model of organization that emphasizes such concepts as fit, balance, and equilibrium. Instead, it advocates the self-organization paradigm that sheds light on functional aspects of chaos, fluctuation, and disequilibrium.
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
Cited by
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Self-citationOrganizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
Crisis Construction and Organizational Learning: Capability Building in Catching-up at Hyundai Motor
Kim, L. (1998) · Organization Science · doi:10.1287/orsc.9.4.506 · Cited by 1,051
A cross-national comparative study of new product development processes: Japan and the United States
Song, X. M., & Parry, M. E. (1997) · Journal of Marketing · doi:10.1177/002224299706100201 · Cited by 709
The role of organizational learning in the opportunity-recognition process
Lumpkin, G. T., & Lichtenstein, B. B. (2005) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2005.00093.x · Cited by 590
Metadata
- Authors
- Nonaka, I.
- Venue
- California Management Review
- Publisher
- SAGE Publications
- Published
- 1988-04
- Volume
- 30
- Issue
- 3
- Pages
- 57-73
- ISSN
- 0008-1256 (ISSN-L)
- 2162-8564
- OpenAlex
- W2070142031
- Cited by
- 340
- References
- 0
- FWCI
- 8.37
- 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: Creating Organizational Order Out of Chaos: Self-Renewal in Japanese Firms. https://app.cochat.ai/papers/10.2307/41166514
- The paper
- Nonaka, I. (1988). Creating Organizational Order Out of Chaos: Self-Renewal in Japanese Firms. California Management Review. https://doi.org/10.2307/41166514
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.