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Cited by 974

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The Knowledge-creating Theory Revisited: Knowledge Creation as a Synthesizing Process

Nonaka, Ikujiro, Toyama, Ryoko·2015·The Essentials of Knowledge Management

Abstract

This paper is a part of our attempt to build a new knowledge-based theory of the firm and organization to explain the dynamic process of knowledge creation and utilization. For this, we revisit the theory of knowledge creation through the SECI process and ba, and try to advance them further by incorporating the dialectic thinking. In this paper, knowledge creation is conceptualized as a dialectical process, in which various contradictions are synthesized through dynamic interactions among individuals, the organization, and the environment. With the view of a firm as a dialectic being, and strategy and organization should be re-examined as the synthesizing and self-transcending process instead of a logical analysis of structure or action. An organization is not an information-processing machine that is composed of small tasks to carry out a given task, but an organic configuration of ba. Ba, which is conceptualized as a shared context in motion, can transcend time, space, and organization boundaries to create knowledge. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Metadata

Authors
Nonaka, I., & Toyama, R.
Venue
The Essentials of Knowledge Management
Published
2015
Pages
95-110
OpenAlex
W4248243712
Cited by
974
References
9
FWCI
442.06
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Knowledge-creating Theory Revisited: Knowledge Creation as a Synthesizing Process. https://app.cochat.ai/papers/10.1057/9781137552105_4
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Nonaka, I., & Toyama, R. (2015). The Knowledge-creating Theory Revisited: Knowledge Creation as a Synthesizing Process. The Essentials of Knowledge Management. https://doi.org/10.1057/9781137552105_4

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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.