The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Making knowledge the basis of a dynamic theory of the firm
Abstract
Knowledge is too problematic a concept to make the task of building a dynamic knowledge‐based theory of the firm easy. We must also distinguish the theory from the resource‐based and evolutionary views. The paper begins with a multitype epistemology which admits both the pre‐ and subconscious modes of human knowing and, reframing the concept of the cognizing individual, the collective knowledge of social groups. While both Nelson and Winter, and Nonaka and Takeuchi, successfully sketch theories of the dynamic interactions of these types of organizational knowledge, neither indicates how they are to be contained. Callon and Latour suggest knowledge itself is dynamic and contained within actor networks, so moving us from knowledge as a resource toward knowledge as a process. To simplify this approach, we revisit sociotechnical systems theory, adopt three heuristics from the social constructionist literature, and make a distinction between the systemic and component attributes of the actor network. The result is a very different mode of theorizing, less an objective statement about the nature of firms ‘out there’ than a tool to help managers discover their place in the firm as a dynamic knowledge‐based activity system.
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
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Knowledge of the firm, combinative capabilities, and the replication of technology
Kogut, B., & Zander, U. (1992) · Organization Science · doi:10.1287/orsc.3.3.383 · Cited by 12,939
Organizational Learning: A Theory of Action Perspective
Argyris, C., & Schön, D. A. (1997) · Reis · doi:10.2307/40183951 · Cited by 11,113
Organizational learning: The contributing processes and the literatures
Huber, G. P. (1991) · Organization Science · doi:10.1287/orsc.2.1.88 · Cited by 8,072
Technological paradigms and technological trajectories
Dosi, G. (1982) · Research Policy · doi:10.1016/0048-7333(82)90016-6 · Cited by 6,685
Grant, R. M. (1996) · Organization Science · doi:10.1287/orsc.7.4.375 · Cited by 5,649
Strategic Factor Markets: Expectations, Luck, and Business Strategy
Barney, J. B. (1986) · Management Science · doi:10.1287/mnsc.32.10.1231 · Cited by 5,548
The state and technical innovation: a case-study of the electrical vehicle in France
Callon, M. (1980) · Research Policy · doi:10.1016/0048-7333(80)90032-3 · Cited by 223
Cited by
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
Knowledge management: An organizational capabilities perspective
Gold, A. H., Malhotra, A., & Segars, A. H. (2001) · Journal of Management Information Systems · doi:10.1080/07421222.2001.11045669 · Cited by 6,233
Knowing in Practice: Enacting a Collective Capability in Distributed Organizing
Orlikowski, W. J. (2002) · Organization Science · doi:10.1287/orsc.13.3.249.2776 · Cited by 3,021
EFFECTS OF AGE AT ENTRY , KNOWLEDGE INTENSITY, AND IMITABILITY ON INTERNATIONAL GROWTH.
Autio, E., Sapienza, H. J., & Almeida, J. G. (2000) · Academy of Management Journal · doi:10.2307/1556419 · Cited by 2,748
Nonaka, I., & von Krogh, G. (2009) · Organization Science · doi:10.1287/orsc.1080.0412 · Cited by 1,939
Metadata
- Authors
- Spender, J. ‐.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 1996-12
- Volume
- 17
- Issue
- S2
- Pages
- 45-62
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W1518732113
- Cited by
- 4,330
- References
- 8
- FWCI
- 93.64
- 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: Making knowledge the basis of a dynamic theory of the firm. https://app.cochat.ai/papers/10.1002/smj.4250171106
- The paper
- Spender, J. ‐. (1996). Making knowledge the basis of a dynamic theory of the firm. Strategic Management Journal. https://doi.org/10.1002/smj.4250171106
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.