The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Existing Knowledge, Knowledge Creation Capability, and the Rate of New Product Introduction in High-Technology Firms
Abstract
A field study of top management teams and knowledge workers from 72 technology firms demonstrated that the rate of new product and service introduction was a function of organization members' ability to combine and exchange knowledge. We tested the following as bases of that ability: the existing knowledge of employees (their education levels and functional heterogeneity), knowledge from member ego networks (number of direct contacts and strength of ties), and organizational climates for risk taking and teamwork.
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
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
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 · cited 3×
“The second stream has been more dynamic, emphasizing how knowledge, and especially new knowledge, leads to the generation of novel organizational outcomes, such as new products (Kogut & Zander, 1992).”
BackgroundAsymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
Sobel, M. E. (1982) · Sociological Methodology · doi:10.2307/270723 · Cited by 12,810
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
Burt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
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
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
Hansen, M. T. (1999) · Administrative Science Quarterly · doi:10.2307/2667032 · Cited by 5,809 · cited 3×
“Hansen (2002) argued that network relations are important to knowledge creation because they in348 April Academy of Management Journal”
BackgroundProduct development: Past research, present findings and future directions
Brown, S. L., & Eisenhardt, K. M. (1995) · The Academy of Management Review · doi:10.2307/258850 · Cited by 3,777
What Firms Do? Coordination, Identity, and Learning
Kogut, B., & Zander, U. (1996) · Organization Science · doi:10.1287/orsc.7.5.502 · Cited by 3,078
Cited by
Exploitation-Exploration Tensions and Organizational Ambidexterity: Managing Paradoxes of Innovation
Andriopoulos, C., & Lewis, M. W. (2009) · Organization Science · doi:10.1287/orsc.1080.0406 · Cited by 2,195
Value Creation and Value Capture: A Multilevel Perspective
Lepak, D. P., Smith, K. G., & Taylor, M. S. (2007) · Academy of Management Review · doi:10.5465/amr.2007.23464011 · Cited by 1,489
Self-citationDynamic Managerial Capabilities: Review and Assessment of Managerial Impact on Strategic Change
Helfat, C. E., & Martin, J. A. (2015) · Journal of Management · doi:10.1177/0149206314561301 · Cited by 1,045
Expatriate Knowledge Transfer, Subsidiary Absorptive Capacity, and Subsidiary Performance
Chang, Y.-Y., Gong, Y., & Peng, M. W. (2012) · Academy of Management Journal · doi:10.5465/amj.2010.0985 · Cited by 528
Pil, F. K., & Leana, C. (2009) · Academy of Management Journal · doi:10.5465/amj.2009.47084647 · Cited by 280
Metadata
- Authors
- Smith, K. G., Collins, C. J., & Clark, K. D.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2005-04
- Volume
- 48
- Issue
- 2
- Pages
- 346-357
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2143518083
- Cited by
- 1,336
- References
- 12
- FWCI
- 126.99
- 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: Existing Knowledge, Knowledge Creation Capability, and the Rate of New Product Introduction in High-Technology Firms. https://app.cochat.ai/papers/10.5465/amj.2005.16928421
- The paper
- Smith, K. G., Collins, C. J., & Clark, K. D. (2005). Existing Knowledge, Knowledge Creation Capability, and the Rate of New Product Introduction in High-Technology Firms. Academy of Management Journal. https://doi.org/10.5465/amj.2005.16928421
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.
