The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
R&D, organization structure, and the development of corporate technological knowledge
Abstract
We explore the link between a firm's organization of research—specifically, its choice to operate a centralized or decentralized R&D structure—and the type of innovation it produces. We propose that by reducing the internal transaction costs associated with R&D coordination across units, centralized R&D will generate innovations that have a larger and broader impact on subsequent technological evolution than will decentralized research. We also propose that, by facilitating more distant (‘capabilities‐broadening’) search, centralized R&D will generate innovations that draw on a wider range of technologies. Our empirical results provide support for our predictions concerning impact, and mixed results for our predictions concerning breadth of search. We also find that control over research budgets complements direct authority relations in contributing to innovative impact. We propose several extensions of this research. Copyright © 2004 John Wiley & Sons, Ltd.
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Cites
Theory of the firm: Managerial behavior, agency costs and ownership structure
Jensen, M. C., & Meckling, W. H. (1976) · Journal of Financial Economics · doi:10.1016/0304-405x(76)90026-x · Cited by 71,491
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
An Evolutionary Theory of Economic Change.
Loasby, B. J., Nelson, R. R., & Winter, S. G. (1983) · The Economic Journal · doi:10.2307/2232409 · Cited by 21,366
Markets and Hierarchies: Analysis and Antitrust Implications.
O'Brien, D. P., & Williamson, O. E. (1976) · The Economic Journal · doi:10.2307/2230812 · Cited by 13,381
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
The Core Competence of the Corporation
Prahalad, C. K., & Hamel, G. (2006) · Strategische Unternehmungsplanung — Strategische Unternehmungsführung · doi:10.1007/3-540-30763-x_14 · Cited by 11,433
The Economic Institutions of Capitalism
(1986) · The Antitrust Bulletin · doi:10.1177/0003603x8603100308 · Cited by 10,730
An Evolutionary Theory of Economic Change
Berkowitz, M. K., Nelson, R. R., & Winter, S. G. (1983) · Southern Economic Journal · doi:10.2307/1058233 · Cited by 10,549
Economic Welfare and the Allocation of Resources for Invention
Arrow, K. J. (1962) · The Rate and Direction of Inventive Activity · doi:10.1515/9781400879762-024 · Cited by 8,635
Henderson, R. M., & Clark, K. B. (1990) · Administrative Science Quarterly · doi:10.2307/2393549 · Cited by 8,357
Cited by
Van Wijk, R., Jansen, J. J. P., & Lyles, M. A. (2008) · Journal of Management Studies · doi:10.1111/j.1467-6486.2008.00771.x · Cited by 1,335
Carnabuci, G., & Operti, E. (2013) · Strategic Management Journal · doi:10.1002/smj.2084 · Cited by 596
Task Design, Motivation, and Participation in Crowdsourcing Contests
Zheng, H., Li, D., & Hou, W. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415150402 · Cited by 538
Innovation and Incentives: Evidence from Corporate R&D
Lerner, J., & Wulf, J. (2007) · Review of Economics and Statistics · doi:10.1162/rest.89.4.634 · Cited by 482
Evolution of R&D Capabilities: The Role of Knowledge Networks Within a Firm
Nerkar, A., & Paruchuri, S. (2005) · Management Science · doi:10.1287/mnsc.1040.0354 · Cited by 466
Metadata
- Authors
- Argyres, N. S., & Silverman, B. S.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 2004-07-20
- Volume
- 25
- Issue
- 8-9
- Pages
- 929-958
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W1982213224
- Cited by
- 600
- References
- 75
- FWCI
- 42.46
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
