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The Organic Organization and Innovation
Abstract
This study explores several variables that characterize organic organization to test whether they are associated with varying rates of innovation. The number of occupational specialities, the intensity of scheduled and unscheduled communication and, to a lesser extent, the decentralization of decision-making, are related to innovation. A review of the literature suggests other factors that are also associated with innovation: slack resources, joint programs, size, and history of innovation. With the exception of size, most of these factors are also found to be highly correlated with innovation. Our conclusion is that perhaps the technological gap is an organizational one and that, therefore, the solution to `the American challenge' is an organic form of organization.
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Citations
Cited by
Organizational innovation: A meta-analysis of effects of determinants and moderators
Damanpour, F. (1991) · Academy of Management Journal · doi:10.2307/256406 · Cited by 6,542
Hurley, R. F., & Hult, G. T. M. (1998) · Journal of Marketing · doi:10.1177/002224299806200303 · Cited by 3,971
Technology Diffusion and Organizational Learning: The Case of Business Computing
Attewell, P. (1992) · Organization Science · doi:10.1287/orsc.3.1.1 · Cited by 1,401
Damanpour, F., & Schneider, M. (2006) · British Journal of Management · doi:10.1111/j.1467-8551.2006.00498.x · Cited by 1,296
Zhu, K., Kraemer, K., & Xu, S. (2003) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000475 · Cited by 1,043
Metadata
- Authors
- Aiken, M., & Hage, J.
- Venue
- Sociology
- Publisher
- SAGE Publications
- Published
- 1971-01
- Volume
- 5
- Issue
- 1
- Pages
- 63-82
- ISSN
- 0038-0385 (ISSN-L)
- 1469-8684
- OpenAlex
- W2011574289
- Cited by
- 643
- References
- 0
- FWCI
- 14.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Aiken, M., & Hage, J. (1971). The Organic Organization and Innovation. Sociology. https://doi.org/10.1177/003803857100500105
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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.