The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Organization Science as Social Construction: Postmodern Potentials
Abstract
We critically examine three major assumptions of modernist organization science: rational agency, empirical knowledge, and language as representation. With these assumptions problematized, we are positioned for a postmodern turn in the discipline. From a postmodern standpoint, we are moved to replace rational agency with communal rationality, empirical knowledge with social construction, and language as representation with language as action. Outcomes for an organization science place special emphasis on reconstructing and enriching the aims and methods of research and on critical reflection, generative theorizing, and scholarly action within organizations.
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Cites
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Cited by
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On Being Positive: Concerns and Counterpoints
Fineman, S. (2006) · Academy of Management Review · doi:10.5465/amr.2006.20208680 · Cited by 507
Organizational change as shifting conversations
Ford, J. D. (1999) · Journal of Organizational Change Management · doi:10.1108/09534819910300855 · Cited by 300
Building trust and collaboration in a virtual team
Holton, J. A. (2001) · Team Performance Management: An International Journal · doi:10.1108/13527590110395621 · Cited by 269
Making sense of common sense for change management buy-in
Moon, M. Y. (2009) · Management Decision · doi:10.1108/00251740910946769 · Cited by 31
Metadata
- Authors
- Gergen, K. J., & Thatchenkery, T. J.
- Venue
- The Journal of Applied Behavioral Science
- Publisher
- SAGE Publications
- Published
- 1996-12
- Volume
- 32
- Issue
- 4
- Pages
- 356-377
- ISSN
- 0021-8863 (ISSN-L)
- 1552-6879
- OpenAlex
- W2100291493
- Cited by
- 289
- References
- 86
- FWCI
- 8.61
- 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.