The DOI matches its Crossref record.
Organizational Vision and Visionary Organizations
Abstract
This article presents a framework for understanding organizational vision. Vision is a term frequently used by academics and practicing managers, but there has been a scarcity of clear concepts and useful tools—in short, the absence of a coherent conceptual framework. This article develops a framework that removes the fuzziness surrounding the topic of vision yet at the same time preserves the magic—the spark— that is an essential quality of vision.
Overview
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Integrity signals
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Statistics
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Self-check
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Citations
Cited by
Irving, J., & Berndt, J. (2017) · Administrative Sciences · doi:10.3390/admsci7020010 · Cited by 36
Baldo, M. D. (2013) · European J. of International Management · doi:10.1504/ejim.2013.052835 · Cited by 9
Metadata
- Authors
- Collins, J. C., & Porras, J. I.
- Venue
- California Management Review
- Publisher
- SAGE Publications
- Published
- 1991-10
- Volume
- 34
- Issue
- 1
- Pages
- 30-52
- ISSN
- 0008-1256 (ISSN-L)
- 2162-8564
- OpenAlex
- W2161895622
- Cited by
- 385
- References
- 0
- FWCI
- 10.84
- 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.
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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.
