The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Uncertainty Types and Transitions in the Entrepreneurial Process
Open accessAbstract
While judgment has hitherto typically been viewed as a discrete decision process, we propose that it be conceptualized instead as a continuous and dynamic process of reassessment and revision. Adopting this approach, we revisit the nature of entrepreneurial decision making under uncertainty. We begin with a novel typology of uncertainty that defines and delineates different types of uncertain contexts. We then examine the nature of decision making within these distinct contexts, highlighting differences in how entrepreneurs make decisions within different types of uncertainty. We build these insights into a theory of the entrepreneurial process that highlights the transitory nature of uncertainty as entrepreneurs make certain judgments and revise those judgments over time. We discuss how uncertainty transitions throughout the judgment process, how the judgment process continues dynamically even after a judgment is made, and how the nature of uncertainty shifts over time due to endogenous and exogenous change.
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Cites
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Cited by
Brown, R., & Rocha, A. (2020) · Journal of Business Venturing Insights · doi:10.1016/j.jbvi.2020.e00174 · Cited by 325
When Is More Uncertainty Better? A Model of Uncertainty Regulation and Effectiveness
Griffin, M. A., & Grote, G. (2020) · Academy of Management Review · doi:10.5465/amr.2018.0271 · Cited by 223
Ramoglou, S. (2021) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2020.106090 · Cited by 106
Metadata
- Authors
- Packard, M. D., Clark, B. B., & Klein, P. G.
- Venue
- Organization Science
- Published
- 2017-10
- Volume
- 28
- Issue
- 5
- Pages
- 840-856
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2610173154
- Cited by
- 396
- References
- 110
- FWCI
- 30.81
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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