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Cited by 588

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Marketing under Uncertainty: The Logic of an Effectual Approach

Read, Stuart, Dew, Nicholas, Sarasvathy, Saras D., Song, Michael, Wiltbank, Robert·2009·Journal of Marketing

Abstract

How do people approach marketing in the face of uncertainty, when the product, the market, and the traditional details involved in market research are unknowable ex ante? The authors use protocol analysis to evaluate how 27 expert entrepreneurs approach such a problem compared with 37 managers with little entrepreneurial expertise (all 64 participants are asked to think aloud as they make marketing decisions in exactly the same unpredictable situation). The hypotheses are drawn from literature in cognitive science on (1) expertise in general and (2) entrepreneurial expertise in particular. The results show significant differences in heuristics used by the two groups. While those without entrepreneurial expertise rely primarily on predictive techniques, expert entrepreneurs tend to invert these. In particular, they use an effectual or nonpredictive logic to tackle uncertain market elements and to coconstruct novel markets with committed stakeholders.

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Metadata

Authors
Read, S., Dew, N., Sarasvathy, S. D., Song, M., & Wiltbank, R.
Venue
Journal of Marketing
Published
2009-05
Volume
73
Issue
3
Pages
1-18
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W2015662544
Cited by
588
References
15
FWCI
44.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Marketing under Uncertainty: The Logic of an Effectual Approach. https://app.cochat.ai/papers/10.1509/jmkg.73.3.001
The paper
Read, S., Dew, N., Sarasvathy, S. D., Song, M., & Wiltbank, R. (2009). Marketing under Uncertainty: The Logic of an Effectual Approach. Journal of Marketing. https://doi.org/10.1509/jmkg.73.3.001

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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.