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Opportunity Recognition as Pattern Recognition: How Entrepreneurs “Connect the Dots” to Identify New Business Opportunities

Baron, Robert A.·2006·Academy of Management Perspectives

Abstract

Executive Overview How do entrepreneurs identify opportunities for new business ventures? One possibility, suggested by research on human cognition, is that they do so by using cognitive frameworks they have acquired through experience to perceive connections between seemingly unrelated events or trends in the external world. In other words, they use cognitive frameworks they possess to “connect the dots” between changes in technology, demographics, markets, government policies, and other factors. The patterns they then perceive in these events or trends suggest ideas for new products or services—ideas that can potentially serve as the basis for new ventures. This pattern recognition perspective on opportunity identification is useful in several respects. First, it helps integrate into one basic framework three factors that have been found to play an important role in opportunity recognition: engaging in an active search for opportunities; alertness to them; and prior knowledge of an industry or market. In addition, it also helps explain interrelations between these factors (e.g., the fact that active search may not be required when alertness is very high). Second, a pattern recognition perspective helps explain why some persons, but not others, identify specific opportunities. Third, a pattern recognition framework suggests specific ways in which current or would-be entrepreneurs can be trained to be better at recognizing opportunities. Future directions for research on a pattern recognition perspective are described, and its practical implications for entrepreneurship education are examined.

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Authors
Baron, R. A.
Venue
Academy of Management Perspectives
Published
2006-02
Volume
20
Issue
1
Pages
104-119
ISSN
  • 1558-9080 (ISSN-L)
  • 1943-4529
OpenAlex
W2172270370
Cited by
1,378
References
0
FWCI
56.15
Type
journal article
Language
en
Open access
closed

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