Management students’ entrepreneurial mindset : What kind of factors affect their opportunity recognition capabilities?
Professor Advisor
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Laulié Cerda, Lyonel Sebastián
Author
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Cárdenas Figueroa, Arturo
Associate professor
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Torres Cepeda, Juan Pablo
Admission date
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2024-09-14T14:15:44Z
Available date
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2024-09-14T14:15:44Z
Publication date
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2023
Identifier
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10.58011/dn8h-sz27
Identifier
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https://repositorio.uchile.cl/handle/2250/201055
Abstract
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The current complex and dynamic markets need business professionals with an
entrepreneurial mindset to recognize opportunities. I decided to explore the cognitive
factors associated with the management students’ opportunity recognition capability. First, I
use the managerial cognition capabilities, pattern recognition, structural alignment, and
mental model theories, to make a non-linear model of the opportunity recognition process.
Second, I sampled professionals and technicians who are currently studying engineering as
a second profession and engineering post-degree students. Through a self-applied survey, I
measured the level of the relationship between self-reported alertness activities (AL) and
self-perception of opportunities capabilities (OR). Also, I measured other variables such as
age, work experiences, tenure, educational levels, and functional specialization. Third, I
used mental model proxies such as entrepreneurial knowledge (EK), entrepreneurial
education (EE), and entrepreneurship experience to measure their effect on OR. In general
work conclusion, time may be enough to build mental models with a positive effect on
individuals' alertness and entrepreneurial knowledge, but opportunity recognition entails
that the content of management students’ mental models should be specific prototypes or
exemplars to match with market failures that they can exploit. So, Higher Education
Institutions must innovate because the traditional curriculum does not expose management
students to entrepreneurial education.
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Lenguage
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en
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Publisher
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Universidad de Chile
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Type of license
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Attribution-NonCommercial-NoDerivs 3.0 United States