Opportunity confidence : a cognitive-based perspective
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30-12-2024Publication date
2021Metadata
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Universidad de Chile, Facultad de Economía y Negocios, Escuela de Postgrado
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Opportunity confidence : a cognitive-based perspective
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Abstract
The purpose of this doctoral thesis is to understand the elements that intervene in the
development of Opportunity Beliefs (also known as Opportunity Confidence). In this sense,
the relevance of external circumstances, as stimuli from the environment with the potential to
elicit and/or enable new economic activities (“External Enablers”), and their interaction with
an individual’s characteristics, are addressed as the potential origin of beliefs about business
opportunities. With this aim in mind, a systematic review of available literature is undertaken,
complemented by two empirical studies focused on technology-based Opportunity Beliefs, as
a subset of all the types of opportunities that individuals and organizations may pursue.
The first study comprises a systematic review of the literature on Opportunity
Confidence found in 160 empirical research articles and, focusing on a metaframework
approach, constructs the nomological network that describes what drives an individual to
consider in the context - or in the opportunity - the origin of Opportunity Beliefs. Over and
above this, taking a meta-theoretical approach, Opportunity Confidence literature is
reconsidered from the Construal Level Theory (“CLT”) perspective. These complementary
methods inspired reading on unique research questions, while providing certain theoretical
explanations for unexpected results obtained in previous investigations in the field. The
subsequent empirical studies are grouped under four findings: 1) the preponderance of
technologies as stimuli; 2) lack of research on cognitive orientations; 3) lack of research on
the different characteristics of technologies (e.g., degree of innovation); and 4) unexplored
theories that have addressed human-technological relations (Technological Adoption theory),
and perceptions (CLT).
The second study, based on the cognitive context of the Technology Acceptance Model
(“TAM”), theorizes on a reasoning process where an individual’s cognitive orientation
(Technological Reflectiveness) interacts with characteristics in the stimulus (Usefulness and
Easiness of use of internet technologies), favoring the development of Opportunity Beliefs in
organizational environments. In a sample of 161 interviewees with a technological
background, this research found evidence that Technological Reflections mediate the
relationship between managerial perceptions of these characteristics within internet-based
technologies, and managers' subsequent intentions to accept them as a basis for new business
releases.
The third study, based on psychological distance, derived from the Construal Level
Theory, hypothesizes that most innovative technologies are naturally perceived as more
distant. Based on three experiments applied to a population of 907 respondents of
entrepreneurs and non-entrepreneurs, this study found evidence that the psychological
distance of technologies differentially affects concerns of feasibility and alignment with the
market, contrasting with desirability features that attend the formation of business Opportunity
Beliefs. These results are also evident in prospections about business profits and the
probability of occurrence of such profits. Results also show that the perception of distance
from the technology produces shifts in the beliefs about when, where and for whom, will
technologies favor the creation of new economic activities.
Thus, the findings of this doctoral thesis evidence the relevance of the characteristics
of External Enablers - particularly in technologies - and their interaction with the individual
characteristics in the formation of Opportunity Beliefs (i.e., Opportunity Confidence),
contributing to the seminal discussion in entrepreneurship research about why, when and how
some people and not others identify opportunities (Shane & Venkataraman, 2000).
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Tesis para optar al grado de Doctor en Administración de Negocios
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URI: https://repositorio.uchile.cl/handle/2250/193324
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