Lessons from the neural foundation of entrepreneurial cognition: The case of emotion and motivation

David A. Baucus, Melissa S. Baucus, Ronald K. Mitchell

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations

Abstract

Our objective in this chapter is to illustrate how entrepreneurs’ brains are physiologically the same as any other person’s brain, but in terms of experiences and knowledge they are different. Using neurophysiology and relevant concepts from neuroscience, we map the physiological processes involved in transmitting visual data from the periphery (environment) to conscious thought and behavior, with affective processes (emotion and motivation) modulating data flows along the way. We explain how cortical fields and subcortical nuclei (key parts of the brain) process and code neural representations, first as simple data points, but then as behaviorally relevant ‘percepts’ (perceptions) and ‘concepts’ (conceptualizations) that carry ‘affective value’ acquired through structures specialized for emotion and motivation. We also explain how these abstract building blocks of thought - percepts, concepts and affective valuations - decouple from external stimuli owing to repeated activation (experience) and come together with real-time data in the default mode network, with emotion and/or motivation enabling the entrepreneur to adapt behavior to a given context. Understanding this ‘standard complement’ of physiological processes may allow researchers to explain similarities and differences among entrepreneurs and the opportunities they conceive. We offer 15 researchable premises that can be examined with current social-science methodologies and illustrate the implications of our approach (i.e., detailing how the brain generates behavior) for entrepreneurial cognition theory and research.

Original languageEnglish
Title of host publicationHandbook of Entrepreneurial Cognition
PublisherEdward Elgar Publishing Ltd.
Pages254-315
Number of pages62
ISBN (Electronic)9781781006597
ISBN (Print)9781781006580
DOIs
StatePublished - Jan 1 2014

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