Merging neuroscience technologies in entrepreneurship research
Thesis event information
Date and time of the thesis defence
Place of the thesis defence
Campus Linnanmaan, IT 115
Topic of the dissertation
Merging neuroscience technologies in entrepreneurship research
Doctoral candidate
Doctor Victor Perez
Faculty and unit
University of Oulu Graduate School, Faculty of Technology, Industrial Engineering and Management
Subject of study
Entrepreneurship
Opponent
Professor Risto Rajala, Aalto University
Custos
Professor Harri Haapasalo, Industrial Engineering and Management
Neuro-technologies will reshape the way Entrepreneurship is researched, taught, and practiced
Since its inception, the field of entrepreneurship has faced a once-in-a-lifetime opportunity. Traditionally, the research on entrepreneurship has been based on exploring the past of entrepreneurial practice. However, due to the rapid advancement of neuro-technologies, it is now possible to assess the entrepreneurial brain in real time.
This dissertation contends that the incorporation of appropriate and non-invasive neurotechnologies is highly required because they are the only ones capable of collecting and analysing data directly from the entrepreneurs' brains. Using a multidisciplinary approach, the dissertation reveals a comprehensive methodological framework that allows for the neuroscientific evaluation of a suitable research topic, identifies a set of neuroscience-based technologies suitable for entrepreneurship research, and elucidates the experimental principles to be considered.
Furthermore, the dissertation illustrates how two powerful techniques, electro-encephalography and event-related potential, can be used to better understand the relationship between emotions and decision-making. It is anticipated that the incorporation of neuroscience technologies into entrepreneurship will help alleviate the current methodological limitations that have impeded the field's progress.
The study's theoretical and practical implications will help people who study and teach about entrepreneurship, as well as entrepreneurs, teachers, students, and policymakers.
This dissertation contends that the incorporation of appropriate and non-invasive neurotechnologies is highly required because they are the only ones capable of collecting and analysing data directly from the entrepreneurs' brains. Using a multidisciplinary approach, the dissertation reveals a comprehensive methodological framework that allows for the neuroscientific evaluation of a suitable research topic, identifies a set of neuroscience-based technologies suitable for entrepreneurship research, and elucidates the experimental principles to be considered.
Furthermore, the dissertation illustrates how two powerful techniques, electro-encephalography and event-related potential, can be used to better understand the relationship between emotions and decision-making. It is anticipated that the incorporation of neuroscience technologies into entrepreneurship will help alleviate the current methodological limitations that have impeded the field's progress.
The study's theoretical and practical implications will help people who study and teach about entrepreneurship, as well as entrepreneurs, teachers, students, and policymakers.
Last updated: 23.1.2024