Domain Learning and Opportunity Development in a High-Tech Context
Wednesday, September 11, 2013 – ( 1:00 pm to 2:00 pm )
Location: BC 430
Matthew R. Marvel, Associate Professor, Department of Management, College of Business and Economics, West Virginia University
This study draws from learning and opportunity development theories to develop and test a conceptual model of the opportunity development process. Using a sample of technology entrepreneurs in university incubators we explore the unique and joint effects of prior knowledge and learning on sales expectations and product innovativeness. Results suggest that domain knowledge of technology and demand are of unequal value to the opportunity development process. Domains of prior knowledge relate differently to outcomes but demand learning relates to sales expectations and product innovativeness. Findings suggest the types and sequence of knowledge are important to understanding the opportunity development process.
Matt is an Associate Professor and Coffman Chair of Entrepreneurial Studies at the College of Business and Economics at West Virginia University. He earned his PhD at the University of Illinois Urbana-Champaign and received a Kauffman Dissertation Fellowship.
Matt’s research focuses on how individual knowledge and learning promote entrepreneurial outcomes like opportunity identification, product innovation, and job creation. Most of his research uses the high-tech context to examine how individuals leverage varying domains of knowledge in early stage venture development. Matt’s research has been published in Entrepreneurship Theory and Practice, Journal of Management Studies, Journal of Small Business Management, and Small Business Economics.
Matt earned his Bachelor of Science in Marketing from Southern Illinois University and went on to complete an MBA at Eastern Illinois University. He has worked in a variety of consulting and sales roles focused on technical training and software development.