EconPapers    
Economics at your fingertips  
 

The Successful Intelligence of High-Growth Entrepreneurs: Links to New Venture Growth

J. Robert Baum () and Barbara J. Bird ()
Additional contact information
J. Robert Baum: Department of Management and Organization, Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742
Barbara J. Bird: Department of Management, Kogod School of Business, American University, Washington, DC 20016

Organization Science, 2010, vol. 21, issue 2, 397-412

Abstract: We develop a model of successful intelligence in entrepreneurship. The model was tested through interviews with 22 printing industry CEOs and responses from 143 founders of early-stage, high-growth printing and graphics businesses. Successful intelligence combined with entrepreneurial self-efficacy to predict swift action and multiple improvement actions (repeated goal-driven changes). Swift action and multiple improvement actions predicted higher subsequent venture growth across four years. This field study confirmed that successful intelligence consists of practical, analytical, and creative intelligence and that, together with entrepreneurial self-efficacy, it enables and motivates successful entrepreneurial behavior. Intelligence has received little entrepreneurship research attention; however, this empirical study suggests that specific intelligences should be included as predictors in studies of venture outcomes. The two entrepreneurial behaviors developed here are useful concepts beyond the entrepreneurship domain.

Keywords: entrepreneurship; successful intelligence; venture growth; cognition; entrepreneurial behavior (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

Downloads: (external link)
http://dx.doi.org/10.1287/orsc.1090.0445 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ororsc:v:21:y:2010:i:2:p:397-412

Access Statistics for this article

More articles in Organization Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ororsc:v:21:y:2010:i:2:p:397-412