Entrepreneurship, Growth and Economic Development
Show Less

Entrepreneurship, Growth and Economic Development

Frontiers in European Entrepreneurship Research

Edited by Mário Raposo, David Smallbone, Károly Balaton and Lilla Hortoványi

This timely book presents contemporary research on the key role of entrepreneurship in firm growth and development strategies. The contributors reveal that a high level of entrepreneurial activity contributes to economic growth, innovative activities, competition, job creation and local development.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 11: Toward a Hermeneutical Methodology for Entrepreneurship Research in a Radical Subjectivist Paradigm

Christoph Streb and Vishal Gupta


Christoph Streb and Vishal Gupta INTRODUCTION The field of entrepreneurship is experiencing a critical phase in its development (Chiles et al., 2007; Davidsson et al., 2001; Kuratko and Audretsch, 2009). On the one hand, entrepreneurship scholars report increasing frustration with the field’s state of affairs (Shane and Venkataraman, 2000; Zahra and Dess, 2001). On the other hand, journal editors devote increasing space to publishing entrepreneurship research (Rauch et al., 2009). Recent entrepreneurship research draws a rather fragmented picture of the field (Welter and Lasch, 2008). For example, a central question in entrepreneurship research involves understanding the unfolding of entrepreneurial processes over time (van de Ven and Engleman, 2004). Entrepreneurship scholars seek to understand the emergence of entrepreneurial actors (individuals, organizations, regions and societies) and to explain disequilibrating processes such as opportunity creation and exploitation as well as organizational emergence (Chiles et al., 2008). Understanding the entrepreneurial process is critical to entrepreneurial research. Nevertheless, entrepreneurship researchers have woefully neglected this, and the few who have attempted to study such processes have usually used the wrong methodology: variance methods (Chiles et al., 2009). Variance-based methods (e.g., hierarchical regression analysis, structural equation modelling) embed a small set of well-developed variables in a nomological net and use statistical techniques to test predicted relationships between variables (Chiles, 2003; Gartner et al., 1992). Although these methods have advanced scholarly understanding of entrepreneurship (Gartner and Birley, 2002), they may also lead us down paths that may not help answer the key questions concerning entrepreneurship 262 M2744 -...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.