Handbook of Qualitative Research Techniques and Analysis in Entrepreneurship
Show Less

Handbook of Qualitative Research Techniques and Analysis in Entrepreneurship

Edited by Helle Neergaard and Claire Leitch

This insightful Handbook introduces a variety of qualitative data collection methods and analysis techniques pertinent in exploring the complex phenomenon of entrepreneurship. Detailed and practical accounts of how to conduct research employing verbal protocol analysis, critical incident technique, repertory grids, metaphors, and the constant comparative method are provided. Scholars new to the area, doctoral students, as well as established academics keen to extend their research scope, will find this book an invaluable and timely resource.
Buy Book in Print
Show Summary Details
You do not have access to this content

Metaphor methodologies in entrepreneurship research

Sarah Drakopoulou Dodd and Alice de Koning


In spite of their difference in approach, a number of common themes run through these three chapters, which, taken together, highlight the potential, the challenges, the limitations and quality assessment demands of metaphor methodologies for entrepreneurship research. In this short concluding section, we argue that metaphors act as a reminder of the necessity for scholarly self-reflection, as well as a means for carrying this out. We note that although coding schemes are presented throughout the section’s chapters, there is no real substitute for engaging with one’s own data directly. We argue that, complex and ambiguous though metaphors may be, their very versatility makes them uniquely ubiquitous, able to reach places other methods may not address. First, the value of metaphors in facilitating self-reflection is evident. Indeed, these chapters have illustrated that it is imperative for we entrepreneurship scholars to engage in such self-reflection. Which images and social constructions of the entrepreneur do we ourselves enact, embrace, develop and share? Such self-reflection is imperative when doing analysis and coding, since it is all too easy to fall prey to your own personal cognitive schemata, biases and learnt tendencies. Because metaphors are such slippery, ambiguous and complex tropes, constant auto-interrogation is demanded of the scholar in an attempt to avoid ‘reading into’ the data being explored.

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.