The past, present, and future of entrepreneurship research: Data analytic trends and training

Michelle A. Dean, Christopher L. Shook, G. Tyge Payne

Research output: Contribution to journalArticle

64 Scopus citations

Abstract

Competent data analysis is essential to entrepreneurship research and to the discipline's progression. A three-study design was used to evaluate quantitative analytic trends and the adequacy of entrepreneurship doctoral training. First, trends were identified by assessing hypothesis-testing techniques in Entrepreneurship Theory and Practice and the Journal of Business Venturing. Second, top entrepreneurship scholars were surveyed regarding the importance of various quantitative analytical techniques to future research and their expectations regarding doctoral training. Third, newly minted entrepreneurship PhDs were queried regarding their perceived competence with these same techniques. These studies provide a past, present, and future perspective on data analysis techniques and competencies in entrepreneurship.

Original languageEnglish
Pages (from-to)601-618
Number of pages18
JournalEntrepreneurship: Theory and Practice
Volume31
Issue number4
DOIs
StatePublished - Jul 2007

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