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The Past, Present, and Future of Entrepreneurship Research: Data Analytic Trends and Training1

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

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.

Suggested Citation

  • Michelle A. Dean & Christopher L. Shook & G. Tyge Payne, 2007. "The Past, Present, and Future of Entrepreneurship Research: Data Analytic Trends and Training1," Entrepreneurship Theory and Practice, , vol. 31(4), pages 601-618, July.
    • Handle: RePEc:sae:entthe:v:31:y:2007:i:4:p:601-618
    DOI: 10.1111/j.1540-6520.2007.00190.x
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    1. Per Davidsson & Johan Wiklund, 2001. "Levels of Analysis in Entrepreneurship Research: Current Research Practice and Suggestions for the Future," Entrepreneurship Theory and Practice, , vol. 25(4), pages 81-100, July.
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    7. Gaylen N. Chandler & Douglas W. Lyon, 2001. "Issues of Research Design and Construct Measurement in Entrepreneurship Research: The past Decade," Entrepreneurship Theory and Practice, , vol. 25(4), pages 101-113, July.
    8. Christopher L. Shook & David J. Ketchen & Cynthia S. Cycyota & Dilene Crockett, 2003. "Data analytic trends and training in strategic management," Strategic Management Journal, Wiley Blackwell, vol. 24(12), pages 1231-1237, December.
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