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

被引：65

作者：

Dean, Michelle A. ^{[1
]}

Shook, Christopher L.

Payne, G. Tyge

机构：

[1] San Diego State Univ, Coll Business Adm, Dept Management, San Diego, CA 92182 USA

[2] Auburn Univ, Dept Management, Auburn, AL 36849 USA

[3] Texas Tech Univ, Rawls Coll Business, Area Management, Lubbock, TX 79409 USA

来源：

ENTREPRENEURSHIP THEORY AND PRACTICE | 2007年 / 31卷 / 04期

关键词：

D O I：

10.1111/j.1540-6520.2007.00190.x

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：601 / 618

页数：18

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