Editorial: Enhancing quantitative theory-testing entrepreneurship research

被引:94
|
作者
Anderson, Brian S. [1 ,2 ]
Wennberg, Karl [3 ]
McMullen, Jeffery S. [4 ]
机构
[1] Univ Missouri, Bloch Sch Management, Kansas City, MO 64110 USA
[2] Univ Ghent, Fac Econ & Business Adm, Ghent, Belgium
[3] Linkoping Univ, IAS, Norrkoping, Sweden
[4] Indiana Univ, Kelley Sch Business, Bloomington, IN 47405 USA
关键词
Research design; Publishing in JBV; Theory-testing research; Causal inference; Researcher degrees of freedom; STRATEGIC MANAGEMENT RESEARCH; STATISTICAL TESTS; CAUSAL INFERENCE; SAMPLE-SIZE; PERFORMANCE; BIAS; REGRESSION; MODELS; CRISIS; FIELD;
D O I
10.1016/j.jbusvent.2019.02.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
The purpose of this editorial is to discuss methodological advancements to enhance quantitative theory-testing entrepreneurship research. As the impact of entrepreneurship scholarship accelerates and deepens, our methods must keep pace to continue shaping theory, policy, and practice. Like our sister fields in business, entrepreneurship is coming to terms with the replication and credibility crisis in the social sciences, forcing the field to revisit commonly-held assumptions that limit the promise and prospect of our scholarship. Thus, we provide suggestions for reviewers and editors to identify concerns in empirical work, and to guide authors in improving their analyses and research designs. We hope that our editorial provides useful and actionable guidance for entrepreneurship researchers submitting theory-testing papers to Journal of Business Venturing.
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页数:11
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