A New Methodological Frontier in Entrepreneurship Research: Big Data Studies

被引：44
|
作者：
Schwab, Andreas [1 ]
Zhang, Zhu [2 ]
机构：
[1] Iowa State Univ, Ivy Coll Business, Dept Management, Ames, IA 50011 USA
[2] Iowa State Univ, Ivy Coll Business, Dept Supply Chain & Informat Syst, Ames, IA USA
来源：
ENTREPRENEURSHIP THEORY AND PRACTICE | 2019年 / 43卷 / 05期
关键词：
research methods; quantitative methodologies; big data; CHALLENGES; INFERENCE; SCIENCE;
D O I：
10.1177/1042258718760841
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The emergence of "big data" and related analytic techniques are creating opportunities to advance empirical entrepreneurship theory and practice. This editorial focuses on the implications for the design and execution of empirical studies. It offers guidance on how to navigate related methodological challenges and outlines what editors, professional associations, research-method teachers, and administrators can do to enable high-quality big data research.
引用
收藏
页码：843 / 854
页数：12
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