QUANTITATIVE EMPIRICAL ANALYSIS IN STRATEGIC MANAGEMENT

被引:148
作者
Bettis, Richard [1 ]
Gambardella, Alfonso [2 ,3 ]
Helfat, Constance [4 ]
Mitchell, Will [5 ,6 ]
机构
[1] Univ N Carolina, Kenan Flagler Business Sch, Chapel Hill, NC USA
[2] Bocconi Univ, Dept Management & Technol, Milan, Italy
[3] Bocconi Univ, CRIOS, Milan, Italy
[4] Dartmouth Coll, Tuck Sch Business, Hanover, NH 03755 USA
[5] Duke Univ, Fuqua Sch Business, Durham, NC 27706 USA
[6] Univ Toronto, Rotman Sch Management, Toronto, ON, Canada
关键词
PANEL DATA; MODELS; TESTS;
D O I
10.1002/smj.2278
中图分类号
F [经济];
学科分类号
02 ;
摘要
Strategic Management Journal 2014 discusses quantitative empirical analysis in strategic management. One of the trademark of strategic management research is the use of unique data; attention paid during data collection to potential pitfalls in empirical estimation can pay off later by enabling simpler or more robust analyses. Decisions regarding which archival and survey data to collect or obtain access to can benefit from an understanding of subsequent empirical issues that such data may present. Beyond the presentation of facts, good data enable the use of simpler statistical approaches, such as comparisons of means and medians and other relatively simple parametric and non-parametric statistics. Regression analysis is required in order to assess the role of specific variables while holding other variables constant. Sample selection correction can help to control for bias due to a nonrandom sample, generally using two-stage estimation.
引用
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页码:949 / 953
页数:5
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