How Much Do Industry, Corporation, and Business Matter, Really? A Meta-Analysis

Bart S. Vanneste ()
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Bart S. Vanneste: UCL School of Management, University College London, London E14 5AA, United Kingdom

Strategy Science, 2017, vol. 2, issue 2, 121-139

Abstract: The academic field of strategy seeks to explain differences in firm performance. A consensus exists that industry, corporate, and business effects together account for most performance differences, but there is debate over how much each factor explains. Previous studies have used three different effect size measures: sum of squares, variance, or standard deviation. These measures yield different results for a given sample, which precludes direct comparison. Using simulation analysis, I show that the sum-of-squares measure is sensitive to sample dimensions (e.g., the number of industries, the number of businesses per industry). Using 25 samples from nine studies ( N = 212,112), I find that this sensitivity is strong in practice: knowing only the dimensions of a sample is sufficient to predict well the sum-of-squares measure. A meta-analysis is conducted using the variance and standard deviation measures instead (18 samples from 16 studies, N = 225,183). With the variance measure, the effect sizes are 0.08 for industry, 0.14 for corporate, and 0.36 for business; effect sizes with the standard deviation measure are 0.28 for industry, 0.36 for corporate, and 0.59 for business. Thus business effects have about twice the explanatory power of corporate effects, and corporate effects explain somewhat more than do industry effects.

Keywords: industry effect; corporate effect; business effect; variance decomposition; meta-analysis (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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