d.performance {cna} | R Documentation

## Data on combinations of industry, corporate, and business-unit effects

### Description

This dataset is from Greckhammer et al. (2008), who analyze the causal conditions for superior (above average) business-unit performance of corporations in the manufacturing sector during the years 1995 to 1998.

### Usage

    d.performance

### Format

The data frame contains 214 rows featuring configurations, one column reporting the frequencies of each configuration, and 8 columns listing the following Boolean factors:

[ , 1] | MU | above average industry munificence
[ , 2] | DY | high industry dynamism
[ , 3] | CO | high industry competitiveness
[ , 4] | DIV | high corporate diversification
[ , 5] | CRA | above median corporate resource availability
[ , 6] | CI | above median corporate capital intensity
[ , 7] | BUS | large business-unit size
[ , 8] | SP | above average business-unit performance (in the manufacturing sector)

### Source

Greckhamer, Thomas, Vilmos F. Misangyi, Heather Elms, and Rodney Lacey. 2008. “Using Qualitative Comparative Analysis in Strategic Management Research: An Examination of Combinations of Industry, Corporate, and Business-Unit Effects.” Organizational Research Methods 11 (4):695-726.

[Package cna version 2.2.0 Index]