Metrics for International Business Research

Author(s):  
Randall Morck ◽  
Bernard Yeung

This article focuses on performance measures. It starts with the usual focus on profitability and market value as performance measures, followed by alternative performance measures based on firm productivity, growth and survival. It then discusses issues on survey data, and the problem of ex post reasoning in empirical work. There are several important themes in this discussion. First, it discusses the definitional and variable construction issues. Second, it addresses the analytical contents in these variables as performance measures. Third, it highlights the statistical and empirical difficulties in using these performance measures, especially in an international cross-country context.

Internext ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. 105-127
Author(s):  
Diogenes de Souza Bido ◽  
Antonio Carlos de Oliveira Barroso ◽  
Eric David Cohen

Objectives of the study: to demonstrate the methodological gaps in empirical work that use structural models in the area of International Business, and prescribe complementary methods to mitigate the problem of collinearity Method: a simulation was developed to evidence the effects of collinearity with respect to the importance and significance of predictors, and actions aimed at controlling the undesired effects of collinearity was developed Main results: the proposition of complementary methods that include grouping the latent variables that present multicollinearity into a second-order model, and the use of the technique that shows the relative importance of predictors Theoretical and methodological contributions: the contribution is based on the complementary methods offered for the academic community to conduct empirical research that are laid out by the findings of this research paper Relevance and originality: from the gaps pointed out in the recent scientific production of the field of knowledge of international business, complementary methods are presented to mitigate the problem of collinearity, which may render the results of empirical studies invalid Social contributions and management: among the main managerial and social implications achieved through our findings of, we stimulate the development of robust, relevant and reliable empirical research


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