Complementary Methods to Mitigate the Misinterpretation of Results Due to Collinearity in International Business Research
DOI:
https://doi.org/10.18568/internext.v17i1.681Keywords:
Structural equation modeling, Multicollinearity, International BusinessAbstract
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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