Culture and a cascading model of emotional intelligence: An exploratory analysis

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Purpose - The study addresses the mechanism of how cultural dimensions influence the different dimensions of emotional intelligence. Building on the cascading model described by Joseph and Newman (2010), we extend our previous findings (Gunkel, Schlaegel, & Engle, 2014) by exploring the influence of cultural dimensions on a cascading model of emotional intelligence.

Methodology - We use survey data from 2,067 business students in nine countries (China, Colombia, Germany, India, Italy, Russia, Spain, Turkey, and the United States), representing 8 of the 11 cultural clusters identified by Ronen and Shenkar (2013).

Findings - We find that uncertainty avoidance and long-term orientation have a positive influence on self-emotional appraisal, which in turn influence regulation of emotion, which then has a positive influence on the use of emotion. At the same time, others' emotional appraisal mediates the relationship between all cultural dimensions except power distance and use of emotion. We also find that uncertainty avoidance, masculinity, and long-term orientation directly influence the use of emotion, suggesting a partial mediation effect.

Research limitations - Our findings have to be interpreted in the light of the limitations of our approach owing to the cross-sectional study design and the limited generalizability of the sample.

Originality - We contribute to the existing literature by examining the mechanism through which culture influences the different facets of emotional intelligence and whether and how the different facets affect each other. The proposed influence of culture on a cascading model of emotional intelligence provides a more detailed and nuanced understanding of the mechanism and the pathways in which culture affects emotional intelligence.

Original languageEnglish
JournalProgress in International Business Research
Volume9
Pages (from-to)229-257
Number of pages29
ISSN1745-8862
DOIs
Publication statusPublished - 2014

    Research areas

  • Cultural studies - Cascading model, Cultural dimensions, Emotional intelligence, Structural equation modeling

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