Structural Equation Model of Causal Factors Influencing the Success of Cross-Cultural Communication
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Abstract
Various communication and interactivity in everyday situations for the airline personnel challenged effective interactions with groups of different cultures; it thus demanded to examine the consistency of the causal factor, path analysis, direct indirect and overall effects influencing the success of intercultural communication. 400 airline employees were samples through using online questionnaire for data acquisition. Statistical applications were the Confirmative Element Analyses, the Chi-square (c2), RMSEA (Root Mean Square Error of Approximation), Goodness of Fit (GFI) and Adjusted Goodness of Fit (AGFI) to test the model models, structural equations and causal factors. The results showed that the value passed the specified criteria witnessed with RMSEA value was less than 0.05, its consistency level index (GFI/Goodness of Fit) value and its AGFI (Adjusted Goodness of Fit) value were greater than 0.90. In path analysis of the direct, indirect and collective influence variable revealed that the acculturation and cultural intelligence had a statistically significant positive direct influence at the 0.01 level, respectively. Barriers to intercultural communication had statistically significant negative direct influence at 0.05 levels. The cultural intelligence had also critically indirect influencing variable by statistical significance at the 0.01 level.
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