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Research on relationships between potential of marketing staff and their job performance

机译：营销人员潜力与工作表现的关系研究

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This paper explores the associations between personality traits and performance indicators. CCA (Canonical Correlation Analysis) is applied to analyze and optimize the correlations between the two groups of original data, find out the maximum canonical correlation coefficient, convert raw variables into canonical variables. Using sample data, the authors make a detailed explanation for modeling process, showing the dimension reduction effects. The comprehensive potential index of potential data and comprehensive performance evaluation index of performance data are developed, significant linear correlation between them is found, and then the regression equations are established with the two groups of raw data. By vertical and horizontal analysis of the predictive model, we get some important statistics correlations between personal factors and performance indicators. The results indicate that the method in this paper can utilize the advantages of CCA on dimension reduction and optimization for high dimension random vectors, decrease the complexity of the algorithm.
机译：本文探讨了个性特征与绩效指标之间的关联。 CCA（规范相关性分析）应用于分析和优化两组原始数据之间的相关性，从而了解了最大的规范相关系数，将原始变量转换为规范变量。使用示例数据，作者对建模过程进行了详细说明，显示了尺寸减少效果。开发了潜在数据的综合潜在指标和综合性能评估指标，发现它们之间的显着线性相关性，然后使用两组原始数据建立回归方程。通过预测模型的垂直和水平分析，我们在个人因素和绩效指标之间获得了一些重要的统计学相关性。结果表明，本文中的方法可以利用CCA对高尺寸随机载体的尺寸减小和优化的优点，降低了算法的复杂性。

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