기업 교육훈련 투자의 경제적 효과

Abstract

In the recent knowledge and information society, knowledge and information are becoming an important factor in creating wealth and value for companies.

In addition, the importance of human resources development is emphasized more than ever because competitiveness of companies is determined by human resources.

Especially, due to the development of information technology, the global management system, and the knowledge-based economy era, the importance of human resources is becoming more important as a key of corporate performance and value creation.

In this environment, because of the expectation that education and training will ultimately contribute to improving corporate performance, many companies recognize education and training investment as a key element of their competitiveness and are investing a lot of money in education and training.

Therefore, it is necessary to analyze the effect of education and training investment on corporate performance.

The purpose of this study is to analyze the effect of investment in education and training on economic performance in Korean companies. In order to achieve this purpose, this study described the background, necessity and purpose of the research in Chapter 1, and presented the scope, composition and method of the research.

In Chapter 2, this study reviewed the main theoretical considerations and previous studies to understand the economic effects of education and training investment through the literature.

In Chapter 3, this study analyzed the current status of corporate education and training investment and the qualitative effects of investment in education and training.

In Chapter 4, this study set up a research model to achieve the final research goal, and analyzed the effect of corporate education and training investment on the economic performance by performing correlation analysis and multiple regression analysis among variables.

In Chapter 5, this study summarized the results of this study and presented theoretical and practical implications and future research topics.

The results of this study are as follows :

Firstly, large companies have invested more in education and training than SMEs, and financial and non-financial services industries have invested more than manufacturing.

Secondly, the qualitative effects of the education and training investment showed the highest improvement in job performing abilities, followed by the improvement in labour morale, labor productivity, corporate image and prevention of turnover.

Thirdly, as a result of correlation analysis between variables, all correlations were less than 0.70, and it was not high. The dependent variable, sales per capita, shows the correlation coefficient of 0.645(p<0.01) with capital intensity per capita, showing a relatively high correlation, and the correlation coefficient of 0.259(p<0.01) with the per capita education and training cost, which shows a low correlation. Therefore, there is a low positive correlation between education investment and economic effect. In other words, investment in education and training has a significant effect on economic performance.

Fourthly, as a result of multiple regression analysis, the multiple regression model shows that the per capita education and training cost has a positive effect on the per capita sales of 95% confidence level. This indicates that causality is also low, as shown by the low correlation between the two variables in the previously analyzed correlations.

Finally, multiple regression analysis of sales per capita by industry shows that per capita capital intensity and per capita education and training costs have a positive effect on the dependent variable, 95% confidence level, in the non-financial service industry. Regardless of the size of the company, only the capital intensity per capita shows a high beta value at 95% confidence level, which is the best explanation for the per capita sales as the dependent variable.

In this study, it is meaningful to quantify the economic effect of corporate education and training investment by analyzing the correlations and causal relationships among the variables, which derive the variables that affect the sales per capita.