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This study analysed the recent status of industrial training in the korean small-medium manufacturing firm.My study showed that the firm has invested 0.11% of annual sales for industrial training during the period between 2002 and 2003. According to the recent survey of industrial training, the fields to put the great emphasis on the industrial training inside the firm are production management field(31.1%), a special subject of technology(25.5%), moral education(18.6%), IT application education(11.4%), marketing field(9.8%), financial management(6.9%), personnel management(4.6%).According to the analysis of industrial training`s expenditures, the firm invested 11 million won amount per firm and 173,200 won amount per person.The purpose of this study is find out the problems and the better solution of industrial training. I suggested the practical curriculum programming model and training method for developing the job competency of employees and thus improving productivity.

Revolutionary development of IT (Information Technology) and digitalization has brought rapid evolution of e-culture in business community as well as individuals daily lives. Therefore, the corporate should respond to industry paradigm shift and e-culture to survive.This study is to provide information material on various aspects of e-culture shock to business community and let them gain better understanding on the nature of current environmental change and corporate response patterns. The research objective will be pursued through literature review and empirical analysis. The case study approach and survey method are adopted for empirical study.The research output will contribute to theory development and management practice. The result will help managers how to minimize e-culture shock to achieve the maximum level of operational productivity. And also our study will address the direction of future industrial policy by the government.

This paper considers a six sigma project for increasing the productivity of the resistance standardization of winding process in manufacturing firms. The project follows a disciplined process of five macro phases : define, measure, analyze, improve and control(DMAIC). The need of customers is used to identify the critical to quality(CTQ) of project. And a process map is used to identify process input factors of CTQ. Two key process input factors are selected by using an input factor evaluation of teams; a tension and a revolution per minute(RPM). DOE is utilized for finding the optimal process conditions of the two key process input factors. The six sigma level of defects rate becomes a 5.80 from a 3.98 at the beginning of the project.

Previous studies on the performance evaluation of incubators have been based on more subjective oriented evaluation methodologies. This study utilized DEA(Data Envelope Analysis) methodology to evaluate 21 universitiesBIs in Seoul, Korea. As input factors, total operating expense, number of management manpower, total number of offices for incubation were selected. The number of graduating companies, the number of incumbents, and total amount of sales including exports were output variables for the proposed DEA model. Based on DEA model and analysis, comparative efficiency ratio and major inefficiency factors of each software incubator center were pinpointed. Possible ways to improve the efficiency of each incubator were suggested. This study contributes to the methodological ways of evaluating incubator management theoretically. Practically, DEA method will help incubator managers and government officials evaluate the efficiency of their management practices cooperatively.

Korean government has promoted the e-trade based on the Electronic Commerce Law since 2000. However, the policies has been changed from the provision of IT infra and homepage portalization toward the direct and indirect export participation. The e-trade platform could represent one of this kind of policies. Through KTNET, government developed and distributed the XENI Trade Partner Lite & Plus for the effective participation of small and medium sized companies into e-trade. However, the psychic and economic barriers of the solution could keep the companies from participating the e-trade practices. The study aimed to analyze the background of these bottlenecks of the promotion policies on the e-trade platform and to increase the productivity of the policies. The study suggests that the market-oriented universities could be the effective participants for development and utilization of the e-trade platform as the collaborator, integrator and web-service provider. It is very crucial for the policies should be based on behalf of the companies as users, not of the government itself or intermediaries such as Korea Trade Association or solution developer.

Most of the demand forecasts which have been studied are based on the long-term time series over 15 years. In this paper, we set up the optimal ARIMA model for the short-term time series demand forecasting and suggest appraising suitability and forecasting on the model. We are going to use the univariate ARIMA model in parallel with the Bivariate Transfer Function Model to improve accuracy of forecasting. Also we analyse advertisement cost, scale of branch store, number of clerk, etc. to search effect of sales policy on productivity. After then, we are going to show customer's needs on the future. We have applied this method for the annual sales of refrigerator in four branch store cases.

Recently, many executives and managers pay a great deal attention to the importance of intellectual capital because it is expected to provide decision-makers with the sources for competitive advantage. The purpose of this study is to establish the framework for the management of intellectual capital and then to test relationships among intellectual capitals, firm market values and financial productivity. The empirical results are as follows. First, the regression model by intellectual capital factors represents statistical significance between market value and intellectual capital. Second, the positive relationship between the intellectual capital and market value shows a statistically significant result. Third, intellectual capital and financial productivity are positively related and statistically significant. The results also show that there is a positive and statistically significant relationship between financial productivity and market value.