• The Research Journal of the Costume Culture
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• v.25 no.3
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• pp.359-374
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• 2017

The objective of this study was to compare business management indicators among textiles and fashion companies. Business management indicators of 356 textiles and fashion companies for the year 2015 were analyzed, using income statements showing their management results. The results were as follows. First, there were statistically significant differences between the operating income ratios of textiles and fashion companies for the term, but there were none when it came to net income ratio. Second, the differences between cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios among textiles and fashion companies were all statistically significant. The cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios were higher for fiber and thread companies, fabric companies, and dyeing and finishing companies than for clothing and fashion accessories companies. Third, there were statistically significant differences between the ratio of salaries and the ratio of advertising expenses among textiles and fashion companies. The salaries ratios and advertising expenses ratios for clothing companies were higher than those of fiber and yarn companies, fabric companies, and dyeing and finishing companies. This study is meaningful as it has identified the business characteristics of textiles and fashion companies using the management indicators of those companies, which have not been sufficiently explored by previous studies. It has also helped to improve understanding of the industrial structure of the upstream and midstream sectors of the textiles and fashion industries.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.38-45
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• 2017

As the competitiveness of SMEs (small and medium enterprises) is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government's support is generally focused on non-financial factors, such as customer satisfaction and analysis of improvement effect. This paper is in regards to the statistical analysis of how much the government's support in the form of providing consulting services contributes to financial outcomes in terms of profitability and growth. ROA (return on asset) and ROS (return on sales), which are investment profitability and sales profitability respectively, are chosen as an indicator of profitability. For analysis of growth, sales revenue and total asset growth are used. The samples are 44 corporations which are supported by government, and 150 corporations which are selected for comparison, with corporate growth support center program by the Ministry of Trade, Industry, and Energy chosen as the consulting model. After gathering the yearly balance sheets and income statements of the samples from CRETOP, Korea Enterprise Data, the analysis is conducted in the way of identifying the statistical significance of financial difference in the same period between corporates taking consulting services and corporates which have not, and the difference of financial outcomes from the corporates taking consulting services before and after consulting services. As a result, in terms of business growth, it is turned out to have positive difference both in growth ratio and profitability compared to the compared corporations at the significant level. Therefore, it is obvious that the consulting program which government provides to SMEs have direct influence practically to the corporates' management performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.171-177
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• 2021

Through the rapid developments in machine learning, there have been diverse utilization approaches not only in industrial fields but also in daily life. Implementations of machine learning on financial data, also have been of interest. Herein, we employ machine learning algorithms to store sales data and present future applications for fintech enterprises. We utilize diverse missing data processing methods to handle missing data and apply gradient boosting machine learning algorithms; XGBoost, LightGBM, CatBoost to predict the future revenue of individual stores. As a result, we found that using median imputation onto missing data with the appliance of the xgboost algorithm has the best accuracy. By employing the proposed method, fintech enterprises and customers can attain benefits. Stores can benefit by receiving financial assistance beforehand from fintech companies, while these corporations can benefit by offering financial support to these stores with low risk.

• Journal of Korean Society for Quality Management
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• v.39 no.1
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• pp.109-119
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• 2011

This study distinguished innovation activities into 3 main things (sustainability management activity, management innovation activity and quality innovation activity). Performance differences among those 3 innovation activities are again distinguished into 4 things (affecting on sales revenue, increasing productivity, improving its corporate image and cost reduction) to demonstrate recognition of performance. We also demonstrated difference of performance between manager and other workers.

• Asian-Australasian Journal of Animal Sciences
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• v.7 no.1
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• pp.31-39
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• 1994

The indonesian government wishes to increase farmers' by encouraging dairy farming. Since 1980, imported dairy cattle have been distributed on credit. Survey data from 1990 were used to study the average milk sales per cow and the economic parameters of dairy production of a sample of farm households on seven milk cooperatives East Java Province, in three agro-ecological areas, oriented to sugar cane, cassava and horticulture, respectively. in general, dairy production proved not to be economically attractive as returns to labour were similar to the rates for agricultural labour. The returns showed marked differences among the three areas studied. They were highest in the horticultural area. Analysis of the dairy units according to size showed a tendency for inputs as well as revenue per cow to decline as herd size increased. It is argued that a further increase in milk production in East Java can be stimulated by raising the farm gate price of milk, or by expanding dairy production into suitable, new areas.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.151-161
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• 2002

This paper presents the business model and system functionalities of a B2B e-marketplace solution that not only can overcome some problems of the public e- marketplace, but also can be applicable to both public and private types of e-marketplaces. This solution is different from the most of the public e-marketplace solutions that their main sources of revenue are transaction commissions or transaction fees through the third-party intermediation. Instead, this solution provides an ASP (Application Service Provider) functionality for direct, dis-intermediated purchasing and sales-related transactions between suppliers and buyers. With this functionality, suppliers and buyers electronically commerce with each other without the disclosure of their transactions as well as transaction commissions.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.287-304
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• 2004

Since there are various types of technologies in the steel manufacturing industry, steel manufacturers need to adopt the most suitable technology Pricing method contingent on the technology type. Steel manufacturing technologies could be categorized as three groups. First, product and process technologies can enhance sales and contribute revenue increase, DCF method could be recommended. Second, maintenance and quality management technologies are mainly embodied in people, human resource profitability method is more suitable. Third, break-through technologies have great uncertainty in terms of commercialization and commercial success, therefore cost saving method is more reasonable. Finally, a sample case is suggested applying above technology pricing model to a steel manufacturer.

• Korean Management Science Review
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• v.21 no.3
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• pp.71-84
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• 2004

CRS, which was initially developed to support airline reservation is now the main part of e-business of airlines, and it decides the degree of prompt and accurate itinerary for travelers due to the remarkable difference in availability inquiry and seats reservation information according to CRS joining level CRS joining level also decides the exactness of reservation, ticketing and traffic data collection and plays the most important role in the exactness of advanced forecast of demand, appropriate seats allocation, and overbooking. Therefore, it provides front end function like seats reservation, schedule display, fare inquiry on-line linked with CRS and back office function like sales result of travel agents, accounting administration. stock administration and customer administration and decides the level of an airline's e-business.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.83-100
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• 2016

In this paper, we present the DEA (Data Envelopment Analysis) application case study to investigate the regionally distinctive telco management characteristics of the Asia-Pacific countries. This study attempts to exploit the implications of DEA for the assessments of core process capabilities of telcos. Accordingly, we extract input variables of CAPEX (capital expenditure), operating expense, marketing expense, and number of employees, each to reflect the competitiveness of the core processes such as fixed asset utilization, operation & sales efficiency, and white collar productivity. In conjunction with the input variables, the output variables are chosen as EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization), ARPU (Average Revenue per User), and number of subscribers. The computational testing results, conducted with total 37 telcos of the 12 Asia-Pacific countries, are analyzed in various ways to understand the distinctive performance characteristics across the region. The managerial implication captured from this study provides useful insight for using DEA as the international telco management purpose.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.61-63
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• 1995

The main factors to bring out the power failure are trouble and operation power failure, the operation power failure of these includes about 85%. So, it is required that the without interruption of service method reduce the operation power failure. If we develop the without interruption of service method, the operation power failure will reduce greatly. It is necessary to develop the without interruption of service method which it solve various trobles (dissatisfacting solution of customer, sales revenue augmentation, and the reduction of the power failure negotiation work). The results of study are drawing up of the specification for temporary transmission methods, it of the working methods for them, and the scrutiny of the technology contents for them.