• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.147-159
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• 2011

In this paper the demand and supply of labor are forecasted over the next 10 years for customized nurturing human resource focused on Manufacturing Industry in Chung-Nam Province. Despite that the industrial structure is rapidly changing, industrial labors are nurturing on the basis of past industrial structure. This research is conducted for reducing mismatched labors throughout forecasting human resources until 2020. As a practical approach, the BLS Methodology is partially utilized. And the previous researches and official statistics data are reviewed. In conclusion, this study presents that more human resources on Manufacturing Industry than other Industries will be needed in Chung-Nam province. In details, it shows that there will be required more Industrial labors for strategic industries for examples, Audio and Video related industry, and Car related industry which is propelling by overall local government. In additions, policy implications are developed by analyzing current status and forecasting the labor demand and supply in the Chung-Nam Manufacturing sector.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.169-181
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• 2011

The cooperation between universities and IT industry in producing IT manpower of quality is urgently called for to create the effective labor pool of supply and finally balance its supply and demand. Korean Government launched a program where industrial demand-driven curriculums are developed and applied to universities. This paper proposes a design technique of meta-modeling demand-driven curriculums and courses, based on the 3D software space and the software development process. This technique is proven to result in extensibility, flexibility and quality improvement in software design. Therefore, we expect that the proposed technique makes curriculums and courses possible to be continuously improved in many aspects.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.19-23
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• 2017

Energy is a vital resource for the economic growth and the social development for any country. As the industry becomes more sophisticated and the economy more grows, the electricity demand is increasing. So forecasting electricity demand is an important for electricity suppliers. Forecasting electricity demand makes it possible to distribute electricity demand. As the market for Negawatt market began to grow in Korea from 2014, the prediction of electricity consumption demand becomes more important. Moreover, power consumption forecasting provides a way for demand management to be directly or indirectly participated by consumers in the electricity market. We use Genetic Algorithms to predict the energy demand of the fishing industry in Jeju Island by using GDP, per capita gross national income, value add, and domestic electricity consumption from 1999 to 2011. Genetic Algorithm is useful for finding optimal solutions in various fields. In this paper, genetic algorithm finds optimal parameters. The objective is to find the optimal value of the coefficients used to predict the electricity demand and to minimize the error rate between the predicted value and the actual power consumption values.

• Korean Management Science Review
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• v.33 no.3
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• pp.105-117
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• 2016

In this paper, we present empirical testing result to examine the validity of inbound supply and outbound demand risk factors in the sense of early predicting the firm's bankruptcy risk level. The risk factors are drawn from industry uncertainty attributes categorized as uncertainties of input market (inbound supply), and product market (outbound demand). On the basis of input-output table, industry level inbound and outbound sectors are identified to formalize supply chain structures, relevant inbound and outbound uncertainty attributes and corresponding risk factors. Subsequently, publicly available macro-economic indicators are used to appropriately quantify these risk factors. Total 68 industry level bankruptcy risk forecasting results are presented with the average R-square scores of between 53.4% and 37.1% with varying time lag. The findings offers useful insights to incorporate supply chain risk to the body of firm's bankruptcy risk level prediction literature.

• Journal of Environmental Policy
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• v.7 no.1
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• pp.101-118
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• 2008

In this study, we estimate the labor demand function of environmental industry with environmental industry survey of Ministry of Environment. To do this, we apply the panel estimation technique. We follow the widely accepted estimation methods: panel generalized least square, panel generalized least square with heteroskedasticity/auto-correlation, random effect model and random effect model with auto-correlation. On the average, each industry is estimated at the elasticity of sales on labor demand from 0.193 to 0.259. It means that the increase of sales by 214billion won can create around $1,600{\sim}2,300$ jobs, and this is merely a direct effect. So when we consider the whole effect of labor demand increase including indirect derived job creation, the labor demand increase will be higher than this. So it is desirable for the government to support the development of environmental industry for sustainable development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5178-5187
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• 2011

National Competency Standards(NCS) development related researches on the semiconductor industry were carried out partially, but the field training demand survey and analysis using that NCS were not done. The past demand survey for the job skill training had focused on personnel shortage and oversupply so it has the problems called skill mismatch. This study has the purpose to provide an alternative analysis of qualitative evaluation using the relative importance and gap of the job skill elements in the semiconductor industry. As research methods, we carried out related literature and report review, and a job skill demand survey on the semiconductor industry. We analyzed about the industry related jobs and job tasks, the qualitative demand for each job skill elements, and procurement methods for each job skills and manpower. We illustrated some related training courses to find out a relevant way for supplying the training programs.

• Journal of Fashion Business
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• v.18 no.6
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• pp.67-85
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• 2014

This study compares and analyzes the fashion industry of Korea with that of China and Japan, the two countries geographically and culturally adjacent to Korea, by applying the generalized double diamond model to find useful measures to strengthen the global competitiveness of the Korean fashion industry. The fashion industries of Korea, China and Japan were first compared in terms of the four determinants of the double diamond model: thereafter, the double diamond model of Korea, China and Japan were compared. In this, study 31 sub-variables were extracted to measure the eight determinants and secondary data were collected from selected sources between January 2013 and May 2014. The results of comparing the domestic diamond models showed that: China is considerably better than Korea and Japan in terms of demand conditions, firm strategy, organization, and competition conditions while Japan is superior in terms of demand conditions and Korea shows better related and supporting industries conditions. When comparing and analyzing the international diamond models, Japan is superior in terms of factor conditions and China has better demand conditions, while Korea has failed to lead in any of the four determinants. When comparing and analyzing the comprehensive diamond model per country, China show superior demand conditions and firm strategy, organization, and competition conditions, Japan has better factor conditions, and Korea shows superior related and supporting industries conditions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.831-839
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• 2008

The steel industry is becoming more important around the world and the demand of steel is increasing. Korea is the 5th country of steel producing in the world and the attention in the steel industry is growing. The steel industry is one of the key industry in leading the economic growth in Korea. This study attempts to analyze by time-series the economic impacts of the steel industry using an inter-industry analysis Specifically, the study investigates production-inducing effect, value added inducing effect and employ-inducing effect of the steel industry based on demand-driven model and the study deals with supply shortage effect and sectoral price effect of the steel industry by using supply-driven model and Leontief price model.

• The Research Journal of the Costume Culture
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• v.5 no.3
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• pp.36-46
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• 1997

This study concerns the demand for Korean textile products in the USA, Japan, EU from 1997 to 2000. The conclusion from this study is that demand for Korean textile products in the USA, Japan, and the EU will steadily decline through to the year 2000. And with this conclusions, in order to rejuvenate the textile industry, we have to consolidate the system of production and proceed with the rationalization of management departments in the industry and the reduction of costs and develop new products. Also, the global policy strategy of the textile industry should be strongly promoted on order to make the textile industry a strong industry in the 21 century.

• Korean Journal of Organic Agriculture
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• v.31 no.4
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• pp.291-307
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• 2023

Medicinal crops are the most representative input among agricultural products for biomaterials. The actual situation of how medicinal crops are used as inputs in the downstream industry is analyzed, and the input demand function of medicinal crops is quantitatively estimated. The proportions of intermediate demand and final demand in the total production of medicinal crops were 52.1% and 47.9% in 1995, but changed to 74% and 26% in 2019, with the proportion of intermediate demand accounting for approximately increased by 3 times. Estimation results of the demand function for medicinal crops in the medicine industry show, a 1% increase in the production of medicine is found to increase the demand for medicinal crops by 0.3369%. If the production of health functional foods increase by 1%, the demand for medicinal crops is expected to increase by 0.6221%. It is also found that a 1% increase in the amount of cosmetic production would increase in the demand for medicinal crops by 0.3932%. This indicates that market expansion in downstream industries can have a significant impact on agricultural products for biomaterials.