• Current Industrial and Technological Trends in Aerospace
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• v.6 no.1
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• pp.14-24
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• 2008

After 2001, the world aircraft industry grows consistently with world's economic recovery. The environmental changes after 9.11, including the market decent and revival, rise in oil price, and the environmental problems, make the aircraft industry change gradually. The increasing demand of point-to-point flight needs over 200 seat class large jets and changes the main model of regional jet over 100 seat class. And the needs of various flight schedule raises the demand of business jet and VLJ. The competition between airliners including the main streams, the regionals and the low prices goes harder and it needs more efficient airplanes which reduce the cost. In the military side, still the development of 5th generation fighter is proceeding and it diffuses to the more countries. Before its popularization, the 4th generation fighter is chosen for good alternatives of it. And there are some changes in the military demand after the war against terrorism. The army needs more unmanned reconnaissance and they want new aircraft which gives more accessibility.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1-1
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• 2009

Recently, the FPD industry has faced the limit in market growth due to lack of new growth engine as a replacement of television. With sluggish market demand deepened by global economic crisis and persistent concern over panel oversupply, growth of the panel market has sharply slowed down, and profitability has been eroded. This also has tremendous effect on related industries including component, material and machine industries, spreading a sense of crisis across the whole FPD industry. Under this circumstance, for the FPD industry to take off once again, all involved in the FPD industry must cooperate and come up with innovative ideas, and identify the driving force to realize turbo-charged growth.

• Korea Real Estate Review
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• v.27 no.4
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• pp.51-61
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• 2017

The purpose of this study is to find out the implications for the activation of the real estate industry by comparing the structure of production and distribution, as well as the industrial linkage, of Korean real estate industry with that of the US through an input-output analysis. This study employed the World Input-Output Database (WIOD) provided by the EU in 2016. The results are as follows. First, while the share of the Korean real estate industry in the national economy has been steadily decreasing since the year 2000, the real estate industry of the United States is increasing. Second, both Korean and US real estate businesses have higher value added rates than the industry average, but the intermediate demand rate is lower than the industry average. Furthermore, the intermediate input rate and intermediate demand rate of the Korean real estate industry were lower than that of the US. Third, the change in the final demand for the Korean real estate industry has a lower production and value added effect on the national economy than that of the United States. Fourth, the industrial linkage of the US real estate industry is larger and broader than that of Korea. Finally, it is suggested that a policy to increase the industrial linkage of real estate industry with high value-added industries is needed in order to revitalize Korea's real estate industry.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.77-80
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• 2015

Vocational training efficiency and participation was intended to try to find a reliable demand survey methods to find ways that can be maximized. The exact demand investigation may be the most important factor that can improve the quality of training. Furthermore, the training is due to inaccurate demand as research shows the result of ineffective training because of low participation. Four methods of demand survey are used in the form of large mail, telephone, electronic and face-to-face. This paper describes the demand survey that has been carried out through the training of human resources in the training business that suits description local industry human resource development (HRD) consortium of Mokpo University country, proposed a method of effective demand survey.

• Korean Journal of Organic Agriculture
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• v.31 no.4
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• pp.343-355
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• 2023

Dairy processing experience tourism, that combines production, processing, and services, can be a good alternative to increase added value in Mongolian livestock industry. In addition, in order to successfully pursue this, it is necessary to first identify consumers' potential demand for the experience tourism and the factors affecting demand. Accordingly, this study estimated consumers' potential demand for dairy processing experience tourism using data from 758 people obtained through an online survey targeting Ulaanbaatar residents. As a result of the estimation, it was found that the variables that affect potential demand are the experience fees, average monthly household income, gender, age, arol consumption, and education level. The potential demand for dairy processing experience tourism was measured by multiplying the population of Ulaanbaatar by the estimated probability of accepting the experience tourism, and the total revenue was maximum at 32.303 million Tuk when the experience fee was 50,000 Tuk. The implications based on the analysis results are that, in order to promote participation in the experience tourism, it is necessary to promote it primarily to people with high average monthly household income, high level of education, younger age groups, and male. It can be said that preference is high and sufficient potential demand exists, but it is suggested that appropriate setting of experience fees is important.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.53-74
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• 2018

Since South Korea has an economic structure that has a characteristic which market-dependent on overseas, the tourism industry is considered as a very important industry for the national economy, such as improving the country's balance of payments or providing income and employment increases. Accordingly, the necessity of more accurate forecasting on the demand in the tourism industry has been raised to promote its industry. In the related research, economic variables such as exchange rate and income have been used as variables influencing tourism demand. As information technology has been widely used, some researchers have also analyzed the effect of media on tourism demand. It has shown that the media has a considerable influence on traveler's decision making, such as choosing an outbound destination. Furthermore, with the recent availability of online information searches to obtain the latest information and two-way communication in social media, it is possible to obtain up-to-date information on travel more quickly than before. The information in online media such as blogs can naturally create the Word-of-Mouth effect by sharing useful information, which is called eWOM. Like all other service industries, the tourism industry is characterized by difficulty in evaluating its values before it is experienced directly. And furthermore, most of the travelers tend to search for more information in advance from various sources to reduce the perceived risk to the destination, so they can also be influenced by online media such as online news. In this study, we suggested that the number of online media posting, which causes the effects of Word-of-Mouth, may have an effect on the number of outbound travelers. We divided online media into public media and private media according to their characteristics and selected online news as public media and blog as private media, one of the most popular social media in tourist information. Based on the previous studies about the eWOM effects on online news and blog, we analyzed a relationship between the volume of eWOM and the outbound tourism demand through the panel model. To this end, we collected data on the number of national outbound travelers from 2007 to 2015 provided by the Korea Tourism Organization. According to statistics, the highest number of outbound tourism demand in Korea are China, Japan, Thailand, Hong Kong and the Philippines, which are selected as a dependent variable in this study. In order to measure the volume of eWOM, we collected online news and blog postings for the same period as the number of outbound travelers in Naver, which is the largest portal site in South Korea. In this study, a panel model was established to analyze the effect of online media on the demand of Korean outbound travelers and to identify that there was a significant difference in the influence of online media by each time and countries. The results of this study can be summarized as follows. First, the impact of the online news and blog eWOM on the number of outbound travelers was significant. We found that the number of online news and blog posting have an influence on the number of outbound travelers, especially the experimental result suggests that both the month that includes the departure date and the three months before the departure were found to have an effect. It is shown that online news and blog are online media that have a significant influence on outbound tourism demand. Next, we found that the increased volume of eWOM in online news has a negative effect on departure, while the increase in a blog has a positive effect. The result with the country-specific models would be the same. This paper shows that online media can be used as a new variable in tourism demand by examining the influence of the eWOM effect of the online media. Also, we found that both social media and news media have an important role in predicting and managing the Korean tourism demand and that the influence of those two media appears different depending on the country.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.946-954
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• 2016

Energy industry is undergoing a paradigm shift in customer participation in the smartgrid. Customers traditionally consume electrical power. But nowadays not only do they generate electricity from private distributed generations, they can participate in demand response programs with their negawatt power which means a theoretical unit of power representing an amount of energy saved. Therefore development of decision-making criteria for electric load aggregation becomes a greater consideration as an amount of energy saved from demand response resources increases. This paper proposes load aggregators' decision-making criteria in the industrial sector where it made up the largest portion in demand response portfolio in order to assure reliability performance for demand response resources.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.7
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• pp.1157-1166
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• 2008

This paper presents a new approach for the evaluation of location marginal prices (LMPs) considering demand-side bidding (DSB) in a competitive electricity market. The stabilization of the electric power supply and demand balance is one of the major important activities in electric power industry. In this paper, we present an analytical method for calculation of LMPs considering DSB, which has opportunity to compete with generating units, as England & Wales Pool's DSB scheme[1]. Also, we propose a new approach that LMP considering DSB is divided into three components. The proposed approach can be used for the evaluation of demand-side bidding into the electricity market and the assessment of the influence of DSB on total production costs and LMPs as well as three components.

• Journal of Technology Innovation
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• v.14 no.1
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• pp.147-175
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• 2006

One of the biggest problems of Korean economy is polarization of firms for export and domestic demand and that of conglomerates and SME's achievement. One of the culprits lies weakness of intermediate industry such as machine tool. Since intermediate industry is important path where export performance affects domestic demand and whose actor usually is SMEs with high spill over effect in labor market. Especially, intermediate industry Is vulnerable because of industrial policy biased In backward linkage effect. However if a country fails to develop intermediate industry above some critical point, that country would fall in low-tech equilibrium without growth. In case of benign circle where final goods industry growth leads growth of intermediate industry and again it leads that of final goods industry, it can reach high-tech equilibrium. By contrast, in opposite case where in industrialization latecomer fails to link industries likewise above some critical point that country would fall in low-tech equilibrium without growth. Moreover, for several reasons, machine tool firms of Korea have difficulty in catching up technology above critical point. Firstly. Conglomerate demander neglects their product. Secondly, even after success of development overcoming difficulties they fail to get market share for response of dumping of foreign competitors. And the last one is patent litigation of foreign competitors that incapacitate the technology development. For these, Korean machine tool firms fell in 'middle-income country trap' itself, since they stuck in some extent when they technologically catch up. Consequently, for latecomer country in machine tool industry to leapfrog meaningfully policy support is necessary, Weak intermediate industry does not Induce domestic firms and remained fragile. Therefore, localization, policy should reflect condition of technological catch up more than before, in order to be effective and fruitful. There should be turning point over relationship between conglomerates, major demander of machine tool and SME's, for only with active purchasing of conglomerate Korean machine industry can grow.