• Korean Journal of Agricultural Science
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• v.47 no.3
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• pp.533-544
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• 2020

In this paper, we conducted a dynamic ex-post assessment on the grape business cessation support System. Based on the analysis results, in the short term, there was an increase in grape price due to a decrease in production and accompanying increases in the prices of consumption substitution items. However, in the long run, grape prices fell again due to an increase in grape production because of the entry of new grape farmers and the growth of adult grape trees. In addition, the analysis showed that the balloon effect caused by the conversion of crops caused indirect damage such as an increase in the production volume of substitution crops and a decrease in prices. When analyzing the social welfare measurement, the results showed that the support system for business cessation increased the overall social welfare due to an increase in producer welfare because of a price increase in the short term, but in the long term, both producer and consumer welfare decreased. In the end, it is necessary to review the system because the government's intervention may cause market distortion and inefficient resource allocation. Above all, it is necessary to minimize the indirect effect of the industry's contraction and balloon effect due to excessive business cessation. For this, conditional support should be provided in parallel with post management rather than unconditional support. In addition, it is necessary to provide a strategic support system that considers substitution items in addition to those items to be supported.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.19-27
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• 2008

The advance of IT brings various IT equipment which functions as creation, application, and distribution of digital contents, and its demand is increased in the market. As the world IT equipment market has grew steadily, some companies think of it as a good opportunity. But there is a entry barrier like IT Capabilities to the late movers. So some participate in the market, forming the technology alliance with a advanced company. Ironically, the market system set companies' partnership into rivalry. In this context, our study focused on strengthening late mover's competitiveness under the technology alliance. And we conducted the case study concerning the technology alliance, and showed a strategical implications. As a result, we found some challenges for late mover; price policy making by scientific demanding forecasting, preparatory research and management for brand identity and efficient contact points for customer management. We hope that results of the study will influence the development of digital contents industry.

• Korean Journal of Construction Engineering and Management
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• v.7 no.4 s.32
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• pp.109-117
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• 2006

The domestic construction market is recovered after a foreign exchange crises but recently it's daunted again because of the sustainable real estate regulation policy by the government. The other aspect, after the WTO(World Trade Organization) system opened overseas construction is growing continuously with growth of international economy and opening of market through world. Moreover, for ballooning oil prices an orders increase by oil-producing countries, the Middle East, gives good chances to domestic construction enterprises. But, the domestic firms decrease on our domain by chases of developing country and high-technology or advanced country. This research will indicate processes of our construction business to analyze performance record about our overseas construction from the 1970s to present. Based on the results it intends to search for problems of our construction enterprises and provide useful analytic data for expansion of overseas construction market.

• Land and Housing Review
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• v.4 no.4
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• pp.361-370
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• 2013

The purpose of this paper is to appraise Bogeumzari Housing Program(BHP) which is providing public housing of different types for the target brackets on a matching system basis. Especially, on government's announcing BHP plan with the designation of several Bogeumzari districts in Seoul Metropolitan area, they raised a question about target groups' receiving the benefits of BHP plan and this paper focuses on the question. We tried to analyze two topics. First one is about the exorbitant windfall profits to the future potential residents derived from low price or rental cost of Bogeumzari Housing in comparison with neighborhood's market price. Second one is the low possibility of low-moderate income household's access to absolutely high price Bogeumzari Housing that is because the market price is so high in some area. BHP includes not only long-term public rental hosing(Permeant rental housing, National rental housing) for low income households but also other types of public rental housing(10-year rental housing, shared-ownership rental housing) for moderate income households. So, in this study we tried to find out the affordability of each bracket in three public housing types, which are public sales housing(condominium), 10-year rental housing and shared-ownership rental housing. Through analyzing the housing affordability by types, regions, size, we tried to seek the answer to the controversy and propose policy implications related to the future public housing programs.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.39-55
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• 2019

Recently banks and large financial institutions have introduced lots of Robo-Advisor products. Robo-Advisor is a Robot to produce the optimal asset allocation portfolio for investors by using the financial engineering algorithms without any human intervention. Since the first introduction in Wall Street in 2008, the market size has grown to 60 billion dollars and is expected to expand to 2,000 billion dollars by 2020. Since Robo-Advisor algorithms suggest asset allocation output to investors, mathematical or statistical asset allocation strategies are applied. Mean variance optimization model developed by Markowitz is the typical asset allocation model. The model is a simple but quite intuitive portfolio strategy. For example, assets are allocated in order to minimize the risk on the portfolio while maximizing the expected return on the portfolio using optimization techniques. Despite its theoretical background, both academics and practitioners find that the standard mean variance optimization portfolio is very sensitive to the expected returns calculated by past price data. Corner solutions are often found to be allocated only to a few assets. The Black-Litterman Optimization model overcomes these problems by choosing a neutral Capital Asset Pricing Model equilibrium point. Implied equilibrium returns of each asset are derived from equilibrium market portfolio through reverse optimization. The Black-Litterman model uses a Bayesian approach to combine the subjective views on the price forecast of one or more assets with implied equilibrium returns, resulting a new estimates of risk and expected returns. These new estimates can produce optimal portfolio by the well-known Markowitz mean-variance optimization algorithm. If the investor does not have any views on his asset classes, the Black-Litterman optimization model produce the same portfolio as the market portfolio. What if the subjective views are incorrect? A survey on reports of stocks performance recommended by securities analysts show very poor results. Therefore the incorrect views combined with implied equilibrium returns may produce very poor portfolio output to the Black-Litterman model users. This paper suggests an objective investor views model based on Support Vector Machines(SVM), which have showed good performance results in stock price forecasting. SVM is a discriminative classifier defined by a separating hyper plane. The linear, radial basis and polynomial kernel functions are used to learn the hyper planes. Input variables for the SVM are returns, standard deviations, Stochastics %K and price parity degree for each asset class. SVM output returns expected stock price movements and their probabilities, which are used as input variables in the intelligent views model. The stock price movements are categorized by three phases; down, neutral and up. The expected stock returns make P matrix and their probability results are used in Q matrix. Implied equilibrium returns vector is combined with the intelligent views matrix, resulting the Black-Litterman optimal portfolio. For comparisons, Markowitz mean-variance optimization model and risk parity model are used. The value weighted market portfolio and equal weighted market portfolio are used as benchmark indexes. We collect the 8 KOSPI 200 sector indexes from January 2008 to December 2018 including 132 monthly index values. Training period is from 2008 to 2015 and testing period is from 2016 to 2018. Our suggested intelligent view model combined with implied equilibrium returns produced the optimal Black-Litterman portfolio. The out of sample period portfolio showed better performance compared with the well-known Markowitz mean-variance optimization portfolio, risk parity portfolio and market portfolio. The total return from 3 year-period Black-Litterman portfolio records 6.4%, which is the highest value. The maximum draw down is -20.8%, which is also the lowest value. Sharpe Ratio shows the highest value, 0.17. It measures the return to risk ratio. Overall, our suggested view model shows the possibility of replacing subjective analysts's views with objective view model for practitioners to apply the Robo-Advisor asset allocation algorithms in the real trading fields.

• Journal of Intelligence and Information Systems
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• v.17 no.2
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• pp.61-75
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• 2011

A Geographic Information System(GIS) is a system that captures, stores, analyzes, manages and presents data with reference to geographic location data. In the later 1990s and earlier 2000s it was limitedly used in government sectors such as public utility management, urban planning, landscape architecture, and environmental contamination control. However, a growing number of open-source packages running on a range of operating systems enabled many private enterprises to explore the concept of viewing GIS-based sales and customer data over their own computer monitors. K telecommunication company has dominated the Korean telecommunication market by providing diverse services, such as high-speed internet, PSTN(Public Switched Telephone Network), VOLP (Voice Over Internet Protocol), and IPTV(Internet Protocol Television). Even though the telecommunication market in Korea is huge, the competition between major services providers is growing more fierce than ever before. Service providers struggled to acquire as many new customers as possible, attempted to cross sell more products to their regular customers, and made more efforts on retaining the best customers by offering unprecedented benefits. Most service providers including K telecommunication company tried to adopt the concept of customer relationship management(CRM), and analyze customer's demographic and transactional data statistically in order to understand their customer's behavior. However, managing customer information has still remained at the basic level, and the quality and the quantity of customer data were not enough not only to understand the customers but also to design a strategy for marketing and sales. For example, the currently used 3,074 legal regional divisions, which are originally defined by the government, were too broad to calculate sub-regional customer's service subscription and cancellation ratio. Additional external data such as house size, house price, and household demographics are also needed to measure sales potential. Furthermore, making tables and reports were time consuming and they were insufficient to make a clear judgment about the market situation. In 2009, this company needed a dramatic shift in the way marketing and sales activities, and finally developed a dedicated GIS_based market analysis and sales management system. This system made huge improvement in the efficiency with which the company was able to manage and organize all customer and sales related information, and access to those information easily and visually. After the GIS information system was developed, and applied to marketing and sales activities at the corporate level, the company was reported to increase sales and market share substantially. This was due to the fact that by analyzing past market and sales initiatives, creating sales potential, and targeting key markets, the system could make suggestions and enable the company to focus its resources on the demographics most likely to respond to the promotion. This paper reviews subjective and unclear marketing and sales activities that K telecommunication company operated, and introduces the whole process of developing the GIS information system. The process consists of the following 5 modules : (1) Customer profile cleansing and standardization, (2) Internal/External DB enrichment, (3) Segmentation of 3,074 legal regions into 46,590 sub_regions called blocks, (4) GIS data mart design, and (5) GIS system construction. The objective of this case study is to emphasize the need of GIS system and how it works in the private enterprises by reviewing the development process of the K company's market analysis and sales management system. We hope that this paper suggest valuable guideline to companies that consider introducing or constructing a GIS information system.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.119-138
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• 2016

Since the Industrial Revolution, which made the mass production and mass distribution of standardized goods possible, machine-made (manufactured) products have accounted for the majority of the market. However, in recent years, the phenomenon of purchasing even more expensive handmade products has become a noticeable trend as consumers have started to acknowledge the value of handmade products, such as the craftsman's commitment, belief in their quality and scarcity, and the sense of self-esteem from having them,. Consumer interest in these handmade products has shown explosive growth and has been coupled with the recent development of three-dimensional (3D) printing technologies. Etsy.com is the world's largest online handmade platform. It is no different from any other online platform; it provides an online market where buyers and sellers virtually meet to share information and transact business. However, Etsy.com is different in that shops within this platform only deal with handmade products in a variety of categories, ranging from jewelry to toys. Since its establishment in 2005, despite being limited to handmade products, Etsy.com has enjoyed rapid growth in membership, transaction volume, and revenue. Most recently in April 2015, it raised funds through an initial public offering (IPO) of more than 1.8 billion USD, which demonstrates the huge potential of online handmade platforms. After the success of Etsy.com, various types of online handmade platforms such as Handmade at Amazon, ArtFire, DaWanda, and Craft is ART have emerged and are now competing with each other, at the same time, which has increased the size of the market. According to Deloitte's 2015 holiday survey on which types of gifts the respondents plan to buy during the holiday season, about 16% of U.S. consumers chose "homemade or craft items (e.g., Etsy purchase)," which was the same rate as those for the computer game and shoes categories. This indicates that consumer interests in online handmade platforms will continue to rise in the future. However, this high interest in the market for handmade products and their platforms has not yet led to academic research. Most extant studies have only focused on machine-made products and intelligent services for them. This indicates a lack of studies on handmade products and their intelligent services on virtual platforms. Therefore, this study used signaling theory and prior research on the effects of sellers' characteristics on their performance (e.g., total sales and price premiums) in the buyer-seller relationship to identify the key influencing e-Image factors (e.g., reputation, size, information sharing, and length of relationship). Then, their impacts on the performance of shops within the online handmade platform were empirically examined; the dataset was collected from Etsy.com through the application of web harvesting technology. The results from the structural equation modeling revealed that the reputation, size, and information sharing have significant effects on the total sales, while the reputation and length of relationship influence price premiums. This study extended the online platform research into online handmade platform research by identifying key influencing e-Image factors on within-platform shop's total sales and price premiums based on signaling theory and then performed a statistical investigation. These findings are expected to be a stepping stone for future studies on intelligent online handmade services as well as handmade products themselves. Furthermore, the findings of the study provide online handmade platform operators with practical guidelines on how to implement intelligent online handmade services. They should also help shop managers build their marketing strategies in a more specific and effective manner by suggesting key influencing e-Image factors. The results of this study should contribute to the vitalization of intelligent online handmade services by providing clues on how to maximize within-platform shops' total sales and price premiums.

• Journal of Advanced Marine Engineering and Technology
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• v.31 no.8
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• pp.1020-1027
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• 2007

As a national enterprise has been expanded over and over, the worldwide energy consumption has been growing necessarily. Moreover, as recently energy spendings are on the increase in countries such as BRICs, it has resulted that a rise in the price of both oil and mineral resources and instability between supply and demand become serious issue in the world resources market. The recent high price of oil and mineral resources have a deep influence on economy and threaten energy security and even national prosperity of Korea. In addition to these, exhaustion of fossil fuels and the enhanced greenhouse effect which results from gases emitted as a result of fossil fuels has been in serious questions which occur a great deal of effort to secure clean energy resources all around the world. As it is considerably possible for Korea that the Kyoto protocol may come into effect on and after 2013, it is essential to require the technological development to promote energy efficiency as well as to develope safe and renewable energy resources. The wind energy technology which converts kinetic energy into electrical energy has been in the focus of the world's attention. In this study, two-dimensional numerical analyses were conducted to observe subsidence aspects of the sea bottom on differently applied loads and various ground conditions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.735-740
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• 2021

The purpose of this study is to assess how accounting conservatism is practiced in the Jordanian pharmaceuticals and medical industry. It assesses the association between accounting conservatism and intellectual capital (IC) in this industry. This study measures IC performance using the market price per share less book value. Accounting conservatism is measured using the book-to-price ratio, and the data was collected from company annual reports and the Amman Stock Exchange (ASE) website. The data was collected for the period of six years (2014 to 2019). The sample was made up of four companies in the industry listed in the ASE. The data was analyzed using the SPSS program though the ordinary least squares regression model to assess how accounting conservatism is associated with IC. The findings indicate a negative association with companies having higher IC performance and reporting lower accounting conservatism. IC is applied more in these companies, although it might be lower than in other companies in other sectors. This study provides empirical evidence on how IC is applied in the industry and how it might be negatively associated with accounting conservatism. Findings indicate the need for more effective policies to promote recognition of intangible assets in the sector.

• Korean Journal of Organic Agriculture
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• v.30 no.3
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• pp.375-391
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• 2022

This study investigated the online transaction status of low-carbon certified fresh agricultural products and analyzed the low-carbon certified premium. For two months from March to April 2022, eight products (rice, apple, pear, sweet persimmons, paprika, tomatoes, cherry tomatoes, and lettuce) were surveyed at major online shopping malls. The low-carbon certification premium was analyzed using hedonic price analysis model. As a result of the online market survey, the low-carbon certified agricultural products were not traded in the case of rice, cherry tomatoes, and paprika. And the proportion of low-carbon certified agricultural products in the case of tomatoes and lettuce was low. As a result of the low-carbon premium analysis, of the five products that analyzed the low-carbon certification premium, four products excluding pear did not have a low-carbon certification premium. Thus, it is necessary to expand the sale of the low-carbon certified agricultural products by distributors, and various efforts to secure the premium of certified agricultural products are important.