• The Journal of Fisheries Business Administration
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• v.34 no.2
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• pp.91-107
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• 2003

Distribution of fish products from Tongyoung Marine ranching can be classified by three routes such as street-stall, live fish transportation vehicles, and wholesale markets neighboring unloading ports. These methods of distribution, however, have been restricted by limited distribution right, difficulties to differentiate fish prices from other surfaces, simple marketing channels. The ratio of cultured live fish circulated in market is increasing while naturally caught live fish is decreasing and the fresh fish shows a little of increasing rate. Consumers purchasing routes mainly depend on the live fish transportation merchants. For fresh fish traditional market plays an important role in trade. Convenience for consumers and quality of products are main factors in making decision of purchases. Bargaining power, however, belongs to the live fish transportation merchants. The demand of special markets for live fish was very strong, and the convenience and quality are relatively important required factors. Catch from Tongyoung Marine ranching has very good reputation as the possibility of being a good brand. Expecting possibility of quality differentiation was higher than price differentiation specially. The possible conclusion of a contract of a supply was suspicious however. Preliminary quality evaluation revealed that the catch is better than the cultured but worse than naturally grown fish. A merchandising is to be in a better position in the formation of prices by giving $\ulcorner$brand image$\lrcorner$ to potential consumers. The target markets are retail stores such as restaurants for raw fish and final consumers. The staple markets are retail stores. Possible items of products are live fish, fresh fish for cook, and fresh fish for raw fish. It is necessary for the catch to be informed as new functional products that have been improved in safety and quality, since the product positioning is similar but not well known to consumers. To secure a brand it is required to register a trademark, eco-label product design or packing, use real name in tranction, introduce recall system, and put label. Price higher than naturally grown live fish should be targeted. Establishing broad distribution channel, wholesale market, franchise are required. To secure enough catch and control shipment of products facilities of containing live fish are necessary. Instead of dealing with live fish only, it would be better to. sell fresh fish and live fish simultaneous. Strategically promotion focuses on advertisement of Marin ranching at first and then focuses on the catch from the marine ranching.

• The Korean Journal of Financial Management
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• v.8 no.2
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• pp.209-255
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• 1991

This paper develops a simple model to explain the reasons why foreign acquirers pay significantly higher premiums for U.S. target firms than do U.S. buyers. We also provide empirical work on the valuation effect of foreign takeovers and the determinants of the wealth gains of U.S. target shareholders involved in foreign takeovers. The results indicate that target wealth gains are significantly higher in foreign takeovers than in domestic takeovers, after controlling for the wealth effects of payment method, acquisition type, tax status, size and time period of bids. This confirms the valuation effect of foreign takeovers. Furthermore, the results of cross-sectional regression analysis show that the variation in U.S. target wealth gains is explained by extra tax benefits stemming from double tax deductions for acquisition-related interest expenses incurred by foreign acquirers. These findings imply that differential taxation across tax jurisdictions is the main source of the valuation effect of foreign takeovers. In addition, we find that there exists a valuation effect of the nationality of the foreign acquirers. Japanese companies pay significantly higher premiums than do non-Japanese acquirers. The finding also indicates that competition among bidders increases the abnormal returns to U.S. target shareholders in foreign takeovers.

• The Journal of the Korean dental association
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• v.53 no.4
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• pp.266-274
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• 2015

The price for health service are decided by very complicated process because many of factors are related with them. The RBRVS(resource-based relative value scale) were used to calculate the Korean health service fees including dental fees. This study aimed to compare dental fees of Korea with other countries, such as Japan, Germany, and the US for evaluating the adequacy. Dental fees were categorized as oral evaluation and imaging, dental treatment including restorative, periodontal, and surgical work, and preventive treatment and compared by each country. The official documents about dental fees were collected from Korea, Japan, Germany, and the US. Each fee was presented as their own currency at first. Then they were converted into Korean won (KRW) by applying the market exchange rates at a specific point of time. Finally the fees were adjusted by purchasing power parities (PPPs) which equalize the different currencies. In general, the level of Korean fees were markedly low compared to those of Japan, Germany, and the US. German fees were similar or higher than that of Japan, and the US. The Korean fees were lower than three other countries 1.2~4.1 times for oral evaluation and 2.2~7.3 times lower for panoramic radiography. The endodontic fees of Japan, Germany, and the US were higher 1.8~15.3 times and 4.0~35.9 times for the deciduous teeth extraction compared to the Korean. In Japan the prophylaxis was 3.2 times more priced than the Korean fee. Exceptionally, the fees for re-evaluation, amalgam filling, and scaling were lower priced in Japan than other countries. This study has limitations on the items in definition and contents of dental practices units which were not exactly comparable and differently determined by countries. However, this study is meaningful because it surveyed the price levels to compare four different countries and then applied PPPs adjustment. This finding can be used to develop the dental RBRVs of Korean national health insurance and will contribute to improving the payment systems of health care.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.533-545
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• 2014

Farmers' perception on actual raising conditions and breeding improvement for Hanwoo were surveyed and analyzed in order to utilize such data as basic resources for further development of courses of Hanwoo improvement and instructions on raising techniques. The survey was held based on Hanwoo farmers in Gyeongbuk region and the results for the analysis were as follow. Candidate cattle for breeding was selected in consideration of 'appearance, body shape, and pedigree-registration' (39.0%) and 'artificial insemination' (38.6%) was the most frequently used breeding method for the breeding cattle. 'Body length' was revealed to be the most considered factor while purchasing fattening calves and the castration for the fattening calves were mostly performed when '6~7 months after the birth'. The farmers also responded that they 'try to comply with over 80% of items specified in program for production of high quality beef' in order to produce high quality beef. However, the farmers believed that '12 months after the birth' was the most economic market month. Although the results differed by each items surveyed, majority of those results showed statistically significant differences with significance level of 0.05 upon the surveyees' general characteristics and demographic factors including level of education, age, occupation, and family man power. Most surveyees responded 'around 30% of shipping heads' (22.1%) for the prevalence of beef graded better than 1++ grade when shipping, however, no significant differences in between general characteristics of surveyees were observed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1682-1694
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• 2007

There are a lot of factors working to facilitate the decline of Korea's traditional markets including large-scale discount stores, convenience stores, businesses of new types such as non-store retailing, and fiercer competitions among retail shops. The changes to the business environment are never favorable to them, either; the consumers have developed more diverse tastes and altered their purchasing styles; and the trading areas around traditional markets have withdrawn in size and power as new towns attract more businesses. In a word, every factor and situation seems to push traditional markets down the slope. Reacting to the problems, the Korean government enacted and enforced the "Special Law for the Promotion of Traditional Markets and Shopping Streets" to provide proper financial and management support. The shop owners of traditional markets formed merchants and prosperity associations and took various initiatives to increase the competitive edge of their traditional markets. All those efforts on the part of the government and the merchants, however, do not seem to be enough to revive traditional markets. This study set out to compare and analyze the management of shop owners of traditional markets based on the support projects by the government, to conduct an empirical research and analysis of their management conditions, and to suggest a better policy model by making improvements for the government's support system and making revisions to the current directions.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.59-76
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• 2023

Since the COVID-19 era, the rise in apartment prices has been unconventional. In this uncertain real estate market, price prediction research is very important. In this paper, a model is created to predict the actual transaction price of future apartments after building a vast data set of 870,000 from 2015 to 2020 through data collection and crawling on various real estate sites and collecting as many variables as possible. This study first solved the multicollinearity problem by removing and combining variables. After that, a total of five variable selection algorithms were used to extract meaningful independent variables, such as Forward Selection, Backward Elimination, Stepwise Selection, L1 Regulation, and Principal Component Analysis(PCA). In addition, a total of four machine learning and deep learning algorithms were used for deep neural network(DNN), XGBoost, CatBoost, and Linear Regression to learn the model after hyperparameter optimization and compare predictive power between models. In the additional experiment, the experiment was conducted while changing the number of nodes and layers of the DNN to find the most appropriate number of nodes and layers. In conclusion, as a model with the best performance, the actual transaction price of apartments in 2021 was predicted and compared with the actual data in 2021. Through this, I am confident that machine learning and deep learning will help investors make the right decisions when purchasing homes in various economic situations.

• Journal of the Korea Institute of Building Construction
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• v.23 no.2
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• pp.175-185
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• 2023

Upon analyzing labor productivity in the construction industry across OECD countries, it was found that in 2019, labor productivity per employee in the South Korean construction industry was lower than that of major developed countries when adjusted for purchasing power parity(PPP). Specifically, when benchmarked against other countries at a base of 100, South Korea scored 76.9 in the United States, 88.4 in Japan, and 85.1 in the OECD average. Notably, South Korea ranked 25th in labor productivity per employee in the construction industry among 35 OECD countries in 2019, indicating a low standing. A comparative analysis of the construction market size and labor productivity in the construction industry across OECD countries revealed that larger construction markets did not necessarily correlate with higher labor productivity. To enhance labor productivity in the construction industry, this study proposed the active implementation of smart construction technology at construction sites and the promotion of on-site assembly work using off-site construction(OSC) technology, rather than traditional on-site labor. Moreover, it was recommended that the development of modular construction methods and technologies be expanded. In the future, if off-site production methods and modules are further developed through advanced robotics and factory automation, labor productivity is anticipated to increase due to the restructuring of production methods, such as manufacturing.

• Journal of Space Technology and Applications
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• v.3 no.3
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• pp.199-212
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• 2023

In contrast to the short-term nature of lunar missions in the past, lunar missions in new space era aim to extend the presence on the lunar surface and to use this capability for the Mars exploration. In order to realize extended human presence on the Moon, production and use of consumables and fuels required for the habitation and transportation using in-situ resources is an important prerequisite. The Global Exploration Roadmap presented by the International Space Exploration Coordination Group (ISECG), which reflects the space exploration plans of participating countries, shows the phases of progress from lunar surface exploration to Mars exploration and relates in-situ resource utilization (ISRU) capabilities to each phase. Based on the ISRU Gap Assessment Report from the ISECG, ISRU technology is categorized into in-situ propellant and consumable production, in-situ construction, in-space manufacturing, and related areas such as storage and utilization of products, power systems required for resource utilization. Among the lunar resources, leading countries have prioritized the utilization of ice water existing in the permanent shadow region near the lunar poles and the extraction of oxygen from the regolith, and are preparing to investigate the distribution of resources and ice water near the lunar south pole through unmanned landing missions. Resource utilization technologies such as producing hydrogen and oxygen from water by hydroelectrolysis and extracting oxygen from the lunar regolith are being developed and tested in relevant lunar surface analogue environments. It is also observed that each government emphasizes the use and development of the private sector capabilities for sustainable lunar surface exploration by purchasing lunar landing services and providing opportunities to participate in resource exploration and material extraction.

• Korea Trade Review
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• v.48 no.2
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• pp.111-127
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• 2023

While the e-commerce market in Southeast Asia is growing, this study aims to derive factors for establishing an entry strategy for the Cambodian e-commerce market where Korean logistics companies can strategically enter in the future. Cambodia is a country where growth and growth potential in the e-commerce market is steadily increasing based on the high youth population ratio, high smartphone penetration rate, the introduction of convenient payment systems, and government-level e-commerce promotion policies. In this study, Korean logistics companies established detailed promotion strategies by deriving factors necessary for Cambodia's entry into the e-commerce market and analyzing their relative importance. The AHP analysis technique derived three top factors for the entry strategy, and each presented four sub-factors. As a result, the importance was shown in the order of 'Market Factor' (0.556), 'Policy and Institutional Factor' (0.295), and 'Corporate Competency Factor' (0.149). As a result of the sub-factors analysis, the importance was found in the order of "Characteristics and Growth Potential of Distribution Channel" (0.230), "Purchasing Power and Awareness Level of Consumers" (0.176), "Cambodia Government's E-commerce Policy and Institutional Support" (0.122), and "Cambodia Government's Logistics Infrastructure Plan" (0.108). In both the upper and lower factors, the characteristics and growth potential of the Cambodian e-commerce market were important, indicating that Korean logistics companies value market size and growth potential to enter the Cambodian e-commerce market. The results of this study can be used as a guideline to help Korean logistics companies make successful inroads into Cambodia, where the e-commerce market is expected to grow in the future.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.93-111
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• 2013

As Internet and information technology (IT) continues to develop and evolve, the issue of big data has emerged at the foreground of scholarly and industrial attention. Big data is generally defined as data that exceed the range that can be collected, stored, managed and analyzed by existing conventional information systems and it also refers to the new technologies designed to effectively extract values from such data. With the widespread dissemination of IT systems, continual efforts have been made in various fields of industry such as R&D, manufacturing, and finance to collect and analyze immense quantities of data in order to extract meaningful information and to use this information to solve various problems. Since IT has converged with various industries in many aspects, digital data are now being generated at a remarkably accelerating rate while developments in state-of-the-art technology have led to continual enhancements in system performance. The types of big data that are currently receiving the most attention include information available within companies, such as information on consumer characteristics, information on purchase records, logistics information and log information indicating the usage of products and services by consumers, as well as information accumulated outside companies, such as information on the web search traffic of online users, social network information, and patent information. Among these various types of big data, web searches performed by online users constitute one of the most effective and important sources of information for marketing purposes because consumers search for information on the internet in order to make efficient and rational choices. Recently, Google has provided public access to its information on the web search traffic of online users through a service named Google Trends. Research that uses this web search traffic information to analyze the information search behavior of online users is now receiving much attention in academia and in fields of industry. Studies using web search traffic information can be broadly classified into two fields. The first field consists of empirical demonstrations that show how web search information can be used to forecast social phenomena, the purchasing power of consumers, the outcomes of political elections, etc. The other field focuses on using web search traffic information to observe consumer behavior, identifying the attributes of a product that consumers regard as important or tracking changes on consumers' expectations, for example, but relatively less research has been completed in this field. In particular, to the extent of our knowledge, hardly any studies related to brands have yet attempted to use web search traffic information to analyze the factors that influence consumers' purchasing activities. This study aims to demonstrate that consumers' web search traffic information can be used to derive the relations among brands and the relations between an individual brand and product attributes. When consumers input their search words on the web, they may use a single keyword for the search, but they also often input multiple keywords to seek related information (this is referred to as simultaneous searching). A consumer performs a simultaneous search either to simultaneously compare two product brands to obtain information on their similarities and differences, or to acquire more in-depth information about a specific attribute in a specific brand. Web search traffic information shows that the quantity of simultaneous searches using certain keywords increases when the relation is closer in the consumer's mind and it will be possible to derive the relations between each of the keywords by collecting this relational data and subjecting it to network analysis. Accordingly, this study proposes a method of analyzing how brands are positioned by consumers and what relationships exist between product attributes and an individual brand, using simultaneous search traffic information. It also presents case studies demonstrating the actual application of this method, with a focus on tablets, belonging to innovative product groups.