At a time when the e-commerce market is experiencing accelerated growth, with advancements in information and communications technology (ICT), the problems of distribution of counterfeit products and consumer confusion caused by non-face-to-face purchases have increased. Hence, amid intensifying competition, it has become important for e-commerce companies deliver product information more efficiently, provide differentiated services, and secure credibility for consumers by reducing consumer damage from buying counterfeit products. However, even though consumer confusion and the inadvertent purchase of counterfeit products are intensifying in such a market scenario, there are no services that aim to solve such problems. This study examines the conventional e-commerce industry in South Korea through a political, economic, social, and technological (PEST) analysis, based on in-depth interviews with consumers, to derive the pain and gain points of the industry. As a result, the inherent problems of the e-commerce industry were revealed. Through a service value network perspective, services aimed at resolving such issues were derived, and the e-commerce business ecosystem needed to solve this problem was deduced. The findings revealed that the artificial intelligence-based service support platform has become a major driving force within the e-commerce innovation ecosystem by enabling a new way to create and secure value using ICT. This entails a new exchange mechanism and transaction architecture and a new organizational structure that breaks the barriers between industries.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2014.10a
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pp.599-602
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2014
Proposal algorithm in this thesis introduced cells, units of router group, for distributed processing of previous genetic algorithm. This thesis presented ways to reduce search delay time of overall network through cell-based genetic algorithm. With regard to procedures of proposal algorithm, duplicated agents were transferred to the point, where the second, third, and fourth cells were created in order, after the first cell was made, and the agents were engineered to search the shortest path to each cell, and then find the most efficient element through competition.
Competition among cities has become fierce with decentralization and globalization, and each city tries to establish a brand image of the city to build its competitiveness and implement its policies based on it. At this time, surveys, expert interviews, etc. are commonly used to establish city brands. These methods are difficult to establish as sampling methods an empirical component, the biggest component of a city brand. In this paper, therefore, based on the precedent research's urban brand measurement and components, the words representing each city image property were extracted and relocated to five indicators to form the evaluation index. The constructed indicators have been validated through the review of three experts. Through the index, we analyzed the brands of four cities, Ulsan, Incheon, Yeosu, and Gyeongju, and identified the factors by using Topic Modeling and Word Cloud. This methodology is expected to reduce costs and monitor timely in identifying and analyzing urban brand images in the future.
Journal of Wellbeing Management and Applied Psychology
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v.4
no.2
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pp.1-13
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2021
Purpose: This study analyzed the general status and conditions of the kimchi industry in Korea. The purpose of this study is to contribute to the information of a desirable kimchi market by analyzing the distribution, price, market, and consumers of kimchi based on the current status and status of the kimchi industry in Korea. Research design, data and methodology: This study basically conducted research design and analysis based on theoretical consideration and kimchi market data. Results: The conclusion of the study is that in order to globalize kimchi, it is expected that a strategy to target overseas markets with relatively low competition through a low-salt diet and premium strategy along with the image of Western health is expected. Conclusions: In Korea, small and medium-sized companies can target the B2B (Business-to-Business) market first and then target department stores or convenience stores at a stable time in the future to expand sales channels and profitability through premium or low-cost policies. Another strategy is to target overseas markets as soon as the company stabilizes through B2B. Therefore, in the kimchi industry, it is necessary to establish a sales/marketing strategy according to what position and position of one's own company in the kimchi industry.
Traditional tie-dyeing is widely implemented in the clothing handicraft culture in China, South Korea, and Japan. Since it was developed 2,000 years ago, it has become a popular method of fabric making in the world and is highly respected by fashion designers. Based on the existing traditional tie-dyeing methods, this study conducted specific research on the 3D printing technology of the SLS laser method and the micro tool design application method of the clamp-dyeing process. Through the experimental methods of this study, it proposes to use the "7000 Nylon" material, which is commonly used in 3D printing, to develop a new clamp-dyeing tool. This new tool can be widely used in the clamp-dyeing of fabrics, such as cotton, hemp, silk, and some chemical fibers. The applied method and principle can be consistent with the traditional clamp-dyeing method. Therefore, the innovation of tie-dyeing technology is the best protection measure for the development and inheritance of traditional fabric making. The continuation of artistic life needs originality, which is also the best response to market competition. At the same time, this new design of the clamp-dyeing tool has the characteristics of novelty, innovation, and rich changes, which aligns with the new fashion demands of current fabric design.
Objectives In regard to the social competition hypothesis, depression is viewed as an involuntary defeat strategy. A previous study has demonstrated that adaptation in microenvironments can result in a wide range of behavioural patterns including defense activation disorders. Using a simulation model with evolutionary ecological agents, we explore how the fitness of various defence activation traits has changed over time in different environments with high and low social mobility. Methods The Evolutionary Ecological Model of Defence Activation Disorder, which is based on the Marginal Value Theorem, was used to examine changes in relative fitness for individuals with defensive activation disorders after adjusting for social mobility. Results Our study examined the effects of social mobility on fitness by varying the d-values, a measure of depression in the model. With a decline in social mobility, the level of fitness of individuals with high levels of defense activation decreased. We gained insight into the evolutionary influence of varying levels of social mobility on individuals' degrees of depression. In the context of a highly stratified society, the results support a mismatch hypothesis which states that high levels of defence are detrimental. Conclusions Despite the fact that niche specialization in habitats composed of multiple microenvironments can result in diverse levels of defensive activation being evolutionary strategies for stability, decreased social mobility may lead to a decrease in fitness of individuals with highly activated defence modules. There may be a reason behind the epidemic of depression in modern society.
Domestic distribution market is in a time of transition for the present. With consumers' diverse demands, the growth of department stores, shopping malls, specialized shops and so on has been taken place radically and the competition among them also has become severe. In order to promptly and positively cope with the radically changing trend of market and the generation of competing business entities, they are necessary to establish a discriminated indoor space plan. With such desires as the expansion of leisure activities based on the increase of personal income and the up-gradation, diversification and individualization of living standard based on economic growth, the dining-out space, one of people's life environments, need a variety of changes. In the past, the specialized restaurants of composite shopping malls and department stores were a mere mediating space of food sale between producers and consumers, but today they become a discriminated and creative indoor space which representing customers' lifestyle. The purpose of this study was to examine the characteristic of public space of specialized restaurants at composite shopping malls and department stores and then present a discriminated spatial marketing strategy in order to find out the direction of its proceeding in the future. Therefore, the purpose of this study was to work out basic data for the development of dining-out contents at the time of appearing diverse composite dining-out spaces in the future and of establishing a renovation plan of specialized restaurants at composite shopping malls and department stores in order to provide customers a space which could satisfy their desires. In this vein, the characteristic and composition of necessary space was analyzed based on the examination of cases. The investigator hopes that study findings are used as basic data for the study on the interrelationship between the sale space and dining-out space of composite commercial facilities and for the establishment of marketing strategy to attract customers.
Recently, the need to introduce smart farms is increasing in order to solve the problems of intensifying competition such as a decrease in rural population due to aging, a decrease in production, and the inflow of foreign agricultural products, and accordingly, the need for education is increasing. This paper is a study on the implementation of an Android-based IoT smart farm for education so that it can be used in a real environment by reducing the farm's smart farm system. To confirm that Android-based education can be applied in a real environment using the IoT smart farm for education, experiments were performed in automatic mode and manual mode using Bluetooth, Wi-Fi, and server/client communication methods. In the automatic mode, the current status can be checked in real time by receiving all data, and in the manual mode, commands are transmitted in real time using the received sensor data and remote control is performed. As a result of the experiment, it was possible to understand the characteristics of each communication method, and it was confirmed that remote monitoring and remote control of the smart farm using the Android App was possible.
This paper describes the forecast of power plant construction in a competitive korean electricity market. In Korea, KEPCO (Korea Electric Power Corporation, fully controlled by government) was responsible for from the production of the electricity to the sale of electricity to customer. However, the generation part is separated from KEPCO and six generation companies were established for whole sale competition from April 1st, 2001. The generation companies consist of five fossil power companies and one nuclear power company in Korea at present time. Fossil power companies are scheduled to be sold to private companies including foreign investors. Nuclear power company is owned and controlled by government. The competition in generation market will start from 2003. ISO (Independence System Operator will purchase the electricity from the power exchange market. The market price is determined by the SMP(System Marginal Price) which is decided by the balance between demand and supply of electricity in power exchange market. Under this uncertain circumstance, the energy policy planners such as government are interested to the construction of the power plant in the future. These interests are accelerated due to the recent shortage of electricity supply in California. In the competitive market, investors are no longer interested in the investment for the capital intensive, long lead time generating technologies such as nuclear and coal plants. Large unclear and coal plants were no longer the top choices. Instead, investors in the competitive market are interested in smaller, more efficient, cheaper, cleaner technologies such as CCGT(Combined Cycle Gas Turbine). Electricity is treated as commodity in the competitive market. The investors behavior in the commodity market shows that the new investment decision is made when the market price exceeds the sum of capital cost and variable cost of the new facility and the existing facility utilization depends on the marginal cost of the facility. This investors behavior can be applied to the new investments for the power plant. Under these postulations, there is the potential for power plant construction to appear in waves causing alternating periods of over and under supply of electricity like commodity production or real estate production. A computer model was developed to sturdy the possibility that construction will appear in waves of boom and bust in Korean electricity market. This model was constructed using System Dynamics method pioneered by Forrester(MIT, 1961) and explained in recent text by Sternman (Business Dynamics, MIT, 2000) and the recent work by Andrew Ford(Energy Policy, 1999). This model was designed based on the Energy Policy results(Ford, 1999) with parameters for loads and resources in Korea. This Korea Market Model was developed and tested in a small scale project to demonstrate the usefulness of the System Dynamics approach. Korea electricity market is isolated and not allowed to import electricity from outsides. In this model, the base load such as unclear and large coal power plant are assumed to be user specified investment and only CCGT is selected for new investment by investors in the market. This model may be used to learn if government investment in new unclear plants could compensate for the unstable actions of private developers. This model can be used to test the policy focused on the role of unclear investments over time. This model also can be used to test whether the future power plant construction can meet the government targets for the mix of generating resources and to test whether to maintain stable price in the spot market.
This study examines the competitiveness and cooperativeness among the container ports in East Asia by analyzing their monthly dynamics in eight years (2008-2015). Time series data on container throughput divided into origin and destination (O/D), such as the top six Chinese ports and the transshipment (T/S) ports such as Hong Kong, Busan, and Singapore, are computed with two methods based on the Vector Error Correction Model (VECM). The first Granger causality test results show that Busan T/S has significant bilateral relations with three Chinese O/D ports; and significant unidirectional relations with three other O/D ports. Shenzhen port has significant bilateral relations with Singapore, and has a significant unidirectional relation with Hong Kong port. Co-integrating test results showed that Busan holds negative co-integration with all Chinese O/D ports. Impulse response function (IRF) results show an opposite direction between paired ports. The ratios of the impulse from T/S ports are significantly high to one another in the short-run, but its power declines as time passes. The ratio of the impulse from the Chinese ports to T/S ports is less significant in the short-run period, however, it becomes more significant as time passes. The significance of most shocks was high in the second period, but was diluted after the sixth period.
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