• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.167-169
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• 2001

This paper introduces the principal pool rules of the wholesale power market scheduled to be commissioned in January 2003 in Korea. The pool rules includes electricity trading procedures such as bidding, determining and publishing of forecasted market price, and 5 minute unconstrained dispatch scheduling for generation/market price, which are required for settlement after dispatching and should be conformed by KPX and participants in the market. Detailed procedures of the rules are under development and additional provisions for stable market operation are under discussion.

• Journal of the Korean Home Economics Association
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• v.41 no.1
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• pp.93-110
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• 2003

This study delves into emerging costs and benefits of digital markets to consumers through in-depth interviews with 5 women and 4 men consumers. Four themes are founded from the analysis of the transcript as follows: 1) benefits of Internet shopping consisted with convenience, price efficiency, and fun, 2) distorted efficiencies consisted with distorted price efficiency, distorted time efficiency, and limited choices based on familiarity, 3) addiction to digital market consisted with waste, distorted satisfaction, and solidarity, and 4) stages in consumer types according to shopping experiences from the novice, the explorer, the expert, and the addict in part and the addict in part. These themes imply consumer benefits from economic and esthetic aspects and mixed consumer costs according to consumer's level of informatization. This study concludes that the digital market is morphogenic, flexible, fluid market and therefore, the real features of the digital market are yet to come. More research attention should be highlighted in the impacts of digital market to consumers from various perspectives with various methodologies.

• The Journal of Fisheries Business Administration
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• v.41 no.3
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• pp.59-78
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• 2010

This paper tries to apply the asymmetrical price transmission(APT) behavior observed in the agricultural industry to supply chains of the domestic fishery industry by a statistical manner. The fore mentioned asymmetrical price transmission refers to when price movements in the later stage of the supply chain do not move in a normal or symmetrical manner corresponding to price movements in the earlier stage of the supply chain. Therefore, when the earlier stage price increase and the later stage price increases to a larger degree, it is called positive(+) asymmetry and the opposite behavior is called negative(-) asymmetry. The study examines the data from domestic producers of three fresh fish types, hairtail, mackerel, and cuttlefish, and tries to examine the price asymmetry between the producer or farm, wholesaler, and retail prices via an APT test utilizing unit root, cointegration, and error correction model. The study found, hairtail wholesale and retail pricing bas a negative asymmetric relationship while mackerel has a negative asymmetric pricing relationship at the producer and retail levels of the supply chain. In the case of cuttlefish, all levels of the supply chain showed negative asymmetrical behavior in the supply chain price transmission, meaning the earlier stage price changes are more rapidly and greatly inputted in the later stage of the supply chain pricing. We believe that the reason why the analysis results show negative price asymmetry is due to the uniqueness of fishery products having an important variable such as freshness. If price increases are greater and quicker than price decreases, then consumer demand, which is sensitive to price increases will decrease and subsequently result in the increase of inventory levels, reducing profits for retailers. Also, frozen hairtail, mackerel, and cuttlefish will act as substitute goods to fresh fishery products. Therefore, fresh fishery products have a high demand of price elasticity. When prices increase, demand quickly decreases. Therefore the profit of wholesalers and retailers to decrease, I think this is the main reason of APT in the supply chain of Korea' s fisheries industry.

• Korean System Dynamics Review
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• v.10 no.3
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• pp.105-124
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• 2009

The situation of the global food markets has been being rapidly restructured and entering on a new phase by new dynamic and driving forces. The factors such as economic growth and income increase, high energy price, globalization, urbanization, and global climate change are transforming patterns of food consumption, production, and markets. The prices and markets of world food and energy are getting increasingly linked each other. Food and fuel are the global dilemma issues associated with the risk of diverting farmland or of consuming cereals for biofuel production in detriment of the cereals supply to the global food markets. An estimated 100 million tons of grain per year are being redirected from food to fuel. Therefore, the objectives of this study are as follows: Firstly, the study examines situations of the world food and energy resources, analyzes the trends of prices of the crude oil and biofuel, and formulates the food-energy links mechanism. Secondly, the study builds a simulation model, based on system dynamics approach, for not only analyzing the global cereals market and energy market but also forecasting the global production, consumption, and stock of those markets by 2030 in the future. The model of this study consists of four sectors, i.e., world population dynamics sector, global food market dynamics sector, global energy market dynamics sector, scenario sector of world economic growth and oil price.

• The Research Journal of the Costume Culture
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• v.19 no.2
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• pp.360-375
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• 2011

The fashion market focuses on consumers and maximizes consumers' satisfaction. The fashion market has been segmented to better satisfy the variety of consumer group. Although market segmentation has been studied, efficiency and effectiveness of market segmentation continuously bring problems. Also, problems of prediction about real consumer behavior, and efficiency and effectiveness of standards are pointed out. The purpose of this study is to determine the most important variables for dividing fashion product buyers. This study was designed as qualitative study and in-depth interview was conducted. The in-depth interview was conducted with five experts in fashion intelligence agency. In-depth interview was completed by an analytic induction and an investigator triangulation. Questions were about characteristics, demographic characteristics, important factors and fashion buying relationship, and interests of current clothing shoppers. The results of qualitative research demonstrated that clothing shoppers, with their valuable consumption and selective buying behaviors, seek differentiated products. They also long for high quality apparel for its price, because of their valuable consumption and price centered tendency. They illustrated active sides, such as enthusiastic information searching and emotional or experiential consumption, rather than attitudinal sides. The variables for dividing fashion product buyers included: "innovative seeking", "symbolic seeking", "personalized seeking", "quality-seeking", "selective seeking", "price-seeking", "utility-seeking", "hedonic seeking", "sensitive seeking", "brand-seeking", "digital seeking", "information-seeking", and "eco-seeking".

• Proceedings of the KIEE Conference
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• 2005.11b
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• pp.162-164
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• 2005

This paper presents an hour-ahead System Marginal Price (SMP) forecasting framework based on a neural network. Recently, the deregulation in power industries has impacted on the power system operational problems. The bidding strategy of market participants in energy market is highly dependent on the short-term price levels. Therefore, short-term SMP forecasting is a very important issue to market participants to maximize their profits. and to market operator who may wish to operate the electricity market in a stable sense. The proposed hybrid neural network is composed of tow parts. First part of this scheme is pattern classification to input data using Kohonen Self-Organizing Map (SOM) and the second part is SMP forecasting using back-propagation neural network that has three layers. This paper compares the forecasting results using classified input data and unclassified input data. The proposed technique is trained, validated and tested with historical date of Korea Power Exchange (KPX) in 2002.

• Journal of Distribution Science
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• v.14 no.6
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• pp.17-26
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• 2016

Purpose - The purpose of this study is to measure the effect on the attributes for store selection and Korean government regulations for large retailers on consumption emotion. Research Design, Data, and Methodology - Using SPSS ver.22, factor analysis & Cronbach's alpha, correlation, and regression test were performed. The total of 287 questionnaires were used for the analysis Result - Familiarity, perceived price, and perceived image have a positive effect on consumption emotion, but perceived quality & service did not. The Consumption emotion had a positive effect on traditional market revisit intentions. Retail regulation preference has a mediate effect between consumption emotion and familiarity & perceived price. Retail regulation preference also has a mediate effect between consumption emotion and traditional market revisit intension. Conclusion - Relationship marketing with sincerity is very important to keep familiarity, perceived price and image. People's consumption trend was changed due to dual career couple and heavy traffic jam in big cities. Therefore, a retail regulation cannot be a right solution for revitalizing traditional markets. So we need to find out an actual situation and design a win-win strategy between large retailers and traditional market.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.183-193
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• 2017

The present study was conducted at a night market in the Ulsan region, with the purpose of analyzing the impact of menu quality at night markets on customers' perceived value and revisit intention. The study surveyed 323 visitors to the night market, and analyzed the results using the SPSS 18.0 statistics program. The results were the following. Firstly, the results of the exploratory factor analysis regarding menu quality at the night market showed 5 main factors, to a statistically valid and reliable degree: hygiene, price, diversity, originality, and taste. Secondly, it was found that menu quality exerts a positive influence on perceived value, with taste having the biggest influence on hedonic value, and price having the biggest influence on utilitarian value. Thirdly, it was found that menu quality further exerts a positive impact on the revisit intention, with price having the greatest influence in this regard. Fourthly, perceived value was found to have a positive influence on the revisit intention, with utilitarian value having a greater effect than hedonic value in this regard.

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.15-37
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• 2006

In this paper, we discuss a data mining approach to detection of stock price manipulation in the Korean stock market. First of all, we review current methods which is being exercised in the Korean stock market as well as in the US stock market. And then we apply data mining techniques to the problem using data from the Korean stock market and discuss the results along with their implications.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.255-273
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• 2023

Purpose - This study examines whether internal control has an effect on stock price informativeness about future earnings. High quality internal control provides continuous assurance for the quality of financial reports, and these future earnings-related information is accurately reflected in the current stock price. Design/methodology/approach - This study collected 12,862 data from 2006 to 2021 in China to make an empirical analysis using the future earnings response coefficient (FERC) and the multiple regression analysis were hired in order to analyze the data. Findings - We find that internal control strengthens the association between current returns and future earnings, indicating that more information about future earnings is reflected in current stock prices. This positive effect exists in both the main board market and the growth enterprise market of China's stock market, especially in the main board market after the implementation of the internal control policy. In addition, we find that the positive effect is weaker for firms that report internal control deficiencies or receives non unqualified internal control audit opinions. The results using earnings persistence yield similar findings, further supporting the results based on the FERC model. Research Implications or Originality - Our tests provide strong evidence that the quality of internal control affects FERC in China stock market.