• The Journal of Information Systems
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• v.2
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• pp.127-140
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• 1993

• Journal of the Korean Society of Food Culture
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• v.15 no.4
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• pp.259-268
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• 2000

The purpose of this study was to describe the levels of market goods substitution of housework and find out the determinants on it in the domain of food among married female home-based workers. The data were collected from 169 married female home-based workers in Pusan and Kyungnam province, by self-administered questionnaires. Frequencies, percentiles, Cronbach's alpha, Pearson's correlations, and multiple regression were used to analyze the data. In the convenience foods, frozen foods had the highest substitution level, whereas prepared stew had the lowest. The substitution level of Korean traditional storage foods was the middle. And in dining-out service, the substitution level was mostly high: the level of delivery service was higher than that of dining-out. Compared to the previous research, these results showed that market goods substitution tended to increase, and its level in the domain of food will promote continually over time. The variables affecting the substitution level of convenience food were the number of family members, occupation, the existence of elderly/disabled person in the family, sex-role attitude, and weekly hours at home-based work. The substitution level of Korean traditional storage foods was influenced by sex-role attitude, occupation, education, monthly household income, and the existence of elderly/disabled person in the family. The significant variables affecting the substitution level of dining-out service were weekly hours at home-based work, the number of family members, occupation, monthly household income, education, and sex-role attitude.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.1
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• pp.17-24
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• 2010

This paper aims to clarify the spatial form and functional characteries of traditional market place in Seomjin river. The objects of this study are Gokseong, Gurye, Soonchang, and Okgok market place. The results are as follows. First, the form of the traditional market that it was open focusing on large open space of a village was maintained until now. Second, the spatial form of a market place surrounds market-shop located at the center of a market, and a permanent market-store is located in a line. Spatial element important for constituting a market place is three, market-shop, stall, and the mall of market place, and each spatial element is functioning in linkage. The unit space of market-shop is mainly determined by between pillars, and a store is opened. And the same type of industry adjoins, and market-shop's forms a fixed domain and is distributed. The stall is located with many kinds and forms at street mall, and it is taking charge of the important function of trade.

• The Journal of Information Systems
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• v.30 no.2
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• pp.189-214
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• 2021

Purpose This paper aims to effectively utilize user-generated content (UGC) and analyze the market structure of a relatively new market which lacks rich user review information. Specifically, we propose a domain-specific text mining tool for the domestic craft beer market and visualize the market structure by incorporating how individual beer products are positioned in the perceptual map of consumers. Design/methodology/approach We collect user review information from Naver blogs, and extract words that describe beers. We identify semantic relationships between beer products through text mining, and then depending on these semantic relationships, construct a graph representing the market structure of the domestic craft beer market based on the consumer's perceptual map. Findings First, beer products produced in the same brewery are perceived as very similar to consumers. Second, only two products, 'Heukdang Milky Stout' and 'Gompyo', was noticeably distinguishable from other products. Third, even though 'Gyeongbokgung' is from a different brewery, it is located very close to the products of 'Jeju Beer' brewery such as 'Jeju Baeknokdam Ale' and 'Seongsan Ilchulbong Ale', which suggests the influence of 'landmark series.' We successfully show that our methodology effectively describes the market structure of the craft beer market.

• International Journal of Control, Automation, and Systems
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• v.6 no.5
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• pp.639-650
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• 2008

Electricity price forecasting has become an integral part of power system operation and control. In this paper, a wavelet transform (WT) based neural network (NN) model to forecast price profile in a deregulated electricity market has been presented. The historical price data has been decomposed into wavelet domain constitutive sub series using WT and then combined with the other time domain variables to form the set of input variables for the proposed forecasting model. The behavior of the wavelet domain constitutive series has been studied based on statistical analysis. It has been observed that forecasting accuracy can be improved by the use of WT in a forecasting model. Multi-scale analysis from one to seven levels of decomposition has been performed and the empirical evidence suggests that accuracy improvement is highest at third level of decomposition. Forecasting performance of the proposed model has been compared with (i) a heuristic technique, (ii) a simulation model used by Ontario's Independent Electricity System Operator (IESO), (iii) a Multiple Linear Regression (MLR) model, (iv) NN model, (v) Auto Regressive Integrated Moving Average (ARIMA) model, (vi) Dynamic Regression (DR) model, and (vii) Transfer Function (TF) model. Forecasting results show that the performance of the proposed WT based NN model is satisfactory and it can be used by the participants to respond properly as it predicts price before closing of window for submission of initial bids.

• Proceedings of the Technology Innovation Conference
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• 1998.06a
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• pp.57-90
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• 1998

This study attempts to explore the evolution paths of Korean SMEs'strategies and their technological teaming processes. Several different evolution paths are identified based on a dynamic strategic group analysis of 115 SMEs'strategy in the Korean electronic component industry for the period of 1990-1995. Further, inadept case analyses on technological learning processes in 5 firms are undertaken. Major findings of this study can be summarized as follows : 1) There are three dominant evolution paths in SMEs'strategy. First path indicates the evolution from a subcontractor or petty imitator group(a strategic group with the narrow product/market domain and the low level of accumulated resource/capabilities) into an innovator group(a strategic group with the narrow domain but high level of technological capability) by accumulating technological capabilities. Second, some firms move from a subcontractor group into a generalizer group(a strategic group with broad product/market domain but relatively low level of technological capability) by simply adding product lines. Third path involves firms which evolve from a subcontractor group into a production focus group(a strategic group with high level of production capability) by investing in production capabilities. 2) An in-depth case analysis shows those who succeeded in technological learning are managed by CEOs, who have technological expertise and strategic vision, and have made an effort to establish management practices to support innovation, such employee educational program, performance-based reward system, etc. The successful firms also aggressively pursue diverse external linkages with outside technology sources to learn product and process technologies. Fiendly, this study discusses several implications of the findings for the theoretical development and strategic management of small firms in Korea.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.122-127
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• 2001

This study investigates the effectiveness of time delay neural networks(TDNN) for the time dependent prediction domain. Although it is well-known fact that the back-propagation neural network(BPN) performs well in pattern recognition tasks, the method has some limitations in that it can only learn an input mapping of static (or spatial) patterns that are independent of time of sequences. The preliminary results show that the accuracy of TDNN is higher than the standard BPN with time lag. Our proposed approaches are demonstrated by the stork market prediction domain.

• Journal of Families and Better Life
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• v.17 no.1
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• pp.167-178
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• 1999

The purpose of this study were to 1) classify the domain according to the level f housework sociaklization and 2) illuminate the determinants on it. The subjects of this study were 564 married women living in Seoul. A questionnaire was used as survey method. Frequenciaes percentiles mean and regression were employed for data analysis. major findings were as follows; 1) The domain according to the level of housework socialization were purchases of storage food convemience food dining-out clothes repairing services and laundry wervices 2) Of market goods characteristics quality and time-saving characteristics were influencing variables in the level of storage food purchases. The affecting variables in the level of convenience food purchases dining-out and clothes repairing services purchases was quality of market goods. In the level of laundry services time-saving characteristics was significant.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2459-2472
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• 2022

With the increase in copyright content exports to overseas markets due to the recent globalization of the Korean culture, the added value of the Korean digital content market is increasing at a significant rate. As such, as the size of the copyright market increases, different piracy sites have emerged that generate profits by illegally distributing works without the permission of the copyright holders, resulting in direct and indirect damage to these copyright holders. The existing copyright detection methods used in public institutions for solving this problem are limited, while the piracy sites are ever-changing. Methods are being continuously developed to achieve better detection results. To this end, it is possible to detect the latest infringement site domain by detecting the infringement site domain that is constantly changed through the search engine. This paper proposes an improved piracy site detection method using a search engine to prevent the damage caused by piracy sites.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.12
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• pp.2434-2442
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• 2015

With the arrival of the era of the Internet of Things (IoT), identification of an individual object is gaining significance. Internet address resources such as domain name, IP address, and OID are expected to play the role of an identifier and demand for them is also expected to increase. Accordingly, it becomes important to obtain the Internet address resources. As the Internet address resources market development, Internet address resources at the present time there is a need to gauge whether the potential to develop into industry. For this purpose, we have selected factors affecting the number of country domain name with 18 countries among OECD member countries as research target and carried out a regression analysis.