• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.2
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• pp.190-203
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• 2015

The fashion industry has been rearranged by Global SPA brands (like ZARA and H&M), which are powerful retailers that integrate the value chain ranging from manufacturing to sales. SPA brands can offer good quality of clothing at a reasonable price by cutting the margin between the supply chain. They are also called fast fashions since they make expedited efforts to respond to market trends and consumers. Despite the slow growth of the fashion industry in Korea, as global SPA brands rapidly expand market share, traditional fashion companies have launched several SPA brands such as MIXXO and SPAO (E-LAND), 8SECONDS (CHEIL INDUSTRIES). The few academic studies on this subject are focused on the analysis of secondary data such as news and books. The current research is qualitative and empirical attempts to explore the success factor of SPA brands with analysis of 1:1 in-depth interviews with experts who have worked for global SPAs such as Uniqlo, H&M, and ZARA, based on the grounded theory. The main phenomenon was shown to be that global SPA brands were popular since they offer a variety of products with a large assortment at reasonable and cheap prices in a large scale and multifunctional retail store. Most of them displayed main phenomena that can be realized due to the purchasing cycle of clothing that is shorter with consumers' regarding clothing as consumables. Global SPA brands had three types of marketing strategy: sellable product, sales strategy according to consumer response, and multifunctional stores. Each global SPA brand developed marketing strategies based on core competency and national conditions. The three success factors shorten the consumer decision making process of clothing. This study concludes with implications for practitioners of SPA brands born in Korea.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.5
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• pp.603-614
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• 2004

The purpose of this study was to investigate the criteria of evaluating clothing and web service on internet shopping malls related to consumers' shopping behavior, This study surveyed consumers who have an experience of buying products on the internet shopping mall and the questionnaire and judgment sampling was used. The subjects were 305 men and women living in the metropolitan area. Method of data analysis were factor analysis, t-test, ANOVA, Duncan test and descriptive statistics. The results were as follows: the items buy from the internet were t-shirts, blouses, knits, skirts and pants. The reasons for buying clothing on the internet were good prices, time saving, door-to-door delivery, while the reasons for not buying on the internet were worries about differences between the product shown on the screen and the actual one, quality guarantee, delivery accident and inconvenience in exchange and refund. Among the differences of clothing evaluation criteria according to internet shopping behavior, significant differences were found in the esthetic criteria and the quality performance criteria according to internet using hours, and in the esthetic criteria according to buying experiences. Among the differences of web service evaluation criteria according to internet shopping behavior, the differences among the groups were found in the reliance criteria, the product reference criteria, the order processing criteria and the handling after purchase criteria according to internet using hours. The significant differences were found in the handling after purchase criteria and the promotion$.$policy criteria according to buying experience, and in the promotion$.$policy criteria according to times of purchase.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.361-375
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• 2013

While the mobile application market is growing fast, the revenues of the majority apps are declining. Moreover, paid mobile application prices and purchases have been slow because of intensifying competition. However, the conventional studies focused only on the acceptance factor of mobile applications, so they cannot explain the phenomenon such as acceptance resistance for paid mobile applications. Therefore, our study tries to analyze the factors for the acceptance resistance of users for paid mobile applications. The research model in this paper, which is based on S-O-R model, verified through surveys how social influence and app characteristics affect user perception and how user perception affects to app resistance. The results of our study showed that paid mobile applications happened to be destroyed in front of the chasm because of the perceived loss. Consequently, the results implicate that the developers should lower the initial price and actively react to the negative reviews in order to lower the perceived loss. Moreover, the results verified that a sense of self-efficacy can lower application acceptance resistance by including personal properties to our research model as control variables.

• Transactions of the Korean hydrogen and new energy society
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• v.23 no.4
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• pp.412-419
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• 2012

Increasing demand for natural gas and higher natural gas prices in the recent decades have led many people to pursue unconventional methods of natural gas production. POSCO-Gwangyang synthetic natural gas (SNG) project was launched in 2010. As the market price of natural gas goes up, the increase of its price gets more sensitive due to the high cost of transportation and liquefaction. This project can make the SNG economically viable. In parallel with this project, KEPCO (Korea Electric Power Corporation) joined in launching the SNG Quality Standard Bureau along with KOGAS (Korea Gas Corporation), POSCO and so on. KEPCO Research Institute is in charge of SNG fueled gas turbine combustion test. In this research, several combustion tests were conducted to find out the effect of hydrogen contents in SNG on gas turbine combustion. The hydrogen in synthetic natural gas did not affect on gas turbine combustion characteristics which are turbine inlet temperature including pattern factor and emission performance. However, flame stable region in ${\Phi}$-Air flow rate map was shifted to the lean condition due to autocatalytic effect of hydrogen.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.149-158
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• 2015

The purpose of this paper is to investigate the determinants of new product diffusion. We seek to document and explain systematic features of product diffusion. In this essay, we examine the well-documented empirical regularity that the speed of diffusion has accelerated during the twentieth century. The empirical results show that the main source of acceleration are faster declines in prices. Faster price declines make the product affordable to more consumers within a given period of time. Based on theories of intertemporal price discrimination and learning-by-doing, the association between the speed of adoption and the speed of price decline was explained. Faster price declines are attributed to several product characteristics as well as changes in income distribution. Above all, the introduction of consumer electronic products in more recent years can be regarded as the most important factor in accelerating price declines. Consumer electronic products are technologically different from non-electronic goods, in that semiconductors are important components. As the price of semiconductors has dropped rapidly, the falling production costs can be rapidly incorporated to the price of consumer electronic goods. Furthermore, most of the recently introduced consumer electronic products have network externalities, and many products with network externalities require complementary products. A complementary product becomes more readily or cheaply available as more people have the main product. One major difference between previous studies and this study is that the former focuses only on the factors that operate directly on the speed of adoption, while this study incorporated factors that work through price changes as well as the factors that work directly on the speed of adoption.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.8B
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• pp.736-744
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• 2006

For the handhold devices, minimizing repetitive CPU operations such as multiplications is a major factor for their performances. In this paper, we propose efficient algorithms for finding similar sequences from streaming time-series data such as stock prices, network traffic data, and sensor network data. First, we formally define the problem of similar subsequence matching from streaming time-series data, which is called the stream sequence matching in this paper. Second, based on the window construction mechanism adopted by the previous subsequence matching algorithms, we present an efficient window-based approach that minimizes CPU operations required for stream sequence matching. Third, we propose a notion of window MBR and present two stream sequence matching algorithms based on the notion. Fourth, we formally prove correctness of the proposed algorithms. Finally, through a series of analyses and experiments, we show that our algorithms significantly outperform the naive algorithm. We believe that our window-based algorithms are excellent choices for embedded stream sequence matching in handhold devices.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.71-80
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• 2019

The purpose of this study is to analyze the effects of brand evidence on brand value, brand trust, brand attitude and word of mouth intention. To achieve the purpose of the study, a research model and hypothesis were established based on previous studies, and survey was conducted on 222 passengers who had used the airline. As a result of the analysis, sub-factors of airline brand evidence had a positive impact on brand value. Except for employee services, perceived prices, core services, brand names, and brand logo had a positive impact on brand value. Brand value had a significant positive effect on brand trust and brand attitude. It was also found that brand trust had a significant influence on brand attitude. This study examined the extended range by adding the brand logo as a sub-factor of brand evidence, and it is considered necessary to study including brand emotion in next study.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.135-144
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• 2019

The importance of logistics of warehouse stores has increased as their prices are cheaper and more convenient than those of large supermarkets. However, few studies on integrated depot location selection of warehouse stores have been conducted. In this regard, this study aims to derive factors for integrated depot location selection and calculate weights and select the location priority of target candidates by introducing an analytic hierarchy process (AHP). The analysis results exhibited that the most important selection factor was the cost reduction in transportation and delivery (0.198) followed by distance reduction in transportation and delivery (0.168), and time reduction in transportation. This study quantified the reduction in cost and increase in efficiency if depots were integrated and operated thereby presenting more realistic foundational data to hands-on workers. For the future study, the analysis model will be needed to be advanced through additional investigation on the factors in the analysis.

• The Research Journal of the Costume Culture
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• v.29 no.1
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• pp.87-102
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• 2021

The purpose of this study is to investigate customer satisfaction factors that affect customer loyalty and revisit intention, and the seven factors which comprise the marketing mix that affects customer satisfaction. loyalty, and intention to revisit. The purpose of the project is to propose a research model by testing the mediated effects of customer satisfaction and loyalty using mainly factor analysis, regression analysis, and mediation analysis. First the results showed that the marketing mix 7P factors influence customer satisfaction were identified as service delivery process, product, physical basis, and promotion. The factors that influence marketing mix 7P customer loyalty were tested in the order of service delivery, physical basis, product, and distribution. Second, the factors that affect customer loyalty were artists, service, and prices whereas the factors that affect customer satisfaction were tested in the order of service, artist, cosmetics, and price. Third, the factors affecting customer revisit intention were newly derived as treatment satisfaction, professionalism, and treatment products. Fourth, the relationship between marketing mix and customer revisit intention suggested that customer satisfaction and customer loyalty has a partial sale effect. It can be suggested on the basis of these findings that the effect of makeup service with marketing mix on customer revisit intention was analyzed and a new model was derived by analyzing the mediated effect of customer satisfaction and customer loyalty.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.127-135
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• 2021

We analyze the information asymmetry in the capital market by examining the long-term performance by the insider's trading behavior in the companies that made investment announcements for the construction of the new office building. The results are summarized as follows. On average, the long-term abnormal returns on share prices of sample firms represent a significant positive value. The regression analysis confirmed that there is a statistically significant positive correlation between the factor of the change in equity of large shareholders and the long-term performance. On the other hand, negative correlation was observed between change in equity of small individual investors and long-term performance. These results mean that an insider can determine the authenticity of a manager's private intention. In other words, it supports that the insider is in a position of information superiority. In addition, it is expected to provide practical usefulness to investors in that the change in equity can be used as a predictor of long-term performance.