• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.2
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• pp.1-17
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• 2017

Based on increased popularity and use of social network services as a marketing tool, social commerce became an emerging trend in e-commerce platforms. Social commerce involves sellers offering potential consumers the products and services at a lower price in a limited time period. Through comparison of the performances of domestic social commerce websites, we found that the buying environment such as price, number of available products, and the remaining time period for sale has a significant difference influencing on the purchase decisions of consumers. This study aims to analyze the interaction effects and preference levels of four characteristics (price, discount rate, number of purchases and purchase time) by conducting choice-based conjoint analysis. Survey experiment was performed using a sample of 146 undergraduate and graduate students. The results showed that consumers importantly consider purchase time, discount rate, price, number of purchases in the order of their preference. Also, discount effect is more significant on purchase decisions than price effect and consumers distinguish less the differences among the buying environment characteristics in the closing days of purchase period. Customer segmentation using the preference levels of characteristics indicates that the preference levels have different effects in the purchase utility of each segment. The proposed customer segmentation and differences in feature utilities are expected to be valuable in forming future sales promotion strategies in social commerce.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.292-304
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• 2009

This paper is to identify how merchandise quality, store environment, personnel service, sales promotion, store amenities and supporting service which is considered to store image components influence on satisfaction and loyalty and examine the role of satisfaction in explaining relationships between store image and loyalty. The results of the study are as follows: (1) each components of store image influence on cognitive satisfaction or emotionally based satisfaction or loyalty. (2) merchandise quality and store amenities have influence on cognitive satisfaction and emotionally based satisfaction is affected by personnel service and supporting service, but store environment has directly influence on loyalty. (3) store image components that is concerned with service in the store e.g. personnel service, supporting service build customer loyalty by mediating emotionally based satisfaction. In order to build strong customer loyalty, marketer have to formed through store image components that is much stronger on loyalty.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.63-68
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• 2018

Research on smart farms centering on greenhouse cultivation is actively under way due to the decrease in agriculture population and aging, but in the case of vegetables such as vegetables, outdoor cultivation is 70%. Therefore, there is a need to improve productivity and prevent soil contamination by automating, cultivating, and intelligentizing the outdoor cultivation of agriculture crops. In this paper, we show the case of establishing a outdoor production system using the Internet of things and define the environmental variables in the outdoor production system. By measuring soil temperature, water content, electrical conductivity and acidity through sensors, LoRa communication module transmits the information to the outdoor production system. The outdoor production system controls the amount of fertilizer and the volume of water based on this sensor data. We have developed a system that manages a wide range of crops using LoRa technology, which is a suitable communication method for cultivating crops, and manages production volume and sales performance.

• Korean Journal of Agricultural Science
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• v.14 no.2
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• pp.384-395
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• 1987

This paper aims to identify the class characteristics of tenants. To this end Patnaik's model is selected, because this model is most reasonable for sorting class structures of tenants. In his Model, "labor-exploitation criterion" is the main criterion for identifying class status. According to this criterion, there are five rural classes i.e. landlord, rich peasant, middle peasant, poor peasant, and full-time laborer. "Net labor ratio" is used for this purpose as empirical data handling. Net labor ratio is a ratio of net labor hired in to family labor, if hired in labor is more then this ratio is positive, and if hired out labor is more then the ratio is negative. Hired in and hired out labor includes not only direct labor but indirect labor such as labor employment or sales through rent. The results of this study are summarized as First, almost all tenants and owner cultivators are of the middle peasant class. Second, there are no rich peasant among the tenants, but 5% of owner cultivators are rich peasants, and 10% of tenants are poor peasants, owner cultivators are 1%. Third, the net: labor ratio of tenants is -0.211, and that of owners is 0.143. There are differences between tenants and owner cultivators even if land is much the same, and owner cultivators net labor ratio is positive except in the land size of 0.3-0.5ha, but that of the tenants' is negative. Fourth, proto-labor poor peasants earned 25% of income from labor, compared with under 10% of proto-tenant poor passant's. Rent to income ratio is almost 60% of proto-tenant, 27% of proto-labor among poor peasants.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.477-487
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• 2017

This paper releases strategies for firms that wish to enter into online circulation business in China. SWOT based on a Korean manufacturing company teaches us better way to approach Chinese online market. Chinese online market is under oligopoly, where Alibaba and Jingdong account for about 80% of the total market. Game theory is used as a measure of threat and opportunity between Korean manufacturer and Chinese online market retailer. Game shows that they are easy to accept opportunity and sales uplift rather than low risk. Analysis shows that Korean companies should improve its products and brand competitiveness in the offline market before entering into the Chinese online retail market. They need to prepare a localization model.

• Journal of Science of Art and Design
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• v.8
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• pp.129-159
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• 2005

Web sites have become one of most important factor for sales products as well as advertising communications in these days. So numerous web sites have been developed for corporations and brands. It is not easy to getting more attention as a prominent web site expression among various types of numerous web sites. Due to the voluminous expansion of visual communications and the change of the media. new advertising creative must be needed for serving to differentiate the message, inviting audiences to participate more positively in Web site communications. This thesis aims at reviewing images and semiotics for analyzing web sites. And this thesis is about the significations of web sites for some of supreme brands. Chapter I describes the aim of this thesis about the signification of web sites, especially concentrate on the intro-pages of worldwide supreme brands. such as Chanel, Louis Vuitton, Yves Saint Laurent, Prada, and Burberry. And Chapter II introduces the general concept of Image and Semiotics. Chapter III deals with the signification of the web sites with introducing semiotic methods such as the theory of R. Barthes. Chapter IV discusses the signification of Images of web sites as an advertising creative talking into consideration of semiotic theories. And this thesis analyze almost all visual images and verbal message by the theory of R. Barthes. In this matrix, a. particular image of web site can be analyzed into its basic structure of pictorial and word elements , i. e., into the representations the viewer uses and identifies. It's my belief that one of aesthetic engineering approaches such as Semantic Differential Method and semiotic approaches such as the Interpretant Matrix for advertising design images provide basic methods which is about defining the process of constructing and coding the advertising images as well as analyzing and decoding advertising expressions. So I suggest these kinds of studies on the images of web sites as well as advertising design images.

• Journal of Fashion Business
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• v.6 no.5
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• pp.136-150
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• 2002

In this study, we proposed a method to be standing customers as the supporting system for the improvement of fashion garment industry which was the marginal growth getting into full maturity of market. As for the customer creation method of Fashion garment company is developing a marketing program to be standing customer as customer scoring to estimate a existing customer‘s buying power, and figure out minimum fixed sales of company to use a future purchasing predict. This study was a result of data from total sixty thousands data to be created for the 11 months from september. 2000 to July. 2001. The data is part of which the company leading the Korean fashion garment industry has a lot of a customer purchasing history data. But this study used only 48,845 refined purchased data to discriminate from sixty thousands data and 21,496 customer case with the exception of overlapping purchased data among of those. The software used to handle sixty thousands data was SAS e-miner. As the analysis process is put in to operation the analysis of the purchasing customer’s profile firstly, and the second come into basket analysis to consider the buying associations for Association goods, the third estimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree, Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3 independent variables, 2 coefficients. The 3 independent variables are total purchasing amount, purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients are royal and normal for customer segmentation. The result was that this model use a logit regression analysis was valid as the method to be estimate the customer loyalty.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.1 s.149
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• pp.1-11
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• 2006

The purpose of this study was to analyze the current CRM situation in Korean apparel industry. Specifically, research purposes were 1) to examine the concepts and benefits of CRM, 2) to examine CRM strategies, 3) to analyze CRM system(i.e., customer relationship management service, customer segmentation criteria, DB management system), and 4) to analyze the potential problems and CRM adoption plan. The subjects for this research were thirty CRM managers in Korean apparel firms classified by the company type(woman's wear, man's wear, casual wear, children's wear, retailer) interviewed from December 2003 to March 1004. The results of this study were as follows: First, the concept of CRM represented the prime customer relationship, continuous consideration, and customer management system. The benefits of CRM reflected re-sales, improvement of profit share, and acquisition of customer's data base. Second, concerning the CRM strategies, most companies focused on persistent customer management through mileage program, membership cards and also implemented product strategies such as demand forecasting, customization based on customer data analysis. We also found that industry preferred to use pricing strategies, for example, segmentation of customer through discrepancies of price in which customers are provided by discount and gift voucher services. Regarding distribution strategy, channel diversification, localized service, and convenient delivery system were used. As promotion strategies, they chose celebrating customers' personal events and promoting cultural events and issuing coupons. Third, regarding CRM system, information service was the most frequently adopted, important and highly beneficial category. Also POS/web-POS, homepage were main sources of information. RFM is the mostly commonly used customer segmentation criteria. Fourth, potential problems in CRM adoption were lack of CRM knowledge and performance measurement of CRM. Future CRM adoption plan included CRM education and development of CRM performance measures.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.1
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• pp.45-55
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• 2018

Recently, because the arrival of the fourth industrial revolution era, many information and telecommunication services have grown rapidly in the mobile business market. So, companies are based Mobile Apps on user customized services and expanding their services. From the standpoint of the business, to generate revenue, the company needs to maintain the existing current computer environment and develop Mobile Apps to offer convenience in various areas such as finance, admiration, e-commerce and sales support. However, as the number of users increase due to expansion of various Mobile services, security threats that are related to Mobile Apps are increasing and its damage is also increasing. Due to the rapid technological transformation of Mobile devices using the Internet, the level of security threats to Smartphones are rising and getting more advance, so this thesis is structured as follows. In Chapter 2, it will look at the overall trends of Mobile Apps as related research. In Chapter 3, it will discuss various security concerns that related to the latest Mobile Apps and learn about the threatening factors. In Chapter 4, it will compare and analyze the threatening factors. Then it will find and suggest the possible plan. In Chapter 5, it will end with conclusion. Finally, to protect mobile devices from security threats, the environment of operating system which manages the resources and data of Apps needs to be protected. Also, it is important that users to have awareness and check activation FinTech technology security in the process of simple payment with fingerprint or IC card.

• Korean System Dynamics Review
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• v.14 no.3
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• pp.25-49
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• 2013

As global competition for green car, that is environmentally friendly car, is getting tougher, the governments and the related industries are putting their core efforts in its diffusion. However, the green car sales are disappointing so far. To overcome the gridlock, it is necessary to develop concrete analytical framework to understand the diffusion process. Based on causal loop analysis from the previous work, we have identified main variables and relationships of them in the diffusion process and developed a stock-flow diagram and mathematical formula for the main components. The model would be applied for further quantitative simulation on the diffusion process of green car and other innovative goods as well. Also, we have suggested constructive insights for the policy makers and for the related industries. First, it is important to increase consumers' willingness to consider through marketing and word of mouth to accelerate the diffusion process. Second, in the perspective of the industry, the market share of green car should be increased at the earliest possible stage and this could be done by enhancing each components of green car attractiveness(e.g. price, driving range, social infra). Third, companies should develop a balanced investment between consumer and technology sector through a flexible financial policy. Fourth, the government continuously has the role of investing in the related R&D and social infra building. We expect the green car diffusion model and related formula from the research can provide meaningful tools to analyze the diffusion process of other new and innovative goods based on its deep researched literature review.