• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.103-114
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• 2020

On-arrival duty free will prevent Korean outbound passengers from keeping the duty free items they purchased at the departure during their travel. Most Korean tourists have requested the airport authority to install on-arrival duty free since the grand-opening of Incheon int'l airport. Considering the fierce hub airport competition in the North East Asian region, the Korean government's decision to install on-arrival duty free is regarded as a well-timed intervention. The purpose of the research was to analyze sales correlation based on a comparison of sales of both departure and on-arrival duty free and to propose an administrative implication. Compared to business conglomerates running departure duty free, on-arrival duty free operators, who are small or medium companies, have weakness in product composition, marketing, and merchandising capabilities. According to the analysis, outbound passengers, who purchased fashion accessories and leather products at the departure duty free, tended to purchase cosmetics/perfume or liquor on the arrival duty free. Such complementary purchasing behavior of passengers showed there is barely a negative correlation between departure and on-arrival duty free.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.123-146
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• 2017

The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.

• The Journal of Bigdata
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• v.4 no.2
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• pp.141-158
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• 2019

Based on RBV(Resource Based View), IT of SMEs classified into IT resource and capabilities. And We confirmed that capabilities and resources affected each performance. In other words, based on the questionnaire of SMEs and IT professionals, divides capability from the overall IT resource that are possessed by SMEs. Among the four attributes (value, rare, non-substitutability, imperfect imitability) presented by Barney (1991), this study targeted at value and imperfect imitability and investigated how SMEs recognize IT resource and capability. Furthermore, this study tests how IT resource and capability influence corporate performance. The result of this study finds that resources that are needed on "Knowledge-based" are classified into IT capability, otherwise classified into IT resource. Analysis shows that server, DB(database), system administrators, programmers, CIO, BA were capabilities, Desktop PC, PC software, software for salary and accounting management, e-commerce, Homepage, and network inside th enterprise were resources. Secondly, this study reveals that both IT resource and IT capability affected company performance (employee satisfaction, CEO satisfaction). IT is certainly having an impact on corporate performance. In conclusion, resource can be either IT resource or IT capability based on they way of utilization. And both IT resource and IT capability have an influence on corporate performance (employee job satisfaction, CEO satisfaction). Therefore, when considering IT investment, a company can purchase necessary IT resource and actively utilize it to be IT capability, which can have an influence on corporate performance in return.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2009.09a
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• pp.85-85
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• 2009

차는 세계에서 가장 오랜 역사를 가지고 있는 음료로 건강에 대한 관심증가와 함께 음용량이 꾸준히 증가하는 추세이다. 그러나 국내 차 산업은 중국이나 일본 등에 비해 가격 품질경쟁력, 상품개발 면에서 크게 뒤떨어져 있는 실정이며, 향후 차시장도 전면적인 시장개방의 위협에 직면해 있어 차 산업의 발전을 위해서는 경쟁력 있는 수출전략과 함께 국내산업 유지를 위한 전략도 모색해야 한다. 본 연구는 차 소비자의 구매 선택속성을 분석한 것이다. 수도권에 거주하는 20세 이상 남녀 소비자를 대상으로 총 220부의 질문지를 배부하여 최종적으로 189부를 분석하였다. 전체 조사대상자는 여자가 155명(82.0%)이었으며, 연령은 20대가 29명(15.3%), 30대가 52명(27.5%), 40대가 56명(29.6%), 50대 이상은 52명(27.5%)이었다. 교육수준은 대학교졸/재가 91명(48.2%), 으로 가장 많은 비율을 차지했으며, 직업은 회사원/공무원이 59명(31.2%), 주부가 59명(31.2%)으로 가장 많은 비율을 차지했다. 월평균 소득은 200만원~300만원 미만이 57명(30.2%)으로 가장 많은 비율을 차지했다. 조사대상자의 차 소비 특성으로는 잎차와 티백, 가루차를 포함해 연평균 차 구매량이 '1~3통'이라고 응답한 사람이 73명(38.6%)으로 가장 높게 나타났고, '4~6통'이 39명(20.6%), '1통 미만'이 32명(16.9%), '6~10통'은 24명(12.7%), '10통 이상'은 21명(11.1%)으로 나타났다. 차를 마시는 장소는 '사무실이나 학교'가 100명(52.9%)으로 가장 높게 나타났으며, '집'은 83명(43.9%), '녹차전문점이나 찻집'은 6명(3.2%)으로 나타났다. 차를 마시는 상황은 '혼자 마신다'가 72명(38.1%)으로 가장 높게 나타났다. '친구와 만날 때나 사교모임 시'는 68명(36.0%), '가족과 함께 대화 시'는 31명(16.4%), '사업상대를 만날 때'는 18명(9.5%)으로 나타났다. 차를 음용하는 이유는 '편안한 대화를 하는데 도움이 되기 때문'이 65명(34.4%)으로 가장 높게 나타났고, '건강에 좋은 웰빙 음료이기 때문'은 53명(28.0%), '기호음료로서 맛과 향이 좋기 때문'은 42명(22.2%), '정신을 맑게 해주기 때문'은 21명(11.1%), '갈증해소에 좋기 때문'은 8명(4.2%)으로 나타났다. 차 구입 시 정보를 얻는 곳은 '주위사람들'이 77명(40.7%)으로 가장 높았고, '신문이나 잡지, TV 등'은 66명(34.9%), '판매원이나 시음을 통해서'는 33명(17.5%), '인터넷'이 13명(6.9%)으로 나타났다. 차소비자들이 가장 중요하게 여기는 속성은 맛(4.31)이 가장 높게 나타났으며, 그 다음이 향(4.12), 브랜드(3.84), 가격(3.76), 생산지역(3.75), 발효정도(3.72), 색(3.68), 채엽시기(3.69), 포장(3.66), 제조방법(3.56) 순으로 나타났다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.374-383
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• 2020

This study verified the difference in the influence on the value principles held by the consumers while examining the influence of the characteristics of the online shopping mall on the purchase intent by using a TAM2 model. First, the characteristics of online shopping malls were proven to have a positive effect on the perceived ease of use and perceived utility. Second, a look at the effect of the online shopping mall characteristics on the emotional response shows that only the system quality and product quality variables had a positive effect on the emotional response. Third, the perceived ease of use, perceived utility and emotional response of online shopping mall users had a positive effect on their perceived value. Fourth, multi-group analysis was conducted to examine the difference between utilitarian goods and hedonic goods by categorizing what was purchased at online shopping malls. The results showed differences between the groups. This study is attempted to investigate various influencing factors on consumers' intention to revisit online shopping malls. In addition, the author also attempted to understand the behavior of online shopping mall visitors by dealing with more than the technical attributes and emotional aspects of shopping malls.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.377-388
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• 2016

The purposes of this study are; first, to supply useful suggestions for the market segmentation of the Chinese market according to individual psychological variables(self-congruence) of customers. Second, it figures out the relative importance of actual self-congruence and ideal self-congruence. Lastly, it reveals whether there are any differences in the preference of attributes according to the popular cultural involvement. According to the results, actual self-congruence had a positive influence on the contents factor evaluation while ideal self-congruence had positive effect on the human and cultural factors evaluation. Also, the human and cultural factor had a positive influence on the purchase intention, as well as content factor and cultural factor had the influence on the word-of-mouth. In addition, the group of highly interested in the involvement at the popular culture was significantly higher in the evaluation on the human and contents factor than the low group.

• Culinary science and hospitality research
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• v.18 no.4
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• pp.166-182
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• 2012

The purpose of this study is to examine the influence of LOHAS images of Japanese restaurants on customers' menu selection and satisfaction to provide useful information on proposing detailed marketing directions by deriving the importance and satisfaction factors of LOHAS images and to suggest practical and effective measures for using LOHAS images to improve menus at Japanese restaurants. The results of the study are as follows. First, as a result of examining hypothesis 1, "LOHAS images will influence essential factors," it was found that healthy ingredient, family-oriented, eco-friendly, sustainability, and energy-saving factors were influential. With greater family-oriented, sustainability, healthy ingredient, and eco-friendly factors in LOHAS image, interests in essential factors increased. Second, family-oriented, energy-saving, social-oriented, and sustainability factors in LOHAS image had a significantly positive impact on the environmental factors of menu. Third, eco-friendly, sustainability, family-oriented, energy-saving, healthy preparation, and healthy ingredient factors in LOHAS image had a significantly positive impact on customer satisfaction. Fourth, essential factors in the selection attributes of Japanese restaurant menu had a significantly positive impact on customer satisfaction. Fifth, environmental factors in Japanese restaurants had a significantly positive impact on customer satisfaction. The significance and limitation of this study are: first, Japanese restaurants would be able to build a better image with customers by providing menu items that are family-oriented, sustainable, and energy-saving. Second, it would be necessary to study how LOHAS factors influence customers' general purchase decisions and psychological factors.

• Archives of design research
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• v.18 no.3 s.61
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• pp.139-148
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• 2005

Generally, the brand has its life cycle as the product has. This life cycle is classified into the stages; introduction, growth, maturity and decline. Since the brand is little different from that of the product's, we can find some differences when it applies to the brand. The most effective method to perceive the brand to the consumers is advertisement, therefore in the advertisement design, it is important to figure out the current stage in the brand life cycle and use the most ideal design strategy in that stage. This study suggests the concept of the brand life cycle and the most effective strategy in each stages of the advertisement design. In the stage of the brand introduction, we apply the 'What is it? Strategy' which introduces the brand itself. In the stage of the growth, 'How does it Differ from? Strategy' is suggested as the advertisement strategy emphasizing the positioning which shows its differential competitive advantages among brands because in this stage there are many competitive brands in the market. In the stage of the maturity, we focus on the 'What does it Convey of? Strategy' stressing on the delivery of brand's value to consumers as consumers they purchase the brand. Finally in the stage of the decline, 'What does it Stand for? Strategy' is suggested in order to emphasize the generation of brand's symbolical meaning rather than to emphasize it's attributes or benefits. Therefore the advertisement design needs the contingent ideal design strategy according to the stages of brand life cycle and the effective brand management through it.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.222-235
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• 2022

The Government provides a financial assistance to stimulate firm R&D and innovation activities. Previous papers on the impact of public subsidies on firm R&D investments mainly had a focus on an individual policy tool regardless of potential impacts of other policy instruments. This study addresses this gap by examining the effects of policy mix regarding a subsidy and a tax credit. The empirical analyses from fixed effect model using Survey on Technology of SMEs 2015-2017 revealed valuable points. First, policy mix induces more R&D investment of SMEs, which in turn, shows a complementary relationship between two instruments. Second, even if impact of tax credit controlled, subsidy is positively associated with SMEs R&D investment. These findings justify policy mix interventions to promote SME R&D activity. Moreover, grants can be applied as a more useful policy tool for SMEs that are constrained by resources and capabilities.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.