• The Journal of the Convergence on Culture Technology
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• 제3권1호
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• pp.35-41
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• 2017

Smart phone based IT support programs are faced with difficulties due to the following reasons first, long development period is required as separate developments are necessary respectively depending on the operating system of Smart phone second, it is also difficult to secure high development cost for the outsourcing of the development. It is a big problem for improving app developing productivity. Smart App Factory which is suggested in this thesis is the business strategy to surpass the Android market of Google and App Store of Apple within short period of time based on App productivity of Smart App Authoring Tool and to accomplish the materialization of App market which is in the 1st global position and all potential customers who need programs for their works regardless of budget, scope, complexity and scale will be implemented by unfolding unprecedented low price policy and global online marketing activities for App development.

• Journal of the Korea Convergence Society
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• 제11권3호
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• pp.201-210
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• 2020

The study was conducted to predict usage attitudes and behaviors by combining usage motivation and sensitivity, gender, and age in aviation-related social media. Specifically, the purpose of this study was to examine the effects of social media information acceptance, motivation and sensitivity on gender acceptance by gender and age. To this end, we collected data in an even distribution to prevent gender and age bias among adults aged 20 or older online from April 19 to May 3, 2018. As a result, the lower the female and age in the gender and age had a positive effect on the acceptance of social media information. Motivation for use has a positive effect on information acceptance and sensitivity has a negative effect on information acceptance. Through this, it was found that user class such as gender and age, motivation to use, and sensitivity affect information acceptance. In addition, the negative aspects of the sensitivity factor can be identified, and it is expected to be used as basic data in aviation-related social media marketing strategies.

• Human Ecology Research
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• 제55권2호
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• pp.153-166
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• 2017

This study examined the effects of the cognitive and affective country image of Korea on product evaluation and purchase intention for Korean products. The research model was developed from relevant literature based on the halo effect model and data was collected using a self-administered online survey of 772 Southeast Asian consumers from Vietnam, Indonesia, and Malaysia. The major findings are as follows. First, analysis of variance revealed that Vietnam consumers have a significantly positive perception compared to Indonesia and Malaysia, regarding the affective country image and purchase intention towards Korean products. Second, results from structural equation model showed that the affective country image has significantly positive effects on product evaluation and purchase intention, which means the affective country image is directly and indirectly connected to purchase intention towards Korean products. However, cognitive country image only has an indirect effect on purchase intention. Third, the results of comparing path coefficient among three countries showed that the direct effect is more effective for consumers in Indonesia and Malaysia, whereas indirect effect has a stronger effect on consumers in Vietnam. Academically, this study contributes to an expansion of understanding the effects of country image by empirically proving the different roles of cognitive and affective dimensions for country image. This study provides practical implications for developing marketing communication strategies for businesses that hope to penetrate Southeast Asian countries.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• 제10권2호
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• pp.125-132
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• 2017

O2O service contribute to sales increment by marketing of offline store using online. In particular, O2O business allowed various services by smart-phone due to rapid increase of mobile device use and various services depend on customer's location. This O2O service play major roll in real purchase making of offline store. In smart-phone apps. development for O2O service, recent an Object-oriented Analysis and Design Method, that is, UML is more useful method than Structured Analysis and Design Method. Therefore in this paper, Software analysis and design method which is smart-pone app. for O2O restaurant service is presented. Also it shows that this analysis/design method is very useful for the Restaurant O2O Commercial System production.

• Journal of Intelligence and Information Systems
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• 제16권2호
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• pp.1-17
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• 2010

Association rules among product items by association analysis suggest sales effect among products. These are useful for marketing strategies such as cross-selling and product display etc. However, if we evaluate more practical product values reflecting cross-selling effects, they will be also more useful for the decisions of companies such as product item selection for product assortment and profit maximization etc. This study proposes product value evaluation models with the concept of effective value based on single-item association chain and itemset association chain. In addition to that, we performed experiments with transaction data related to clothing of an online shopping mall in Korea to show the performances of our models. In result, we confirmed that some items increased in effective values compared with their pure values while the others decreased in effective values.

• Proceedings of the Korea Contents Association Conference
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• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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• pp.431-435
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• 2008

Thanks to the development of internet, on-line market expands exponentially and corresponding solid business models are drawn attentions. Most of on-line trading items are limited with selling game related items however, Linden Lab made its turning point by introducing cyber reality game to shape the cyber life with creating his own Avatar in 2003. After 2003, Second life has grown sharply that over 12 million users around the world. While former games are progressed within fixed scenario, the concept of avatars who live his or her own lives at the cyber space that successfully differentiate from former online game. Further, cyber money, Linden Dollar can be used to buy real estate, cloth, shoes just like at real economy system. Not only for using corporate marketing, various areas of activities; promotion of public sector, politics, education are also functioned at the cyber life. In Korea, Korean version of Second life was introduced at the end of 2007 that draws attentions from the users. In this study, I examine various business models of cyber through Second life and suggest feasible culture-contents applying models.

• Journal of Intelligence and Information Systems
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• 제13권4호
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• pp.17-34
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• 2007

Organizations have realized the importance of CRM. To obtain the maximum possible lifetime value from a customer base, it is critical that customer data is analyzed to understand patterns of customer response. As customer databases assume gigantic proportions due to Internet and e-commerce activity, data-mining-based market segmentation becomes crucial for understanding customers. Here we raise a question and some issues of using single SOM approach for clustering while proposing multiple self-organizing maps approach. This methodology exploits additional themes on the attributes that characterize customers in a typical CRM system. Since this additional theme is usually ignored by traditional market segmentation techniques we here suggest careful application of SOM for market segmentation.

• The Research Journal of the Costume Culture
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• 제26권6호
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• pp.1015-1027
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• 2018

In the retail environment where online-shopping malls are growing, offline store are find it difficult to survive simply by selling their products. As a result, offline retailers are trying to find unique services that are appealing to their customers. In such a market environment, marketing strategies that stimulate the five senses other than the sight can be an alternative. Therefore, this research is aimed at observing the effect of the senses on emotion and purchase intention in a fashion retail context. A two by two experimental design (existence vs non-existence of scent x existence vs. nonexistence of eating chocolate) between subjects was used. A total of 120 participants were randomly assigned to the four situations, and they were asked to complete the questionnaires about emotion and purchase intention. The survey data were statistically analyzed using SPSS 23.0, and results are as follows. After a two-way ANOVA, we observed a statistically significant effect of the scent service on pleasure and purchase intention the sweet offering service on purchase intention. Moreover, when scents service and sweet offering service were provided at the same time, the highest purchase intention was obtained among other services. In addition, we studied the effects of emotions on purchase intentions, and the pleasant emotions resulting from the services have a positive effect of on purchase intentions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.79-82
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• 2019

This study aims to design and implement automated SEO tools that has applied the artificial intelligence techniques for search engine optimization (SEO; Search Engine Optimization). Traditional Search Engine Optimization (SEO) on-page optimization show limitations that rely only on knowledge of webpage administrators. Thereby, this paper proposes the metadata generation system. It introduces three approaches for recommending metadata; i) Downloading the metadata which is the top of webpage ii) Generating terms which is high relevance by using bi-directional Long Short Term Memory (LSTM) based on attention; iii) Learning through the Generative Adversarial Network (GAN) to enhance overall performance. It is expected to be useful as an optimizing tool that can be evaluated and improve the online marketing processes.

• Journal of Digital Convergence
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• 제17권11호
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• pp.201-206
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• 2019

While many users searched for insurance information online, there were not many cases of contents recommendation researches on insurance companies' websites. Therefore, this study proposed a page recommendation system with high possibility of preference to users by utilizing page visit history of insurance companies' websites. Data was collected by using client-side storage that occurs when using a web browser. Collaborative filtering was applied to research as a recommendation technique. As a result of experiment, we showed good performance in item-based collaborative (IBCF) based on Jaccard index using binary data which means visit or not. In the future, it will be possible to implement a content recommendation system that matches the marketing strategy when used in a company by studying recommendation technology that weights items.