• The Journal of Bigdata
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• v.9 no.1
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• pp.49-60
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• 2024

This study aims to provide insights for developing innovative products, based on reviews from females aged 30 to 70 who bought cosmetic cushions via TV home shopping. Analyzing 200,000 reviews with Selenium and NLP techniques, we found the main audience is in their 50s and 60s, prioritizing radiance, blemish and wrinkle coverage, and adherence. Notably, products with appealing designs were preferred, especially for gifting among relatives and friends. The proposed innovation is Korea's first AI-recommended cushion, utilizing NLP to match customer needs. Key ingredient recommendations include S.Acamella extract and AHA components, chosen for their perceived benefits and consumer preference. The research also highlights the importance of product aesthetics and gift potential, suggesting marketing strategies should emphasize these aspects to appeal to the target demographic. This approach aims to guide product development and marketing towards meeting consumer expectations in the cosmetic cushion industry, making products more personalized and gift-worthy.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.251-262
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• 2015

This study checks the conceptual definition of domestic book curation which is still in the beginning stage, the necessity of developing service and business, domestic and overseas case of relevant service. Further, the problem of book recommendation service and the difficulty anticipated in the embodiment of service are investigated together and the business model as new IT service is suggested to supplement them. Specifically, the collection of book information and customer information (interest and purchase pattern) and the procedure of mining the collected information and the process of embodying visualization was presented in the sector of service in the first place. Then, the technical transfer of developed solution and the construction cost and the method to impose commission over contents sales are presented in the sector of business. Diverse social and economic effects are expected to realize by developing and utilizing such services, namely, promoting the distribution of excellent book which were kept in dead storage so far due to lack of marketing support, recommendation readers the proper books which are convenient and necessary.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.143-158
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• 2015

Companies and governments in an era of big data have been tried to create new values with their data resources. Among many data resources, many companies especially pay attention to data which is obtained from Social Network Service (SNS) because it reveals precise opinion of customers and can be used to estimate profiles of them from their social relationships. However, it is not only hard to collect, store, and analyze the data, but system applications are also insufficient. Therefore, this study proposes a S-POS (Social POS) system which consists of three parts; Twitter Side, POS Side and TPAS (Twitter&POS Analysis System). In this system, SNS data and POS data which are collected from Twitter Side and POS Side are stored in Mongo D/B. And it provides several services with POS terminal based on analysis and matching results which are generated from TPAS. Through S-POS system, we expect to efficient and effective store and sales managements of system users. Moreover, they can provide some differentiated services such as cross-selling and personalized recommendation services.

• The Journal of Information Systems
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• v.27 no.3
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• pp.103-121
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• 2018

Purpose As web 2.0 has taken root in the Internet environment, people began to create specific values to produce and disseminate contents on their own. In order to emphasize the personalized media attributes, the concept of self media was derived. In this paradigm shift, self media has emerged that succeeded in commercializing themselves in social media. Taking advantage of the influence of self media will have a tremendous positive impact on management activities such as marketing strategy, brand promotion, customer retention, and profit growth. This study examines the factors affecting the loyalty of self media in Korea and China because the studies in the area of selfmedia is not enough. Design/methodology/approach This study analyzed what factors influenced the loyalty of self-media in terms of Korea-China comparison. The research model was proposed on the basis of previous research papers. Content value, interactivity, ease of access, self-congruity, sympathy, and reputation were used as independent variables. Trust and satisfaction are used as mediating variables, nationality as moderator variables, and loyalty to self-media as a dependent variable. Results As a result, it was found that all independent variables directly influence the loyalty of self-media except interactivity, and interactivity indirectly influence loyalty through trust and satisfaction. There was a moderating effect of nationality between satisfaction and loyalty, but was not a moderating effect between trust and loyalty.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.445-453
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• 2002

Past and current customer behavior is the best predicator of future customer behavior. This paper introduces a procedure on personalized defection detection and prevention for an online game site. The basic idea for our defection detection and prevention is adopted from the observation that potential defectors have a tendency to take a couple of months or weeks to gradually change their behavior (i.e. trim-out their usage volume) before their eventual withdrawal. For this purpose, we suggest a SOM (Self-Organizing Map) based procedure to determine the possible states of customer behavior from past behavior data. Based on this representation of the state of behavior, potential defectors are detected by comparing their monitored trajectories of behavior states with frequent and confident trajectories of past defectors. The key feature of this study includes a defection prevention procedure which recommends the desirable behavior state for the ext period so as to lower the likelihood of defection. The defection prevention procedure can be used to design a marketing campaign on an individual basis because it provides desirable behavior patterns for the next period. The experiments demonstrate that our approach is effective for defection prevention and efficient for defection detection because it predicts potential defectors without deterioration of prediction accuracy compared to that of the MLP (Multi-Layer Perceptron) neural network.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.68-77
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• 2013

'The Third space,' which is the concept that embraces sociological, spatial, and marketing concepts, refers to the place which is other than the home and the workplace and which is a comfortable frequented place where meditation, psychological relaxation, and social needs can be satisfied. 'The Third space' has the characteristics of comfort, openness, interactivity, playfulness, and diversity. In modern times, most of consumption spaces play the role of 'the Third space,' and the typical example is $Caf{\acute{e}}$. $Caf{\acute{e}}$ began from its origin with the characteristics of 'the Third space,' and recently it has become the complex cultural space of urban dwellers. $Caf{\acute{e}}$ as 'the Third space' has the characteristics of a healing space, communication space, personalized space, value-expressive space, culture and consumption space, nomad space. Such characteristics of $Caf{\acute{e}}$ are well represented in the cafes around the regions where 'street culture' has recently been formed. As examined through the examples, $Caf{\acute{e}}$ as 'the Third space' can be more strategically produced by establishing themes through storytelling, giving spatial identity through style creation, diversifying the sequence through complex space organization, and establishing interaction devices through experience elements.

• The Journal of Industrial Distribution & Business
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• v.6 no.4
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• pp.5-16
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• 2015

Purpose - Currently, organizations must have a plan to achieve their future objectives. In this case, an information strategy facilitates greater success when planning for the future in any organization. Research design, data, and methodology - The core objective of the project was to explore the information infrastructure of Walkbase in a discursive manner. We started the project by providing a description of the firm, which facilitates retail outlets using in-store analytical devices. Results - We conclude that the management of Walkbase revised its current information structure to implement a more structured one that might be included in a long-term investment. On such an occasion, management can prioritize the component to develop first. Conclusions - Along with our results, we also described the business, its products, its facilities, and how it can serve different industries. Finally, we left the prioritization decision within the framework's components to top management.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.2
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• pp.75-109
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• 2015

This study proposed to develop a model for user-customizable policy information services, based on an assessment of policy users' demands and a case analysis of customized services. To do this, we analyzed literature related to user customized services, performed case studies, and carried out a survey targeting policy information consumers. In this way, this study suggested that information retrieval and data offerings, reference information services, policy information network services, library marketing services, and personalized service are details which user-customizable policy information services must provide.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.100-105
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• 2005

Recently cosmetic enterprises make rapid progress try to make well-known brands to perceive an image marketing. As the result, the brand's reliability continues to grow, beyond a medium of expression in two-dimensional, but through tridimensional, on brand's image runs strategies. In a strategic point suchlike visual as a shop's image give a stimulus to customers for increase invalue in corporate image and value of commodities. In the strategy of increase in sales, it is on the rise immediate constituent to consumers. Through cosmetic brand shops, cosmetic industries are provide personalized services and cultural facilities, rather than just selling products and to help revitalization of the cosmetic markets, and the pursuit of customer-oriented segmentation strategy to make changes for the better image for the shops. Each cosmetic brand shops' image of segmentation strategy has an effect on individual organizations and designs. As of today in Korea, cosmetic brand shop's designs, start to appear in the late 2000,will try to fine segmentation strategy for strengthen shop's image and research about unique quality of cosmetic brand shops into consumer orientation space, and make the best of significant prepare on the basis of directions for cosmetic brand shop which have ability to function as cultural facilities.

• The Korean Journal of Food & Health Convergence
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• v.10 no.1
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• pp.1-6
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• 2024

Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.