• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.71-89
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• 2019

In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

• Information Systems Review
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• v.20 no.2
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• pp.63-85
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• 2018

Emerging hotspot and trendy areas are formed into alleys and blocks with the help of viral effects among social network services (SNS) users called "Golmogleo." These users search for every corner of the alleys to share and promote their own favorite places through SNS. An analysis of hot places is limited if it is only based on macroeconomic indicators such as commercial area data published by national organizations, large-scale visiting facilities, and commuter figures. Careful analyses based on consumers' actual activities are needed. This study develops a "social big data analysis methodology" using Instagram data, which is one of the most popular SNSs suitable to identify recent consumer trends. We build a spatial analysis model using Local Moran's I. Results show that our model identifies new trend zones on the basis of posting data in Instagram, which are not included in the commercial information prepared by national organizations. The proposed analysis methodology enables better identification of the latest trend areas formulated by SNS user activities. It also provides practical information for start-ups, small business owners, and alley merchants for marketing purposes. This analytical methodology can be applied to future studies on social big data analysis.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.177-182
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• 2024

A consumer's decisions are made by affection of product. Affection has types: evaluation, mood, emotion and sensibility that means unconscious changes. Previous researches have clarified weather factors affect to sensibility that means weather factors may have causal effects to consumer's decision making. This research utilize weather information from KMA(Korea Meteorological Administration) and SNS geographical information and text to make weather sensibility model, and clarify the model shows significant change to online shop customer's purchase behavior(purchase frequency) by merging customer's address information and geometric information of the model for apply weather model. As a result, a model utilize daily precipitation, sunshine hours, average ground temperature, and average relative humidity makes significant result to e-commerce purchase behavior frequency.

• Journal of Digital Contents Society
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• v.16 no.3
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• pp.471-482
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• 2015

Recently commercialized network are getting more and more popular, bringing dramatic change to the market. We can predict the future of the E-commerce. The ongoing E-commerce and SNS （Social Networking Services）related E-commerce are increasing greatly both in Korea and China. This research tries to focus on Chinese consumers using E-commerce. The study has four findings. Firstly, the E-commerce consumers consider four factors including price, convenience, products and website, which affect the sellers' integrity. Secondly, E-commerce will affect sellers' integrity. Third, there are 4 factors which affect the sellers' integrity: service, price, products and the information. Fourth, the factors which affect the integrity of sellers are the value, happiness and practical. This study want to give some hints to the E-commerce in the overseas market in China.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.65-68
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• 2013

스마트폰을 이용하여 인터넷 검색, SNS 및 VOD의 이용률이 증가함에 따라 스마트폰에서 제공하는 VOD 및 멀티미디어 서비스에 관심이 높아지고 있다. 특히 사용자의 위치를 기반으로 사용자에게서 유용한 정보를 추론하고 이에 맞은 비디오를 제공하는 위치기반 VOD 서비스에 대한 관심도 역시 상당히 높다. 그러나 사용자들이 도로 또는 거리가 아닌 지하철, 쇼핑몰 등의 건물 내부에 있을 때에는 GPS를 사용할 수 없기 때문에 기존의 위치기반 VOD 시스템은 작동을 하지 못한다. 본 논문은 스마트폰 센서를 이용하여 사용자의 걸음 수와 진행 방향을 판정하고, 이를 바탕으로 사용자의 위치를 판정함으로 옥내위치기반 VOD 서비스가 가능한 스마트폰용 앱을 설계하고 구현한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.165-168
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• 2015

최근 디지털 콘텐츠 및 멀티미디어는 거의 모든 IT 산업에서 중요한 역할을 하고 있으며, 이중에서도 비디오 콘텐츠는 그 동안의 검색, 유통, 관리 등의 수동적인 범위를 넘어 실세계와의 실시간 상호작용을 통한 능동적이며 혁신적인 역할을 수행하고 있다. 실시간 비디오 검색 기술은, 다양한 분야에서 활용이 가능한데, 대표적인 서비스 분야는 ALV(Autonomous Land Vehicle : 무인자동차), SNS 서비스, 오락/스포츠/광고 서비스, 모바일 쇼핑, AR, Surveillance 분야 등 매우 다양하다. 본 논문에서는, 실시간 비디오 검색 기술의 개요와 적용분야 및 사례를 설명하고 실시간 비디오 검색기술을 객관적으로 평가할 수 있는 방법, 절차에 대한 인증서에 대한 규격을 제정하여, 사용자가 표준화된 실시간 비디오 검색 기술의 인증서의 내용을 토대로 자신의 목적에 따라 기술을 선택하여 사용할 수 있도록 하였다.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.73-79
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• 2021

The purpose of this study was to find out how the importance and satisfaction of social commerce selection factors perceived by social commerce users differ, and how social commerce selection factors affect repurchase intention. A survey was conducted for 17 days from September 1st to September 17th, 2021, and 316 copies were used for empirical analysis. As a result of the analysis, the selection factors of social commerce were divided into six factors: safety, convenience, economy, informativity, collectivity, and SNS relevance. IPA results were in the order of convenience in the first quadrant, relevance and informativity in the second quadrant SNS, collectivity in the third quadrant, stability in the fourth quadrant, and economy. In the relationship between social commerce selection factors and repurchase intention, convenience, economy, safety, and information among social commerce selection factors were found to have a significant influence on repurchase intention. As a result of this study, it was confirmed that if existing social commerce was important at an affordable price, convenience is more important for non-face-to-face commerce in the COVID-19 situation. It is considered important to have a system that can continuously identify and preemptively respond to users' shopping trends through IPA.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.91-106
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• 2022

This study targets four Soho fashion shopping malls that are operating successfully in the online fashion market. This study analyzed the entrepreneurship process by dividing it into three stages. The results of the case study are as follows. In the case of Company S, the founder, who had little work experience, started an e-commerce business with a sense of fashion and entrepreneurship. It is a contemporary, casual brand with competitive prices, design power, and diverse product assortment, and the business performance was achieved through data management and analysis and the diversification of distribution channels. In the case of Company B, the founder, who had little work experience, started a manufacturing and e-commerce business by leveraging their SNS network capabilities and entrepreneurial spirit. It is a contemporary fashion brand with product competitiveness of specific items and start-up characteristics, and performance was achieved through the establishment of brand identity and market expansion. Third, Company M and Company C are examples of Soho fashion shopping malls where the founders with more extensive work experience at the time of founding their respective start-ups focused on brand recognition as their core competitiveness. In the case of Company M, the apparel brand was launched with a wealth of experience and design spirit. It is a fashion designer brand that stands out for its sensibility, and the owner has achieved performance through various entrepreneurial activities that broaden the corporate horizon. Company C is a manufacturing and e-commerce brand that was started with design capabilities and an entrepreneurial spirit. It is a luxury fashion brand that focuses on emotional expression, and the outcomes, such as brand recognition and sales, were achieved through active customer management. The results of this study can be used as basic data in education for and research of Soho shopping malls and the prospective founders.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.525-532
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• 2013

Recently. smartphones have been popularized rapidly and now located deep in our daily life, providing a variety of services from banking, SNS (Social Network Service), and entertainment to smart-work mobile office through apps. Such smartphone apps can be easily downloaded from what is known as app store which, however, bears many security issues as software developers can just as easily upload to it. Military apps will be exposed to a myriad of security threats if distributed through internet-basis commercial app store. In order to mitigate such security concerns, this paper suggests a security guidelines for establishing a military-excusive app store and security verification system which prevent the security hazards that can occur during the process of development and distribution of military-use mobile apps.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.51-57
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• 2015

In this paper, we tried to broaden a width of practical use field for applications through combining to existing contents after constructing various contents for companion animals. For this, we designed and developed our new companion animal management system(PET-IN) by adding various contents such as information management, schedule management, health management, QR code, SNS, shopping, map service for companion animals to smartphone applications. By PET-IN accessibility and satisfactory level tests, we found out that new synergy effect have appeared through combining each contents, and connectivity is increased. So, practical use field is broaden. These tests show us that comprehensive content composition is necessary for companion animal applications, and this study can be used as important data when new companion animal application contents are constructed in the future.