• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.653-654
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• 2022

Recently, technology development using artificial intelligence (AI) is being conducted in various fields. It is being used in many areas, from a personalized recommendation system for general personal taste to the development of application technology that meets a specific purpose. In this study, for adult detection, we propose a method for detecting adults in elementary schools where many elementary school students live. Clothing color, pattern, style, or physical size are used as factors to differentiate between adults and children, and through this, it will be possible to quickly detect adults or unauthorized adults who break into elementary schools and use them in the pre-recognition system.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.111-126
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• 2017

Recommender systems based on association rule mining significantly contribute to seller's sales by reducing consumers' time to search for products that they want. Recommendations based on the frequency of transactions such as orders can effectively screen out the products that are statistically marketable among multiple products. A product with a high possibility of sales, however, can be omitted from the recommendation if it records insufficient number of transactions at the beginning of the sale. Products missing from the associated recommendations may lose the chance of exposure to consumers, which leads to a decline in the number of transactions. In turn, diminished transactions may create a vicious circle of lost opportunity to be recommended. Thus, initial sales are likely to remain stagnant for a certain period of time. Products that are susceptible to fashion or seasonality, such as clothing, may be greatly affected. This study was aimed at expanding association rules to include into the list of recommendations those products whose initial trading frequency of transactions is low despite the possibility of high sales. The particular purpose is to predict the strength of the direct connection of two unconnected items through the properties of the paths located between them. An association between two items revealed in transactions can be interpreted as the interaction between them, which can be expressed as a link in a social network whose nodes are items. The first step calculates the centralities of the nodes in the middle of the paths that indirectly connect the two nodes without direct connection. The next step identifies the number of the paths and the shortest among them. These extracts are used as independent variables in the regression analysis to predict future connection strength between the nodes. The strength of the connection between the two nodes of the model, which is defined by the number of nodes between the two nodes, is measured after a certain period of time. The regression analysis results confirm that the number of paths between the two products, the distance of the shortest path, and the number of neighboring items connected to the products are significantly related to their potential strength. This study used actual order transaction data collected for three months from February to April in 2016 from an online commerce company. To reduce the complexity of analytics as the scale of the network grows, the analysis was performed only on miscellaneous goods. Two consecutively purchased items were chosen from each customer's transactions to obtain a pair of antecedent and consequent, which secures a link needed for constituting a social network. The direction of the link was determined in the order in which the goods were purchased. Except for the last ten days of the data collection period, the social network of associated items was built for the extraction of independent variables. The model predicts the number of links to be connected in the next ten days from the explanatory variables. Of the 5,711 previously unconnected links, 611 were newly connected for the last ten days. Through experiments, the proposed model demonstrated excellent predictions. Of the 571 links that the proposed model predicts, 269 were confirmed to have been connected. This is 4.4 times more than the average of 61, which can be found without any prediction model. This study is expected to be useful regarding industries whose new products launch quickly with short life cycles, since their exposure time is critical. Also, it can be used to detect diseases that are rarely found in the early stages of medical treatment because of the low incidence of outbreaks. Since the complexity of the social networking analysis is sensitive to the number of nodes and links that make up the network, this study was conducted in a particular category of miscellaneous goods. Future research should consider that this condition may limit the opportunity to detect unexpected associations between products belonging to different categories of classification.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.59-69
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• 2019

The present study explored consumer's perception and preference on providing information of fashion products by using QR code and suggested the possibility for consumer-to-consumer and consumer-to-company connection. A survey was conducted on males and females in their 20s-a population among whom the rate of smart phone penetration is higher than in any other age group and who tend to exchange information online. The results showed that consumers are dissatisfied with the amount of information, terms of instructions, and ambiguous washing symbols currently provided. Therefore, the study identified the need for better methods of providing information and found that QR code, which is able to deliver high-quality information on fashion products, can be an efficient alternative. Moreover, respondents felt the need for detailed washing instructions, information on handling, and functionality of material on high-involvement fashion products such as outdoor, padding, suit, and underwear worn next to the skin. They also desire styling tips or purchasing information such as SNS OOTD (Outfit Of The Day) utilizing the product, other products that may go well with the one purchased, and similar products on casual wear and coat used on a daily basis. Therefore, QR code used as a link to information web pages or a social network can help consumers to satisfy information needs and to use the products effectively.

• International Commerce and Information Review
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• v.19 no.4
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• pp.3-28
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• 2017

This study examined factors, such as benefit perception, risk perception, product, and website, which affect consumer attitude toward overseas direct purchase. To achieve this, 298 Korean consumers who have experienced overseas direct purchasing were analyzed. The results show that delivery risk and product risk were the most influential determinants of the level of trust level in overseas direct purchase sites. In addition, the results of this study confirm that the level of trust in overseas direct purchase sites has a strong influence on both the intention to recommend and the intention to continue patronizing the site. Moreover, this study conducted a mean difference analysis according to the types of overseas direct purchases (overseas direct delivery, overseas purchasing agency, and overseas delivery agency) and product categories (clothes, food and beverage products, and household appliances). This study lists various practical implications that can be applied to each overseas direct purchase service by firm and consumer characteristics.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.393-407
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• 2003

공동구매는 ‘가격절감’, ‘위험감소’, ‘거래비용 절감’, ‘참여의식’등의 장점을 가지고 있다. 이러한 장점은 소비자들로 하여금 구매형태에 직ㆍ간접적인 영향을 미치는 것으로 나타났다. 반면 ‘시간지연’, ‘제품다양성 부족’, ‘결제수단’, ‘상품디스플레이’등의 단점을 가지고 있다. 이러한 단점들 역시 소비자들로 하여금 구매형태에 직ㆍ간접적인 영향을 미치는 것으로 나타났으나 반면 한번 거래를 하게 되면 계속해서 거래를 한다는 의견과 앞으로도 거래를 할 생각을 가지고 있으며 주변의 다른 이들에게도 추천하겠다는 생각을 가지고 있었다. 장ㆍ단점과 관련하여 공동구매를 ‘재수용 하는가’와 ‘주변사람들에게 권유할 것인가’를 연구하였다. 본 연구의 목적은 공동구매 특성이 공동구매를 수용함에 있어서 지속적인 수용을 할 것인가와 더불어 주변의 사람들에게 권장을 하는가를 파악하는데 있다. 본 연구에 대한 자료 수집방법은 D대학교의 재학생들을 대상으로 총 100부를 설문 조사하였으며, 수집된 설문지 중에서 불성실하게 응답한 설문지 8부를 제외한 총 92부를 유효한 설문으로 확보하였다. SPSS_WIN 10.0 패키지를 이용하였으며, 대상을 통하여 제품별(종류별) 선호도와 구매시(저가격, 안전성, 배송, 시간절감, 결제편리, 기타) 우선순위를 빈도분석 하였다. 또한 요인분석통한 타당도와 신뢰도 분석하고, 연구변수로 선정한 각 요소들을 이용하여 공동구매의 특성(가격대비 성능, 편리성, 결제안전, 다양한 제품 제공)에 따라 공동구매 재수용도와 주변사람 들에게 권유할 것인가에 영향력 정도를 파악하기 위해 회귀분석을 실시하였다. 조사결과 제품 선호도의 측면에서는 서적&음반, 의류&신발, 컴퓨터&주변기기 가장 선호하는 품목으로서 전자상거래와 거의 흡사하게 나타났으며, 구매시 가장 중요하게 느끼는 요소는 저렴한 가격과 안전&안정성으로 나타났다. 또한, 공동구매 특성에 대한 요인분석 결과로는 하나의 독립요인으로 존재하지만 결재안전, 다양한 제품제공의 요인들이 편리성 요인의 하부요인으로 존재하는 것으로 나타났다. 공동구매 특성이 재수용과 주변사람 권유에 대한 결과로는 재수용적인 측면에서는 ‘가격대비 성능’과 ‘다양한 제품 제공’이 유의한 영향을 미칠 것으로 나타났으며, 주변사람 권유적인 측면에서는 ‘가격대비 성능’이 유의한 영향을 미칠 것으로 나타났고 재수용성과 다르게 ‘다양한 제품 제공’측면에서는 영향을 미치지 않는 것으로 나타났다.

• Journal of the Korean association of regional geographers
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• v.4 no.1
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• pp.57-76
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• 1998

Yanji(延吉) city is the district seat of the Yanbian(延邊) Korean Autonomous District where is located in the Jilin(吉林) Province in China, and also the largest city with a population of three hundred sixty thousand, Since the mid-1980s, the inter-exchange and cooperation between Yanbian District and South Korea has been increased rapidly. That draw many scholars' attention to studying Yanbian District and Korean Chinese as a research theme for area studies. Unfortunately they neglect the study of the commerce and service industry in Yanbian city, which has indicated its rapid growth by the market economic policy of China, and an inter-exchange between Korean Chinese and Korean. The purpose of this study is to provide an information to many Korean potential investors for an investment strategy of the commerce and service industry in Yanji city. In order to do so, this study consists of three major steps. First of all. we analyzed the regional structure and locational characteristics of the commerce and service industry in Yanji City. Secondly, we investigated the characteristics of consumers behavior toward purchasing goods and service facilities. Finally, we supplied the proper businesses and location information for investment to Korean firms according to the results that identified above. In conclusion, we suggest that the proper businesses to invest are department store, retail clothing store, shoes store, cosmetics store, electronics and home appliances store, oversea branch offices of trading companies, Korean-style restaurant, hotel, nightclubs, Korean-style music room(Noraebang), travel agencies, beauty parlors, video rooms, electronic games, and so on. We also suggest that the proper locational areas to invest those businesses are the core area of the commerce and service industry in Yanji, where are Xinxing(新興) 3-zone and Jinxue(進學) 2-zone expressed in the Yanji city figure.