• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제9권9호
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• pp.259-266
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• 2020

본 논문에서는 온라인 고객 리뷰를 활용하여 건강 보조제, 화장품 등 현재의 상태를 개선하기 위해 사용되는 제품을 대상으로 그 효과를 알아보기 위한 제품 효과 분석 기법을 제시하였다. 제안하는 제품 효과 분석 기법은 블로그 포스팅에 존재하는 광고를 자동 제거하고, 효과 분석을 위한 증상, 효과, 증가, 및 감소로 이루어진 단어 사전을 구축하며, 제안하는 알고리즘을 통해 제품의 효과를 측정한다. 제품 효과 분석 기법을 검증하기 위해 정답 레이블이 존재하는 네이버 쇼핑 리뷰 데이터셋을 대상으로 성능평가를 실시하였으며, 전통적인 긍부정 사전과 RNN 모델과 성능을 비교하였다. 실험 결과, 본 논문에서 제안하는 효과 분석 기법이 다른 두가지 방법보다 정확도가 뛰어남을 보여주었다. 또한, 아토피 피부염, 여드름 치료제에 제안하는 기법을 적용하여 소셜 미디어에 나타난 효과적인 치료법을 소개하였다. 본 논문에서 제시한 알고리즘은 블로그를 포함한 여러 매체의 리뷰로부터 제품의 효과를 점수화할 수 있으므로 다양한 제품군과 소셜 미디어에 적용될 수 있을 것으로 보인다.

• 무역상무연구
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• 제25권
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• pp.243-266
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• 2005

Product liability is becoming a real issue to exporters, manufacturers world wide. The purpose of this study is to examine the product liability of Korean exporters, manufacturers, etc. under Product Liability Laws and Regulations of China. For this purpose, firstly we deal with the Product Liability Laws and Regulations of China. Secondly we analyze the case study concerning the Product Liability in China. From the analysis of case study, Korean exporters, manufacturers, etc. are required to pay close attention to the following : the correspondence of English with Chinese in the warning phrases, the possibility of application of strict global standard in case of existence of product liability, the proper treatment of evidence in the process of litigation, the application of strict liability and the shift of responsibility for evidence on to a defendant, the observance of procedures prescribed by the country in design and manufacture of the product, the manufacture of product to come up to country standard in quality, the consideration of diverse expression in the preparation of warning sign, the importance of quality control and inspection system in case of local procurement of parts and raw materials, Finally, this paper contributes to help the Korean Exporters, Manufacturers, etc. to build up the proper countermeasures regarding product liability under the product liability regulations of China.

• 경영과학
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• 제23권1호
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• pp.87-113
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• 2006

This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of the firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on those theories, this paper attempts to identify dynamic relationship between product innovation and process innovation by system dynamics, by investigating the aspect of the dynamic changes of the closed feedback circulation structure in which R&D investments drive technological knowledge accumulation, and such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in the increase of productivity, customer satisfaction, profit generation, and re-investment on R&D from the created profits. This provides the ability to assess the advantages and disadvantages of different technological innovation strategies and commitments, and the opportunity to explore equilibrium point and suggest a generalized technological innovation model under different industry environment parameters and time-strategies.

• 한국의류학회지
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• 제40권6호
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• pp.1010-1024
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• 2016

This study identifies the influence of on/off-line acquaintances' recommendation messages on fashion product attitude and purchase intention on the online purchase of fashion products in two-sided word of mouth situations as well as compares the difference in influence according to bond-base with equidistance. This study was conducted for one month on university students in their 20s who were believed to be active in smartphone use. Out of the collected 174 copies of the questionnaire, 162 copies were used for analysis. The questionnaire was classified into online and offline recommendation messages of an acquaintance. We present two-sided fashion product reviews made similar to the type found in an actual shopping mall web-site. As for analysis, confirmatory factory analysis, structural equation modeling, and multi-group analysis were conducted using AMOS 19.0. The analysis results are as follows. First, on/off-line acquaintances' recommendation messages had significant influences on product attitude in the situation where two-sided reviews on fashion products were presented; however, those messages did not influence purchase intention. Recommendation messages positively increased product attitude and enhanced purchase intention if acquaintances' recommendation messages were mediated between on/off-line acquaintances' recommendation messages and purchase intention. Consequently, a mediating effect on product attitude was revealed. Second, there was no difference between online acquaintances and offline acquaintances in terms of the influence of acquaintances' recommendation messages on product attitude and purchase intention, in the situation where two-sided reviews were presented on online fashion products. Therefore, no control effect according to the type of acquaintance was confirmed.

• 경영정보학연구
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• 제24권4호
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• pp.1-22
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• 2022

코로나19 이후 비대면 소비 사회로의 전환이 일어나며 생활밀착형 라스트마일 물류 서비스인 택배 기반의 세분화된 도시 물류의 중요성이 대두되고 있다. 본 연구는 소셜 네트워크 분석(SNA)을 활용하여 지역 및 상품 특성별로 수요의 관계성을 분석하고자 한다. 전자상거래에서 수요 파악에 활용되었던 장바구니 네트워크와 공동 구매 상품 네트워크를 확장한 분석 결과 택배 주문 건 수 데이터 속에서 상품 카테고리 패턴을 발견하고 지역별 차이를 확인하였다. 이를 바탕으로 본 연구에서 제시하는 SNA 기반 분석이 도시 물류의 재고 분산 배치나 상품(SKU) 선정 전략에 효과적으로 적용될 수 있음이 확인되었다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.502-503
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• 2019

리뷰 데이터 분석을 통해 추천을 하는 기존 시스템에서 사용자의 특성 혹은 상품 구매 취향와 같은 개인의 선호 세부 정보를 반영하지 않는 점을 보완하여 본 논문에서는 사용자가 상품을 검색하고 그 상품을 구매할 때 가장 중요하게 생각하는 기준을 선택하도록 하고, 이를 반영하여 분석함으로써 다양한 사용자에게 맞춤화된 추천 정보를 제공하는 시스템을 제안한다. 이는 사용자가 상품 구매 시 가장 큰 비중을 차지하는 기준을 토대로 가중치를 부여하여 감성분석을 수행하고 그 결과를 반영하여 상품 목록을 제공한다. 따라서, 상품 추천 정보에 사용자 개인의 선호도를 반영하였기 때문에 기존 추천 시스템을 통해 상품을 추천받는 것보다 효율적인 결과를 얻을 수 있을 것으로 사료된다.

• 한국인터넷방송통신학회논문지
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• 제21권2호
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• pp.195-203
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• 2021

최근 IT 분야의 주요 기술인 빅데이터는 다양한 산업 분야로 확장되고 있으며 활용 방안에 대한 연구가 활발하게 진행 중이다. 대부분의 인터넷 산업 분야에서 사용자 리뷰는 이용자가 상품 구매를 결정하는 데 많은 도움을 준다. 그러나 방대한 제품 리뷰에서 긍정, 부정적 의미와 도움이 되는 리뷰를 선별하는 과정은 제품 구매 결정에 있어 많은 시간을 요구한다. 따라서 본 논문에서는 빅데이터 분석 기술인 LDA를 이용해 키워드를 분석 및 종합하여 사용자에게 의미 있는 정보를 제공하는 시스템을 설계하고 구현한다. 문서 토픽 추출을 위해 본 연구에서는 국내 도서 산업을 도메인으로 데이터를 크롤링하고, 빅데이터 분석을 실시한다. 이를 통해 사용자 리뷰의 토픽 및 감정단어를 바탕으로 상품에 대한 종합적인 정보를 제공함으로써 구매자에게 도움을 주고 나아가 리뷰 현황 분석을 통해 상품의 전망 또한 파악할 수 있다.

• 한국안전학회지
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• 제33권6호
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• pp.128-135
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• 2018

Currently, the government selects products that are likely to cause harm to consumers as safety management targets and classifies them into three types: safety certification, safety confirmation, and supplier conformity verification. In addition, the government conducts safety surveys on products in circulation or accident products, and recalls products that are of great concern to consumer risks. In this paper, we have developed RAP (Risk Assessment method based on Probability), which is a probability based product risk assessment method, for the classification of safety management type of product and safety investigation, and have shown an application example. In this process, information is used for the CISS (Consumer Injury Surveillance System) of the Korean Consumer Agency. In addition, we apply the cluster analysis to classify the current supervised children products into three groups. Then, we confirm the effectiveness of RAP by comparing the result of RAP application, cluster analysis result and current safety management classification type. Also, we recognize the need to review the current safety management classification criteria for classifying products into three types.

• 한국IT서비스학회지
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• 제16권2호
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• pp.21-32
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• 2017

This study analyzes the variable consumer characteristics that influence the intention to use online product reviews. In online e-commerce, where purchases take place without consumers seeing the products in person, the product reviews left by other consumers who have already purchased the product are believed to be valuable information. However, when different consumers read the same product review, their responses to it may vary. This study analyzes the characteristics of consumers who utilize product reviews for their purchases. Consumer characteristics are categorized into personal information, personality, purchasing tendency, and experience related to product reviews. These factors are examined to see if they have direct or indirect effects on a consumer's intention to use product reviews when making online purchases. We surveyed a total of 240 consumers who had experience using e-commerce and knew about online product reviews. Once the data was collected, path analysis was conducted using the statistics tool AMOS. The study results reveal that consumers who are female, extroverted, and have higher price sensitivity think that product reviews left by others are useful, and that this "perceived usefulness" has a positive effect on the intention to use product reviews for making online purchasing decisions. In addition, consumers who are agreeable to others, have high brand sensitivity, and who have left numerous reviews themselves demonstrated the tendency to trust reviews left by others more. Thus, we conclude that this "perceived reliability" makes it more likely that a consumer will use product reviews when making online purchasing decisions. Future research can be done to develop this study further by analyzing whether providing online product reviews corresponding to the personal characteristics of consumers enhances the effect of product reviews on online purchasing decisions.

• 통상정보연구
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• 제11권1호
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• pp.139-155
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• 2009

This study investigates empirically the export competitiveness of Korea and Japan in America by calculating 4 indexes such as market share index(MSI), export similarity index(ESI), market comparative adventage index(MCAI) and market share expansion ratio(MSER)-export similarity deepening ratio(ESDR). The empirical finding of this analysis shows that Korea is competitive in the labor-intensive products and Japan in the technology-intensive products. This result also meets the general understandings that Japan is superior to Korea in the export competitiveness such as value added of goods, etc. Therefore, in order to strengthen the export competitiveness of Korea in the US market, it's desirable for our firms and government to improve the quality of product ranges by developing technologies focused on the higher value-added products.