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- 저자 : 李洪周(Lee Hong Joo) (검색결과 116 건)
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인공지능 속성에 대한 고객 태도 변화: AI 스피커 고객 리뷰 분석을 통한 탐색적 연구
이홍주,Lee, Hong Joo 한국지식경영학회 2019 지식경영연구 Vol.20 No.2
AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.
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도시철도 터널내 콘크리트 도상용 흡음블럭의 최적 배합설계
이홍주,오순택,이동준,Lee, Hong-Joo,Oh, Soon-Taek,Lee, Dong-Jun 한국터널지하공간학회 2016 한국터널지하공간학회논문집 Vol.18 No.1
As spreading of train concrete ballast leads to the increase resounding friction noise, an porous sound absorbing block is applied in urban train tunnel as a counterparts against the friction noise. Three steps of major variables tests for an optimal mix design of the block are conducted to pursue the light weight of the block. Pilot property tests of the block for the cases of the fly-ash only as lightweight aggregates are carried satisfying KRT(Korean Rail Transit) and new KRS(Korean Railway Standards). Based on the results of pilot tests, required structural strength and admixture effects are evaluated. Additionally, typical lightweight aggregates are replaced so that lightweight and strength are improved for serviceability of poor working conditions and proper maintenance in urban train tunnel.
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온라인 키워드 광고 시장에서 광고 단가에 영향을 미치는 요인 분석 : 키워드 유형, 검색 횟수와 경쟁업체의 수를 중심으로
이홍주(Hong Joo Lee) 한국IT서비스학회 2012 한국IT서비스학회지 Vol.11 No.3
Many advertisers utilize sponsored search in search engines since customers want to find relevant information on their purchases from the search engines. Many factors have influences on price per click of the sponsored search. These influences are different based on the types of keywords such as search/experience or prominent/specific. However, differences of the influences have not been studied well. Thus, this study wants to identify the differences of the influences according the type of keywords. One month data of keyword advertising were collected from Naver. The influences of search number, click through rate, and competition on price per click were different according to the keyword types.
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이홍주(Hong Joo Lee) 한국전자거래학회 2011 한국전자거래학회지 Vol.16 No.2
'인터넷? 의 발달과 함께 온라인을 통한 상거래 활동은 급증해 왔다. 전자상거래 초기에 기존의 오프라인 업체들과 온라인 업체들 간의 가격수준 및 편차에 대한 연구들이 많이 이루어졌으나, 전자상거래가 활성화되고 성숙된 지금은 이러한 채널 유형별 비교보다는 전자상거래 업체들의 가격변화 행태에 대한 연구가 필요하다. 이에 따라 본 연구에서는 전자상거래 상에서 제품이 판매되기 시작한 시점부터 시간이 흐름에 따라 가격이 어떻게 변화하는지를 분석하였다. 가격비교 사이트로부터 가격자료를 수집하여 분석에 활용하였다. 이를 통해 시간이 흐를수록 최저가와 평균가격이 하락하는 것을 보였으며, 최고가는 시간이 흐를수록 오히려 상승하는 패턴을 보였다. 최고가의 상승에는 판매업체 수 증가가 양의 영향을, 출시 이후 기간이 음의 영향을 미치는 것을 보였으며 이 두 가지의 영향력에 따라 제품군별로 상이한 상승 패턴을 보였다. 또한, 제품군의 유형별로도 판매업체 수에 따라 상이한 가격변화패턴을 보였다. With the advancement of Internet, electronic commerce has rapidly expanded and considered as a major retail channel. In the early days of the Internet, many studies compared offline and online stores on their price level and dispersion. Since e-commerce is considered matured, we need to see price change behavior in e-commerce rather than comparing it with traditional channels. Thus, this study investigated the trend of price changes in e-commerce. The data that was gathered from a price comparison site also contained six product categories. The decrease in minimum and average price was identified and the increase in maximum price was also identified. The critical factors in the increase of maximum price are number of sellers (positive effect) and the time span after a product was released (negative effect). The differences in price changes between product categories were also investigated.
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클릭스트림 데이터를 활용한 전자상거래에서 상품추천이 고객 행동에 미치는 영향 분석
이홍주(Hong Joo Lee) 한국경영과학회 2008 한국경영과학회지 Vol.33 No.3
Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not. to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships With the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at Which the recommended items were purchased did not differ prior to and after the renovation of the site.
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자전거 활성화 방안 연구를 위한 실증적 참조 프레임워크
이홍주 ( Hong Joo Lee ),장태우 ( Tai Woo Chang ),김현수 ( Hyun Soo Kim ) 한국로지스틱스학회 2011 로지스틱스연구 Vol.19 No.2
Today, many countries and organizations have suggested research methods for reducing CO2 emissions. However, they have not performed sufficient researches on their suggestions, and their results are insufficient. Hence, many organizations have conducted researches on methods to reduce CO2 emissions. As the outcome of these researches, we have demonstrated the potential of new traffic systems using bicycles. Cycling presents many advantages as a short-distance transportation mode in urban areas: it can contribute to relieving congestion in city centers by reducing car trips; it is truly environmentally friendly, providing mobility free of CO2 emissions. However, such bicycles systems are only small improvements and do not adequately consider current scenarios and customer requirements. The system is merely a benchmark of successful cases of some leading organizations. In this paper, we have examined the promotion framework of bicycles on the basis of previous researches.
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