• Title/Summary/Keyword: 상품 특성

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전자상거래와 유통분야의 연구과제

  • 임채운
    • Proceedings of the Korean DIstribution Association Conference
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    • 2000.10a
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    • pp.109-118
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    • 2000
  • \circled1 사례 중심의 연구 (case study) - 개별적 실무 사례의 개요 및 특성 설명 - 성공/실패 사례 (종합) 비교 \circled2 기술적 연구 (descriptive study) - 전자상거래의 도입 및 확산 현황과 추세의 정리 - 전자상거래의 본질과 특성에 대한 이해 - 업종/상품/시장별 영향 및 적용시사점 도출 \circled3 기존 연구의 모사 (replication study) - 기존 연구의 단순한 적용 (중략)

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의사결정나무와 대응분석을 이용한 사이버 쇼핑몰의 연구

  • Go, Bong-Seong;Kim, Yeon-Hyeong
    • 한국데이터정보과학회:학술대회논문집
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    • 2001.10a
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    • pp.12-12
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    • 2001
  • 정보기술을 바탕으로 전자상거래의 규모는 빠르게 늘어가고 있다. 본 연구에서는 종합쇼핑몰의 성격을 띠는 사이버 쇼핑몰의 고객과 구매 고객의 특성 등을 살펴보고 의사결정나무를 이용한 이탈고객의 분류, 쇼핑몰에 등록된 상품군과 인구특성적인 변수들간의 대응분석을 실시하여 쇼핑몰에 대한 인식을 제고한다.

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Extension Method of Association Rules Using Social Network Analysis (사회연결망 분석을 활용한 연관규칙 확장기법)

  • Lee, Dongwon
    • 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.

Chemical Properties on the Quality of Marketed Roasting Green teas (시판 덖음녹차의 품질에 따른 이화학적 특성)

  • 신미경;장미경;서은숙
    • Korean journal of food and cookery science
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    • v.11 no.4
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    • pp.356-361
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    • 1995
  • This study was conducted to know the quality of marketed green teas which were devided into high, middle and low grade according to the price. we examined the content of water, ash, total nitrogen, tannin, caffeine, chlorophyll and color value and did sensory evaluation. The results were as follows: 1) The content of water was 2.17-3.67% and content of ash was 4.50-5.17%, there were no significant difference in each grade. 2) The content of total nitrogen was 4.38% in high grade, 4.60% in middle grade and 4.68% in low grade. 3) The content of tannin was 11.09% in high grade, 14.22% in middle grade and 14.44% in low grade, middle and low grade were significantly higher than high grade. 4) The nitrogen rate to tannin (N/T) was 39.5% in high grade, 32.6% in middle grade and 32.70% in low grade, N/T rate of high grade was significantly highest than others. 5) The content of caffeine is 1.78% in high grade, 1.32% in middle grade and 0.92% in low grade, high and middle grade were significantly higher than low grade. 6) The content of total chlorophyll is 297.37 mg% in high grade, 192.89 mg% in middle grade and 204.79 mg% in low grade, chlorophyll a was 69.23 mg% in high grade, 51.99 mg% in middle grade and 63.42 mg% in low grade, and chlorophyll b was 228.47 mg% in high grade, 131.21 mg% in middle grade and 141.63 mg% in low grade. 7) Yellow value of high and middle grade were significantly higher than low grade, but blue and red value were no significant diffrence in groups. 8) In sensory evaluation, appearance, taste, odor of high grade were better than others and total score was 15.25 in high grade, 12.97 in middle grade and 9.80 in low grade. 9) Price had a positive correlation with caffeine, appearance and taste, but a negative correlation with tannine. NT rate had a negative correlation with tannine, but a positive correlation with caffeine.

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이달의 제품 모음

  • Korean Bakers Association
    • 베이커리
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    • no.1 s.330
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    • pp.133-138
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    • 1996
  • 본 지는 이번호부터 세미나 지상중계, 기획연재, 우리 집 인기제품, 기획 상품 등 제품만을 한데 모아 엮었다. 새롭게 마련한 '책속의 책'은 그 달의 제품을 특성에 따라 체계적으로 배열함으로써 제품 정보를 한눈에 접할 수 있을 뿐 아니라 제품 이론 및 제법을 쉽게 이해할 수 있는 지면이다.

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Lycopene : Its Properties and Relationship to Human Health

  • Kim, Seon-A
    • Bulletin of Food Technology
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    • v.20 no.1
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    • pp.24-35
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    • 2007
  • 본고에서는 Kun 등(Food reviews international, 2006, 22: 309-333)의 원고를 바탕으로 리코펜의 구조적 특성, 안정성, 생화학적·면역기작, 질환예방효과 등을 기술하였으며 현재 유통되고 있는 건강보조식품 및 상품을 소개하였다.

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93 한국주택학회 정기 학술발표회

  • 한국주택협회
    • 주택과사람들
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    • no.27 s.44
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    • pp.59-92
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    • 1994
  • 지난 11월 26일(금) 한국주택학회 (회장 : 김정호)는 ''제2회 정기총회 및 학술발표회''를 개최했다. 이중 김정호(한국경제연구원 연구위원)가 발표한 ${\ulcorner}$주택의 상품적 특성과 정부규제${\lrcorner}$에 관한 논문을 게재합니다.

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미국의 주류 표시 규정

  • Kim, Yeong-Chan
    • 주류산업
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    • v.24 no.2
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    • pp.38-50
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    • 2004
  • 상품 표시는 해당제품의 특성을 소비자에게 전달하는 주요한 기능 중의 하나이다. 이를 통해 제품의 품질과 안전성을 파악할 수 있으며 선택의 기준이 되기도 한다. 즉, 표시는 소비자의 알권리를 보장하는 도구이자, 선택의 권리를 부여하는 수단이기도 하다.<중략>

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5A Study on Impact between Customer Satisfaction and Re-purchase Service Quality of Foreign tourism products (해외관광상품의 서비스품질이 고객만족, 재 구매의도에 미치는 영향에 관한 연구)

  • Choi, Seung-Il;Kim, Dong-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.8
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    • pp.2853-2859
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    • 2010
  • Development and promotion of foreign tourism products is an important factor for economical side as well as to improving the foreign relation and the image of nation. Also, foreign tourism products can give a positive effect in activation of the domestic tourism industry and foreigner's domestic visit. Thus, development and promotion of travel industry may offer competitive power of the specification country and a development opportunity, and influence in investment infancy of different industry. Therefore, in this study, service quality of this foreign tourism products analyze effect about customer satisfaction and re-purchase intention, investigated competitive power factors of the tourism industry in the future. In the final study, service quality patten, confidence, attraction could be influenced on customer satisfaction, reliability and responsiveness was not affected by the other factors. This study may suggest guideline that analyze the special character factors of the tourism industry future, or develop the critical success factor of foreign tourism products.