• 제목/요약/키워드: Internet group buying

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싸이월드 미니홈피 사용자의 자기노출 정도에 따른 패션 의식 및 온라인 의복 구매행동 연구 (A Behavioral Study of Cyworld Mini Homepage Users' Fashion Consciousness and Their Online Clothing Purchase Patterns in Relation to the Level of Self-disclosure)

  • 김연지;김칠순
    • 복식문화연구
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    • 제18권5호
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    • pp.991-1002
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    • 2010
  • Nowadays, personal media is a new tool for communication as digital cameras and mobile phones are developing rapidly. We are concerned over Cyworld users who could have different personal characteristics which will influence on buying patterns in on line shopping behaviors. The purpose of this research was to observe fashion attitudes and purchase behavior of Cyworld mini homepage users, for establishing marketing strategies by understanding consumers. For this study, one line survey was used for 500 male and female subjects who are 20 to 40 years old. Only reliable 441 questionnaires were used for analysis. The SPSS program was used for frequency, K-means cluster, t test, and chi-square test. A total of 441 respondents were clustered on the basis of 8 item self-disclosure scale, using the K-means procedures. The results indicated that respondents were clustered into two segments; 267 respondents(active attitude towards self-disclosure) and 164 ones(not active). We examined fashion attitudes in mini home page and buying behavior by self-disclosed variable. Those who are involved actively in self expression and self-disclosure considered more fashion style and trend. The major motivates of web surfing was finding a good design, and good price. High self-disclosure group tends to search many shopping mall for right design and low self disclosure group tends to search them for the right price. High self-disclosure group tend to shop the fashion products more, while low self disclosure group tend to purchase books more through the internet. We realized that active group in self-disclosure purchased their clothing accidently when they visit Cyworld.

Small Buyers Adoption of Reverse Aggregation Electronic Markets: A Case Study on the Korean Auto Repair Industry

  • Lim, Seong-Bae;Kim, Sung-Kwan;Mitchel, Robert B.;Hong, Soon-Goo
    • 한국정보시스템학회지:정보시스템연구
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    • 제13권2호
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    • pp.155-172
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    • 2004
  • The purpose of this study is to investigate factors which can lead small buyers to participate in a Reverse Aggregation Electronic Market (RAEM). Five factors including search, selection, price, delivery, and Internet literacy were selected as possible factors which are expected to influence small buyers' participation in a RAEM. This paper focused on a RAEM of the Korean automotive industry in which the third party aggregator formed a group of small automobile repair shops (ARS) and amassed buying power for them by building a buyer' oriented electronic market (EM). Survey data were collected from small ARS in South Korea. The results of the empirical analysis indicated that fast delivery and support for Internet illiteracy are potential incentives that could influence buyers' decisions to join a RAEM.

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인터넷 의류구매에서의 관계혜택지각이 관계몰입과 충성도에 미치는 영향 (The Influence of Perceived Relational Benefits on Relational Commitment and Customer Loyalty in Internet Clothing Purchase)

  • 지혜경;김용주;손미영
    • 한국의류학회지
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    • 제32권12호
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    • pp.1927-1938
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    • 2008
  • 소비자와의 장기적 관계 관리가 강조되는 현 시점에서, 소비자들이 인터넷 쇼핑몰에서 의류제품을 구매할 때 지각하는 관계혜택에 초점을 두고, 소비자들의 관계혜택지각이 쇼핑몰에 대한 관계몰입 및 충성도에 미치는 영향을 규명하고자 하였다. 본 연구를 위해 인터넷 의류구매 경험이 있는 20대 및 30대 남녀 소비자 343명에게 설문조사하였다. 연구결과, 인터넷 의류구매에서의 관계혜택지각은 쇼핑몰에 대한 관계몰입 및 충성도에 유의한 영향을 미쳐, 관계혜택지각이 클수록 쇼핑몰에 대한 관계몰입 및 충성도가 높은 것으로 나타났다. 또한 관계혜택지각 차원에 따라 소비자들을 유형화한 결과, 소비자들은 '사회적 혜택지각 집단', 경제/쇼핑편이성 혜택지각 집단', '쇼핑편이성 혜택지각 집단', '고객화 혜택지각 집단', '정보적 혜택지각 집단', '심리적 혜택지각 집단'으로 구분되었으며, 이들의 쇼핑몰에 대한 관계몰입 및 충성도에도 유의한 차이가 있는 것으로 나타났다. 본 연구는 인터넷 기업이 고객과의 관계를 결속시키고 나아가 쇼핑몰에 대한 충성도를 높이는데 도움을 줄 수 있을 것으로 본다.

유비쿼터스 환경의 발전 단계에 따른 패션 제품 구매행동 연구 -의복쇼핑성향 집단별 구매의사 결정의 차이를 중심으로- (Fashion Product Purchase Behaviors in the Development Stages of Ubiquitous Environment -Focusing on Clothing Shopping Orientation and Consumer Purchase Decision Making-)

  • 정미재
    • 복식
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    • 제56권4호
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    • pp.33-47
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    • 2006
  • In 21 century, the ubiquitous environment is advanced fast through the so-called digital convergence. This research experts what is the next generation of traditional fashion product purchase behaviors. The purpose of this study is to analyze the fashion product purchase decision making in the development stages of ubiquitous environment. The quantitative Investigation was executed for 487 collegians and the data were analyzed with Frequency, percentage, ANOVA, Duncan test and multiple regression by using SPSS win version 10 package. The results of this research were as followed: First, in the 1st stages of ubiquitous developmental environment, using internet pc or mobile phone was analyze the difference between fashion shopping orientation group and purchase restricted factor Second, as a result of the factor analysis of the ubiquitous 2nd stages, four lower dimensions were made: giving information; wearable effect, buying facility; interest from purchase. as a result of ANOVA, there were any differences between fashion shopping orientation group and ubiquitous 2nd stages. Third, in the 3rd stages of ubiquitous developmental environment, there are differences between fashion shopping orientation group and ubiquitous 3rd stages. And the result from regression analysis of the ubiquitous 2nd stages and 3rd stages showed that buying facility factor in increasing need recognition, wearable effect factor in fashion information acquisition, giving information factor in have a intention to buy in ubiquitous #3 rendition are most influential.

토픽 분석을 활용한 웹 카테고리별 방문자 관심 이슈 식별 방안 (Identifying the Interests of Web Category Visitors Using Topic Analysis)

  • 최성이;김남규
    • Journal of Information Technology Applications and Management
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    • 제21권4_spc호
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    • pp.415-429
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    • 2014
  • With the advent of smart devices, users are able to connect to each other through the Internet without the constraints of time and space. Because the Internet has become increasingly important to users in their everyday lives, reliance on it has grown. As a result, the number of web sites constantly increases and the competition between these sites becomes more intense. Even those sites that operate successfully struggle to establish new strategies for customer retention and customer development in order to survive. Many companies use various customer information in order to establish marketing strategies based on customer group segmentation A method commonly used to determine the customer groups of individual sites is to infer customer characteristics based on the customers' demographic information. However, such information cannot sufficiently represent the real characteristics of customers. For example, users who have similar demographic characteristics could nonetheless have different interests and, therefore, different buying needs. Hence, in this study, customers' interests are first identified through an analysis of their Internet news inquiry records. This information is then integrated in order to identify each web category. The study then analyzes the possibilities for the practical use of the proposed methodology through its application to actual Internet news inquiry records and web site browsing histories.

인터넷 쇼핑에 의한 상품판매의 지역적 특성 - G eshop의 경우 - (Regional Characteristics of Commodity Sales by Internet Shopping : A Case Study of G eshop)

  • 김영숙
    • 대한지리학회지
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    • 제38권5호
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    • pp.769-785
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    • 2003
  • 인터넷 쇼핑 판매액의 지역적 분포는 판매액이 많고 다양한 상품군을 구매하는 도시지역과 판매액이 적으며 단순한 의류나 가정주방용품 및 기타 상품군을 구매하는 농촌지역으로 크게 나눌 수 있는데, 이것은 인구규모와 25∼49세의 여성인구, 교육 및 서비스 산업의 지역의 발달정도에 의해 나타난 현상이라 할 수 있다. 이러한 현상은 그 동안 우리나라가 경제발전을 도모하면서 파생된 도ㆍ농간의 인구분포 및 각종 인구구성의 차별화가 그 배경으로, 이것이 인터넷 쇼핑에도 영향을 미쳐 농촌지역 소비자의 제한적 구매행태를 나타나게 하였다.

자동차전문서적 구매의사 결정과정에 관한 탐색적 연구 (An Exploratory Study on the Buying Decision-making Process of Automobile Books)

  • 김길현;하규수
    • 벤처창업연구
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    • 제6권3호
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    • pp.1-18
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    • 2011
  • 본 과학기술 출판 산업은 전반적으로 판매 감소 추세를 보이는 것이 2000년대부터 확연히 하향 곡선을 긋고 있다. 원인은 순수과학이든 기술과학이든 간에 이공계 기피현상, 매스 미디어 발달, 인터넷 접속 빈도수가 잦아짐에 따라 활자 인쇄문화는 쇠퇴일로에 있다. 그럼에도 불구하고 본 연구자는 과학기술 도서 중 자동차분야만큼은 필생의 목적사업으로서 이 연구를 하게 된 근원적 발상에서 출발하였다. 이를 위해 마케팅만이 기업의 생사여탈을 쥐고 있는 만큼 최종 소비자인 자동차 현장인들과 관련 학생 집단에서 전문서적 구매의사 결정시에 미치는 요인들은 무엇일까를 논제로 잡았다. 이것들은 전문출판사의 사활에 커다란 영향을 미칠 것으로 사료되기 때문이다. 본 연구는 이론적 측면에서 본 과학기술도서, 한국과 일본의 과학기술출판 현황 그리고 실제 전문도서 구매자들의 심리와 행동결과를 5단계 리커트 척도법으로 분석하였다. 연구 결과 자동차를 전공하게 된 동기와 비전에서는 '평소에 차를 좋아했기 때문'이며 이 분야가 앞으로 '비전' 있다고 나타났다. 문제인식단계에서는 '반드시 필요할 때'이고 정보탐색단계로는 '광고, 친구, 교수, 인터넷 등'에서 정보를 얻는다는 것이다. 대안평가단계에서도 '발행일자와 제목'을 중시 여기고 구매결정단계로는 '즉시 구매한다' 는 것이다. 또한 개인의 특성인 연령과 근무 경력에 따라 정보탐색이나 대안평가 그리고 구매 후 평가과정 등은 나이가 많을수록 신중한 선택을 한다고 나타났다.

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디지털 컨버전스 세대의 미래경제활동 특성에 관한 연구 (An Exploratory Study on Future Economic Activity of Digital Convergence Generation)

  • 김연정;박기호
    • 한국IT서비스학회지
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    • 제10권4호
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    • pp.33-46
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    • 2011
  • This research focus on the economic activity as consumer and producer traits of future customers in the convergence age. We assess level of convergence for digital devices and services respectively by questionnaire survey and interview for 14 professions. And then, for evaluating convergence level and usage of digital services of each respondents, we conducted the questionnaire survey for 343 samples. Findings of our research hold that the group who showed higher level of convergence tends to use the socialized digital services more. Convergence generation were heavy users in appstore on smart-phone and wireless game and more participating. In digital service area, facebook/cyworld, twitter, UCC, portal, internet community in digital service. Convergence generation are global network communication, buying decision making activity, actively opinion expression, prosumer attitude, dependency on digital device, experience based purchase behavior, enthusiastic information sharing.

전자상거래 시장 유형에 따른 거래협상 문서의 특성 및 구조에 관한 연구 (A Study of Characteristics and Structure of Negotiation Message using Electronic Commerce Market Classification)

  • 홍준석
    • 한국IT서비스학회지
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    • 제4권2호
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    • pp.79-97
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    • 2005
  • With the proliferation of EC, many customers have been participating into online auction or group-buying market over searching internet shopping-malls to purchase goods. To support the customer's convenient transaction, lots of agent systems are developed to facilitate the customer's product brokering, merchant brokering, and negotiation of transaction. However, many of these systems have focused upon supporting transaction at only one type of marketplace. Since these marketplaces have different transaction settlement mechanism, it is necessary to develop the system that utilizes the customer's transaction including the selection of the type of marketplace to buy. Then we classify the kinds of B2C electronic marketplace according to the protocol by which the market operated. The structure of negotiation message is developed using XML schema and RDFS under the characteristics and message example of each marketplace in this research.

Evaluating Conversion Rate from Advertising in Social Media using Big Data Clustering

  • Alyoubi, Khaled H.;Alotaibi, Fahd S.
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.305-316
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    • 2021
  • The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.