• Title/Summary/Keyword: 사후적 시장세분화

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Exploring Navigation Pattern and Site Evaluation Variation in a Community Website by Mixture Model at Segment Level (커뮤니티 사이트 특성과 navigation pattern 연관성의 세분시장별 이질성분석 - 믹스처모델의 구조방정식 적용을 중심으로 -)

  • Kim, So-Young;Kwak, Young-Sik;Nam, Yong-Sik
    • Journal of Global Scholars of Marketing Science
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    • v.13
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    • pp.209-229
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    • 2004
  • Although the site evaluation factors that affect the navigation pattern are well documented, the attempt to explore the difference in the relationship between navigation pattern and site evaluation factors by post hoc segmentation approach has been relatively rare. For this purpose, this study constructs the structure equation model using web-evaluation data and log file of a community site with 300,000 members. And then it applies the structure equation model to each segment. Each segment is identified by mixture model. Mixture model is to unmix the sample, to identify the segments, and to estimate the parameters of the density function underlying the observed data within each segment. The study examines the opportunity to increase GFI, using mixture model which supposes heterogeneous groups in the users, not through specification search by modification index from structure equation model. This study finds out that AGFI increases from 0.819 at total sample to 0.927, 0.930, 0.928, 0.929 for each 4 segments in the case of the community site. The results confirm that segment level approach is more effective than model modification when model is robust in terms of theoretical background. Furthermore, we can identify a heterogeneous navigation pattern and site evaluation variation in the community website at segment level.

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Trends of Market and Regulation on Internet Interconnection Service in Japan (일본의 인터넷 접속서비스 시장 및 규제 동향)

  • Kim, P.R.
    • Electronics and Telecommunications Trends
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    • v.19 no.1 s.85
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    • pp.116-126
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    • 2004
  • 인터넷 접속서비스에 대해서는 사전적 규제를 하지 않는 것이 세계적인 추세였으나, 최근 유럽에서는 인터넷 접속서비스에 대해서 사전적 규제를 가할 수 있는 지침이 채택되었다. EU가 2003년 7월에 채택한 「2003년 프레임워크」는 종래의 수직 통합형 산업구조가 인터넷 기술발전에 따라 물리적인 네트워크, 전송서비스, 콘텐츠로 정보통신산업이 층별로 세분화되어 가고 있다는 사실을 반영한 새로운 규제체계로 평가할 수 있다. 이 규제체계의 방향성은 경쟁이 미진한 분야에는 사전적 규제, 경쟁이 활성화된 분야에는 사후적 규제를 가하는 것이다. 본 고의 목적은 일본의 인터넷 접속서비스에 관한 시장 및 규제 동향을 소개하는 것이다. 여기에서는 먼저 일본의 인터넷 접속서비스 사업자의 현황을 개관한 후, 인터넷 접속서비스에 대한 정부차원에서의 규제동향을 고찰한다. 일본에서는 인터넷 접속서비스에 대하여 사전적 규제를 하지 않고 있다는 점을 감안하여 일본의 대표적 ISP 사업자라 할 수 있는 JPIX와 NTT 동서를 대상으로 인터넷 접속서비스의 사업현황과 이들 기업에 접속하기 위한 접속조건 등을 살펴본다. 맺음말에서는 현재 일본에서 이루어지고 있는 인터넷 접속서비스에 대한 규제동향을 우리나라와의 비교 관점에서 고찰하고 우리나라에의 시사점을 제시하고자 한다.

Assessing Relative Importance of Laver Attributes for Infants Using Conjoint Analysis (컨조인트 분석을 이용한 영유아 김 선택 속성의 상대적 중요도 분석)

  • Lee, Ho-Jin;Lee, Min-A;Park, Hye-Kyung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.6
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    • pp.894-902
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    • 2016
  • The purpose of this study was to analyze the attributes considered as important by parents in the selection of laver for infants through conjoint analysis techniques. A total of 917 questionnaires were distributed in January 2016, of which 211 were completed (23.0%). Statistical data analyses were performed using SPSS/Win 21.0 for descriptive statistics and conjoint analysis. The conjoint design was applied to evaluate the hypothetical laver for infants. According to the analysis of attributes and levels of laver for infants, the relative importance of each attribute was follows: seasoning (26.55%), flavor (19.33%), texture (18.75%), oil (15.15%), size (10.61%), and certification (9.61%). The results of the conjoint analysis indicate that parents raising infants preferred laver with the characteristics of non-seasoning, general flavor, softness, half-size, organic certification, and perilla oil. The most preferred laver for infants gained a 53.7% potential market share from choice simulation compared with laver being sold. Using utility and relative importance, the laver market for infants was classified into two segments. As a result of market segmentation, parents of cluster 1 preferred the laver model being sold (soy seasoning) while parents of cluster 2 preferred the optimized laver model (non-seasoning).

An Empirical Study on the Internet Shopping Malls B2C Users' Lifestyle and Consumer Satisfaction (인터넷쇼핑몰 B2C 거래자의 라이프스타일 유형과 고객만족에 관한 연구)

  • Lee, Eun-Jae;Shim, Wan-Seop
    • International Commerce and Information Review
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    • v.4 no.1
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    • pp.129-147
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    • 2002
  • 본 연구는 인터넷쇼핑몰 B2C 거래자의 라이프스타일과 고객만족의 관계를 알아보려는 의도로 설문지 측정도구를 이용하였으며 선행연구와 실증분석을 시행하였다. 인터넷쇼핑몰 고객만족은 어떠한 인지적인 상황이나 태도에서 나아가 사후 행동과 연관지어 생각한다면 제품에 대한 재구매나 높은 애호도, 호의적인 구매행위 둥의 결정하는 원인으로 나타나기 때문에 인터넷쇼핑몰 관리자에게 B2C 거래의 성공적으로 이끌기 위한 필요한 마케팅정보를 제공할 수 있다. 분석결과 라이프스타일 유형중에서 열광매니아형이 고객만족에 긍정적으로 나타났다. 이러한 결과는 인터넷쇼핑몰에서 구매한 사이버소비자 집단의 구성원의 생활의식과 행동에 어떤 영향을 미치고 그 결과로 라이프스타일과 소비자행동의 관계를 파악해 줌으로써 체계적인 시장세분화에 접근할 수 있는 프레임웍(framework)을 제공해 줄 것이다.

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A Study on Market Expansion Strategy via Two-Stage Customer Pre-segmentation Based on Customer Innovativeness and Value Orientation (고객혁신성과 가치지향성 기반의 2단계 사전 고객세분화를 통한 시장 확산 전략)

  • Heo, Tae-Young;Yoo, Young-Sang;Kim, Young-Myoung
    • Journal of Korea Technology Innovation Society
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    • v.10 no.1
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    • pp.73-97
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    • 2007
  • R&D into future technologies should be conducted in conjunction with technological innovation strategies that are linked to corporate survival within a framework of information and knowledge-based competitiveness. As such, future technology strategies should be ensured through open R&D organizations. The development of future technologies should not be conducted simply on the basis of future forecasts, but should take into account customer needs in advance and reflect them in the development of the future technologies or services. This research aims to select as segmentation variables the customers' attitude towards accepting future telecommunication technologies and their value orientation in their everyday life, as these factors wilt have the greatest effect on the demand for future telecommunication services and thus segment the future telecom service market. Likewise, such research seeks to segment the market from the stage of technology R&D activities and employ the results to formulate technology development strategies. Based on the customer attitude towards accepting new technologies, two groups were induced, and a hierarchical customer segmentation model was provided to conduct secondary segmentation of the two groups on the basis of their respective customer value orientation. A survey was conducted in June 2006 on 800 consumers aged 15 to 69, residing in Seoul and five other major South Korean cities, through one-on-one interviews. The samples were divided into two sub-groups according to their level of acceptance of new technology; a sub-group demonstrating a high level of technology acceptance (39.4%) and another sub-group with a comparatively lower level of technology acceptance (60.6%). These two sub-groups were further divided each into 5 smaller sub-groups (10 total smaller sub-groups) through two rounds of segmentation. The ten sub-groups were then analyzed in their detailed characteristics, including general demographic characteristics, usage patterns in existing telecom services such as mobile service, broadband internet and wireless internet and the status of ownership of a computing or information device and the desire or intention to purchase one. Through these steps, we were able to statistically prove that each of these 10 sub-groups responded to telecom services as independent markets. We found that each segmented group responds as an independent individual market. Through correspondence analysis, the target segmentation groups were positioned in such a way as to facilitate the entry of future telecommunication services into the market, as well as their diffusion and transferability.

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A study of Bayesian inference on auto insurance credibility application (자동차보험 신뢰도 적용에 대한 베이지안 추론 방식 연구)

  • Kim, Myung Joon;Kim, Yeong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.4
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    • pp.689-699
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    • 2013
  • This paper studies the partial credibility application method by assuming the empirical prior or noninformative prior informations in auto insurnace business where intensive rating segmentation is expanded because of premium competition. Expanding of rating factor segmetation brings the increase of pricing cells, as a result, the number of cells for partial credibility application will increase correspondingly. This study is trying to suggest more accurate estimation method by considering the Bayesian framework. By using empirically well-known or noninformative information, inducing the proper posterior distribution and applying the Bayes estimate which is minimizing the error loss into the credibility method, we will show the advantage of Bayesian inference by comparison with current approaches. The comparison is implemented with square root rule which is a widely accepted method in insurance business. The convergence level towarding to the true risk will be compared among various approaches. This study introduces the alternative way of redcuing the error to the auto insurance business fields in need of various methods because of more segmentations.