• Title/Summary/Keyword: 미디어 서비스 레퍼토리

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Determinants of Media Repertoires based on New Services and Technologies (신규 미디어 서비스/기기 레퍼토리 구조 결정 요인)

  • Chon, Bum-Soo;Park, Joo-Yeun
    • Korean journal of communication and information
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    • v.49
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    • pp.20-38
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    • 2010
  • This paper was attempting to identify determinants of media repertoires based on new services and technologies. Using the regression and discriminant models, this study examined determinants that included five independent factors such as the degree of innovation, social networks, social influences, demographic variables and media uses. The analyses revealed that all of independent variables except the degree of innovation were significant determinants of media repertoires. Secondly, the results of discriminant analyses showed that terrestrial television use, age, disposable income were significant factors discriminating new media service adopters from the sample. For new media related technologies adopters, family income, and media uses such as newspaper, Internet and radio were significant discriminant variables.

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Mobile App Analytics using Media Repertoire Approach (미디어 레퍼토리를 이용한 스마트폰 애플리케이션 이용 패턴 유형 분석)

  • Kwon, Sung Eun;Jang, Shu In;Hwangbo, Hyunwoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.133-154
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    • 2021
  • Today smart phone is the most common media with a vehicle called 'application'. In order to understand how media users select applications and build their repertoire, this study conducted two-step approach using big data from smart phone log for 4 weeks in November 2019, and finally classified 8 media repertoire groups. Each of the eight media repertoire groups showed differences in time spent of mobile application category compared to other groups, and also showed differences between groups in demographic distribution. In addition to the academic contribution of identifying the mobile application repertoire with large scale behavioral data, this study also has significance in proposing a two-step approach that overcomes 'outlier issue' in behavioral data by extracting prototype vectors using SOM (Sefl-Organized Map) and applying it to k-means clustering for optimization of the classification. The study is also meaningful in that it categorizes customers using e-commerce services, identifies customer structure based on behavioral data, and provides practical guides to e-commerce communities that execute appropriate services or marketing decisions for each customer group.

The Relationships among Consumer Lifestyle, Media Usage, and Adoption of Nscreen Service (소비자의 라이프스타일 및 미디어 이용과 N스크린 서비스 수용 간의 관계)

  • Park, Hyun Jung
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.143-153
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    • 2014
  • The purpose of this study is to investigate the effect of factors related to consumer lifestyle and media usage on the adoption of Nscreen service, which is fundamentally changing both the competitive landscape for business and the daily lives of consumers. The data of 8,524 consumers used in this study were drawn from the first Korea Media Panel Study in 2012 of Korea Information Society Development Institute and the characteristics of adopters and non-adopters were compared. The study also aims to explore the usage pattern of Nscreen as well as antecedent variables that affect the innovative service usage. Logistic regression analysis shows various factors affects the acceptance of this innovation. This is only a first step in the important process of understanding the nature of relationship between consumer lifestyle and the adoption of Nscreen service. Gaining a comprehensive understanding of the drivers of Nscreen usage will help engineers and marketers to develop effective strategies that meet consumer needs for innovative services.