Differential innovation of smartphone and application use by sociodemographics and personality.

In the current study, we explore predictors of smartphone and smartphone application use in a large, diverse, population representative South Korean sample ( N = 9482). Sociodemographics (e.g., gender, age, education, and income) were major predictors of smartphone and smartphone application use. Ge...

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Detalles Bibliográficos
Publicado en:Computers in Human Behavior Vol. 44; pp. 141 - 148
Autores principales: Kim, Yeolib, Briley, Daniel A., Ocepek, Melissa G.
Formato: Artículo
Publicado: Elsevier B.V. Mar2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2015
      vid: 44
      pid: 2410
      pub: Elsevier B.V.
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        100250147
        10.1016/j.chb.2014.11.059
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        atl: Differential innovation of smartphone and application use by sociodemographics and personality.
      aug:
        au:
          Kim, Yeolib
          Briley, Daniel A.
          Ocepek, Melissa G.
        affil:
          School of Information and IC 2 Institute, The University of Texas at Austin, 2815 San Gabriel St., Austin, TX 78705, United States
          Department of Psychology and Population Research Center, The University of Texas at Austin, 11304 Avering LN., Austin, TX 78754, United States
          School of Information, The University of Texas at Austin, 11304 Avering LN., Austin, TX 78754, United States
      su:
        South Korea
        Age distribution
        Personality
        Sex distribution
        World Wide Web
        Electronic commerce
        Socioeconomic factors
        Application software
        Smartphones
      sug:
        subj:
          Age distribution
          Personality
          Sex distribution
          World Wide Web
          Electronic commerce
          Socioeconomic factors
          South Korea
          Custom Computer Programming Services
          Software publishers (except video game publishers)
          Software Publishers
          Internet Publishing and Broadcasting and Web Search Portals
          Electronic shopping and mail-order houses
          Electronic Shopping
          Application software
          Smartphones
      keyword:
        Big Five
        Smartphone applications
        Big Five
        Smartphone applications
      ab: In the current study, we explore predictors of smartphone and smartphone application use in a large, diverse, population representative South Korean sample ( N = 9482). Sociodemographics (e.g., gender, age, education, and income) were major predictors of smartphone and smartphone application use. Generally, younger, educated, and wealthy individuals tended to use smartphones and smartphone applications to a greater extent. Females tended to use smartphones, e-commerce applications, and relational applications more compared to males. Openness, extraversion, and conscientiousness were associated with increased probability of smartphone ownership. Extraversion was associated with decreased literacy application use and increased relational application use. Conscientiousness was associated with decreased e-commerce application use. These results imply that sociodemographics and personality predict smartphone innovation.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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