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Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data.
Liu, Shujun; Sloan, Luke; Al Baghal, Tarek; Williams, Matthew; Serôdio, Paulo; Jessop, Curtis.
Afiliação
  • Liu S; School of Social Sciences, Cardiff University, Cardiff, The United Kingdom.
  • Sloan L; School of Social Sciences, Cardiff University, Cardiff, The United Kingdom.
  • Al Baghal T; Institute of Social and Economic Research, University of Essex, Colchester, The United Kingdom.
  • Williams M; School of Social Sciences, Cardiff University, Cardiff, The United Kingdom.
  • Serôdio P; Institute of Social and Economic Research, University of Essex, Colchester, The United Kingdom.
  • Jessop C; National Centre for Social Research, London, The United Kingdom.
PLoS One ; 19(1): e0297036, 2024.
Article em En | MEDLINE | ID: mdl-38271381
ABSTRACT
Previous studies mainly focused on individual-level factors that influence the adoption and usage of mobile technology and social networking sites, with little emphasis paid to the influences of household situations. Using multilevel modelling approach, this study merges household- (n1 = 1,455) and individual-level (n2 = 2,570) data in the U.K. context to investigate (a) whether a household economic capital (HEC) can affect its members' Twitter adoption, (b) whether the influences are mediated by the member's activity variety and self-reported efficacy with mobile technology, and (c) whether the members' traits, including educational level, gross income and residential area, moderate the relationship between HEC and Twitter adoption. Significant direct and indirect associations were discovered between HEC and its members' Twitter adoption. The educational level and gross income of household members moderated the influence of HEC on individuals' Twitter adoption.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos