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Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data

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  • Shujun Liu
  • Luke Sloan
  • Tarek Al Baghal
  • Matthew Williams
  • Paulo Serôdio
  • Curtis Jessop

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.

Suggested Citation

  • Shujun Liu & Luke Sloan & Tarek Al Baghal & Matthew Williams & Paulo Serôdio & Curtis Jessop, 2024. "Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-15, January.
    • Handle: RePEc:plo:pone00:0297036
    DOI: 10.1371/journal.pone.0297036
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    1. Corinne Autant-Bernard & Sylvie Chalaye & F. Manca & Rosina Moreno & J. Suriñach,, 2010. "Measuring the adoption of innovation. A typology of EU countries based on the innovation survey," Post-Print halshs-00667681, HAL.
    2. Linda Niehm & Keila Tyner & Mack Shelley & Margaret Fitzgerald, 2010. "Technology Adoption in Small Family-Owned Businesses: Accessibility, Perceived Advantage, and Information Technology Literacy," Journal of Family and Economic Issues, Springer, vol. 31(4), pages 498-515, December.
    3. Schwertman, Neil C. & Owens, Margaret Ann & Adnan, Robiah, 2004. "A simple more general boxplot method for identifying outliers," Computational Statistics & Data Analysis, Elsevier, vol. 47(1), pages 165-174, August.
    4. Luke Sloan & Jeffrey Morgan & William Housley & Matthew Williams & Adam Edwards & Pete Burnap & Omer Rana, 2013. "Knowing the Tweeters: Deriving Sociologically Relevant Demographics from Twitter," Sociological Research Online, , vol. 18(3), pages 74-84, August.
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