IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0297036.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297036
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0297036&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0297036?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    5. Tingley, Dustin & Yamamoto, Teppei & Hirose, Kentaro & Keele, Luke & Imai, Kosuke, 2014. "mediation: R Package for Causal Mediation Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i05).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Natalie DeForest & Yuqi Wang & Zhiyi Zhu & Jacqueline S. Dron & Ryan Koesterer & Pradeep Natarajan & Jason Flannick & Tiffany Amariuta & Gina M. Peloso & Amit R. Majithia, 2024. "Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Shengdi Chen & Qingwen Xue & Xiaochen Zhao & Yingying Xing & Jian John Lu, 2021. "Risky Driving Behavior Recognition Based on Vehicle Trajectory," IJERPH, MDPI, vol. 18(23), pages 1-14, November.
    3. Atanasov, Pavel & Witkowski, Jens & Ungar, Lyle & Mellers, Barbara & Tetlock, Philip, 2020. "Small steps to accuracy: Incremental belief updaters are better forecasters," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 19-35.
    4. Roni Blushtein-Livnon & Tal Svoray & Itai Ficshhendler & Havatzelet Yahel & Emir Galilee & Michael Dorman, 2025. "Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities," Papers 2505.22456, arXiv.org, revised Jul 2025.
    5. Shengkui Zhang & Yongbin Wang & Ying Zhu & Xiaoming Li & Yang Song & Juxiang Yuan, 2020. "Rotating Night Shift Work, Exposure to Light at Night, and Glomerular Filtration Rate: Baseline Results from a Chinese Occupational Cohort," IJERPH, MDPI, vol. 17(23), pages 1-14, December.
    6. Antonio R. Linero, 2022. "Simulation‐based estimators of analytically intractable causal effects," Biometrics, The International Biometric Society, vol. 78(3), pages 1001-1017, September.
    7. Shengkui Zhang & Han Wang & Yongbin Wang & Miao Yu & Juxiang Yuan, 2021. "Association of Rotating Night Shift Work with Body Fat Percentage and Fat Mass Index among Female Steelworkers in North China," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
    8. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    9. Vonneilich, Nico & Lüdecke, Daniel & von dem Knesebeck, Olaf, 2020. "Educational inequalities in self-rated health and social relationships – analyses based on the European Social Survey 2002-2016," Social Science & Medicine, Elsevier, vol. 267(C).
    10. Erin Percival Carter & Stephanie Welcomer, 2021. "Designing and Distinguishing Meaningful Artisan Food Experiences," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
    11. Joshua A. Confer & Allison M. Champ & Dorsa Amir & Hanna Schleihauf & Jan M. Engelmann, 2025. "Group membership biases children’s evaluation of evidence," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    12. Karoline Strauss & Julija N. Mell & Frederik Anseel & Annemijn Loermans & David Sluss, 2026. "Complementarity in Future Selves: How Networks of Future-Oriented Cognitive Representations Influence Individuals’ Ability to Proactively and Adaptively Manage Their Career," Organization Science, INFORMS, vol. 37(1), pages 90-112, January.
    13. Sato, Yukihiro & Aida, Jun & Tsuboya, Toru & Shirai, Kokoro & Koyama, Shihoko & Matsuyama, Yusuke & Kondo, Katsunori & Osaka, Ken, 2018. "Generalized and particularized trust for health between urban and rural residents in Japan: A cohort study from the JAGES project," Social Science & Medicine, Elsevier, vol. 202(C), pages 43-53.
    14. Zachary P Neal & Brian Brutzman, 2023. "The role of personality in neighborhood satisfaction," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-17, March.
    15. Nawin Raj & Zahra Gharineiat, 2021. "Evaluation of Multivariate Adaptive Regression Splines and Artificial Neural Network for Prediction of Mean Sea Level Trend around Northern Australian Coastlines," Mathematics, MDPI, vol. 9(21), pages 1-18, October.
    16. Lara Lopez & Fernando L. Vázquez & Ángela J. Torres & Patricia Otero & Vanessa Blanco & Olga Díaz & Mario Páramo, 2020. "Long-Term Effects of a Cognitive Behavioral Conference Call Intervention on Depression in Non-Professional Caregivers," IJERPH, MDPI, vol. 17(22), pages 1-24, November.
    17. Juan Sebastian Olier & Camilla Spadavecchia, 2024. "Migration and emotions in the media: can socioeconomic indicators predict emotions in images associated with immigrants?," Journal of Computational Social Science, Springer, vol. 7(1), pages 963-994, April.
    18. Francesco Sartor & Jonathan P. Moore & Hans-Peter Kubis, 2021. "Plasma Interleukin-10 and Cholesterol Levels May Inform about Interdependences between Fitness and Fatness in Healthy Individuals," IJERPH, MDPI, vol. 18(4), pages 1-19, February.
    19. Lee, Anthony J. & Hibbs, Courtney & Wright, Margaret J. & Martin, Nicholas G. & Keller, Matthew C. & Zietsch, Brendan P., 2017. "Assessing the accuracy of perceptions of intelligence based on heritable facial features," Intelligence, Elsevier, vol. 64(C), pages 1-8.
    20. Risa Kitagawa, 2024. "Justice as fairness or retribution? Citizen reactions to domestic trials of wartime violence," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(4), pages 612-626, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0297036. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.