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The Impact of Demographic Variables on Perception of Importance and Continued Usage of Facebook in the US

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  • Sanjeev Jha
  • Chen Ye

Abstract

Many firms have started investing in social media, hoping to reach and to engage their customers. However, results from social media initiatives have been inconsistent, underscoring the need to understand social media use at the individual level. We examined the impact of demographics on the attitudes of Facebook users towards the social media giant in the United States using survey data published by Pew Internet Project. Users’ perceptions of importance and continued usage were found to vary across demographic groups based on gender, age, education and income. Younger, less educated and lower-income users are expected to decrease their time on Facebook next year compared with older, more educated and higher-income users. Implications for research and practice are discussed.

Suggested Citation

  • Sanjeev Jha & Chen Ye, 2016. "The Impact of Demographic Variables on Perception of Importance and Continued Usage of Facebook in the US," Global Business Review, International Management Institute, vol. 17(1), pages 1-15, February.
  • Handle: RePEc:sae:globus:v:17:y:2016:i:1:p:1-15
    DOI: 10.1177/0972150915610666
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    References listed on IDEAS

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    1. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    2. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    4. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    5. Brian S. Butler, 2001. "Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures," Information Systems Research, INFORMS, vol. 12(4), pages 346-362, December.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Sanjeev Jha & Sridhar R. Papagari Sangareddy & Kevin C. Desouza & DongBack Seo & Chen Ye, 2010. "Impact of complaint management on repurchase intention of consumer technologies: employing the justice theory lens," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 12(3/4), pages 352-371.
    8. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    9. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
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