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Research Note---Social Interactions and the “Digital Divide”: Explaining Variations in Internet Use

Author

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  • Ritu Agarwal

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Animesh Animesh

    (Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

  • Kislaya Prasad

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

Abstract

Given the increasingly important role of the Internet in education, healthcare, and other essential services, it is important that we develop an understanding of the “digital divide.” Despite the widespread diffusion of the Web and related technologies, pockets remain where the Internet is used sparingly, if at all. There are large geographic variations, as well as variations across ethnic and racial lines. Prior research suggests that individual, household, and regional differences are responsible for this disparity. We argue for an alternative explanation: Individual choice is subject to social influence (“peer effects”) that emanates from geographic proximity; this influence is the cause of the excess variation. We test this assertion with empirical analysis of a data set compiled from a number of sources. We find, first, that widespread Internet use among people who live in proximity has a direct effect on an individual's propensity to go online. Using data on residential segregation, we test the proposition that the Internet usage patterns of people who live in more ethnically isolated regions will more closely resemble usage patterns of their ethnic group. Finally, we examine the moderating impact of housing density and directly measured social interactions on the relationship between Internet use and peer effects. Results are consistent across analyses and provide strong evidence of peer effects, suggesting that individual Internet use is influenced by local patterns of usage. Implications for public policy and the diffusion of the Internet are discussed.

Suggested Citation

  • Ritu Agarwal & Animesh Animesh & Kislaya Prasad, 2009. "Research Note---Social Interactions and the “Digital Divide”: Explaining Variations in Internet Use," Information Systems Research, INFORMS, vol. 20(2), pages 277-294, June.
  • Handle: RePEc:inm:orisre:v:20:y:2009:i:2:p:277-294
    DOI: 10.1287/isre.1080.0194
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    2. Ana Gomes & José G. Dias, 2023. "Is there a Common Digital Market in the European Union? Implications for the European Digitalization Strategy," Journal of Common Market Studies, Wiley Blackwell, vol. 61(3), pages 797-814, May.
    3. Sriram Thirumalai & Kingshuk K. Sinha, 2013. "To Personalize or Not to Personalize Online Purchase Interactions: Implications of Self-Selection by Retailers," Information Systems Research, INFORMS, vol. 24(3), pages 683-708, September.
    4. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.
    5. Pradeep Racherla & Munir Mandviwalla, 2013. "Moving from Access to Use of the Information Infrastructure: A Multilevel Sociotechnical Framework," Information Systems Research, INFORMS, vol. 24(3), pages 709-730, September.
    6. Ni Huang & Gordon Burtch & Yili Hong & Paul A. Pavlou, 2020. "Unemployment and Worker Participation in the Gig Economy: Evidence from an Online Labor Market," Information Systems Research, INFORMS, vol. 31(2), pages 431-448, June.
    7. Claussen, Jörg & Kretschmer, Tobias & Mayrhofer, Philip, 2010. "Incentives for Quality over Time – The Case of Facebook Applications," Discussion Papers in Business Administration 12500, University of Munich, Munich School of Management.
    8. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.
    9. Matthias Firgo & Peter Mayerhofer & Michael Peneder & Philipp Piribauer & Peter Reschenhofer, 2018. "Beschäftigungseffekte der Digitalisierung in den Bundesländern sowie in Stadt und Land," WIFO Studies, WIFO, number 61633, April.
    10. Zhouying Song & Tao Song & Yu Yang & Zhenbo Wang, 2019. "Spatial–Temporal Characteristics and Determinants of Digital Divide in China: A Multivariate Spatial Analysis," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    11. AFAWUBO, Komivi & NOGLO, Yawo Agbényégan, 2022. "ICT and entrepreneurship: A comparative analysis of developing, emerging and developed countries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Jörg Claussen & Tobias Kretschmer & Philip Mayrhofer, 2013. "The Effects of Rewarding User Engagement: The Case of Facebook Apps," Information Systems Research, INFORMS, vol. 24(1), pages 186-200, March.
    13. Jyoti Choudrie & Efpraxia Zamani & Chike Obuekwe, 2022. "Bridging the Digital Divide in Ethnic Minority Older Adults: an Organisational Qualitative Study," Information Systems Frontiers, Springer, vol. 24(4), pages 1355-1375, August.
    14. Kai-Lung Hui & I. P. L. Png, 2015. "Research Note—Migration of Service to the Internet: Evidence from a Federal Natural Experiment," Information Systems Research, INFORMS, vol. 26(3), pages 606-618, September.
    15. Jun Wen & Hadi Hussain & Renai Jiang & Junaid Waheed, 2023. "Overcoming the Digital Divide With ICT Diffusion: Multivariate and Spatial Analysis at China’s Provincial Level," SAGE Open, , vol. 13(1), pages 21582440231, March.
    16. Fulvio Castellacci & Henrik Schwabe, 2018. "Internet Use and the U-shaped relationship between Age and Well-being," Working Papers on Innovation Studies 20180215, Centre for Technology, Innovation and Culture, University of Oslo.

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