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Wireless diffusion and mobile computing: implications for the digital divide

Author

Listed:
  • Wareham, Jonathan
  • Levy, Armando
  • Shi, Wei

Abstract

Despite significant improvements in nominal levels, severe gaps of digital inclusion still exist in the American economy. This paper argues that, for certain groups, migration towards mobile computing and digital inclusion may transpire from 2G voice centric mobile telecommunications to data centric mobile computing devices. Accordingly, this analysis employs a large data set to investigate what socio-economic factors are determinant for the diffusion of mobile telecommunications; how these findings can be extended to help close the digital divide; and how these findings can inform policy making concerning the digital divide.

Suggested Citation

  • Wareham, Jonathan & Levy, Armando & Shi, Wei, 0. "Wireless diffusion and mobile computing: implications for the digital divide," Telecommunications Policy, Elsevier, vol. 28(5-6), pages 439-457, June.
    • Handle: RePEc:eee:telpol:v:28:y::i:5-6:p:439-457
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    Citations

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    Cited by:

    1. Baburin, Vyacheslav & Zemtsov, Stepan, 2014. "Diffussion of ICT-products and "five Russias"," MPRA Paper 68926, University Library of Munich, Germany, revised 10 May 2014.
    2. Urama, Nathaniel E. & Ogbu, Osita, 2018. "Evaluating consumer perception and willingness to pay for broadband in Nigeria," Telecommunications Policy, Elsevier, vol. 42(6), pages 421-432.
    3. Tarek Ben Rhouma & Georges Zaccour, 2018. "Optimal Marketing Strategies for the Acquisition and Retention of Service Subscriber," Management Science, INFORMS, vol. 64(6), pages 2609-2627, June.
    4. Simeon Yates & John Kirby & Eleanor Lockley, 2015. "Digital Media Use: Differences and Inequalities in Relation to Class and Age," Sociological Research Online, , vol. 20(4), pages 71-91, November.
    5. Jha, Ashutosh & Saha, Debashis, 2020. "“Forecasting and analysing the characteristics of 3G and 4G mobile broadband diffusion in India: A comparative evaluation of Bass, Norton-Bass, Gompertz, and logistic growth models”," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    6. Gila Cohen Zilka & Idit Finkelstein & Revital Cohen & Ilan Daniels Rahimi, 2021. "Implications of the Digital Divide for the Learning Process During the COVID-19 Crisis," Review of European Studies, Canadian Center of Science and Education, vol. 13(2), pages 1-57, June.
    7. Koutroumpis, Pantelis & Leiponen, Aija, 2016. "Crowdsourcing mobile coverage," Telecommunications Policy, Elsevier, vol. 40(6), pages 532-544.
    8. Srinuan, Chalita & Srinuan, Pratompong & Bohlin, Erik, 2011. "An analysis of mobile internet service in Thailand: Implications for bridging digital divide," 8th ITS Asia-Pacific Regional Conference, Taipei 2011: Convergence in the Digital Age 52326, International Telecommunications Society (ITS).
    9. Srinuan, Chalita & Bohlin, Erik, 2011. "Understanding the digital divide: A literature survey and ways forward," 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications - Emerging Regulatory, Economic and Policy Issues 52191, International Telecommunications Society (ITS).
    10. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    11. Katie Brown & Scott W. Campbell & Rich Ling, 2011. "Mobile Phones Bridging the Digital Divide for Teens in the US?," Future Internet, MDPI, vol. 3(2), pages 1-15, May.
    12. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Rhee, Hongjai & Lee, Euehun & Lee, Hongkyu, 2012. "Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model," Telecommunications Policy, Elsevier, vol. 36(10), pages 858-871.

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