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The co-evolution process of technological innovation—An empirical study of mobile phone vendors and telecommunication service operators in Japan

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  • Chen, Chaojung
  • Watanabe, Chihiro
  • Griffy-Brown, Charla

Abstract

While the development of information and communication technology (ICT) is usually measured by quantitative indices such as penetration rate, the character and quality of development can vary from country to country even if the development seems to be similar as judged by quantitative standards. Mobile phone markets particularly lend themselves to analysis in both quantitative and qualitative perspectives.

Suggested Citation

  • Chen, Chaojung & Watanabe, Chihiro & Griffy-Brown, Charla, 2007. "The co-evolution process of technological innovation—An empirical study of mobile phone vendors and telecommunication service operators in Japan," Technology in Society, Elsevier, vol. 29(1), pages 1-22.
    • Handle: RePEc:eee:teinso:v:29:y:2007:i:1:p:1-22
    DOI: 10.1016/j.techsoc.2006.10.008
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    References listed on IDEAS

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    1. Iimi, Atsushi, 2005. "Estimating demand for cellular phone services in Japan," Telecommunications Policy, Elsevier, vol. 29(1), pages 3-23, February.
    2. Christopher J. Easingwood & Vijay Mahajan & Eitan Muller, 1983. "A Nonuniform Influence Innovation Diffusion Model of New Product Acceptance," Marketing Science, INFORMS, vol. 2(3), pages 273-295.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Funk, Jeffrey L., 2005. "The future of the mobile phone Internet: an analysis of technological trajectories and lead users in the Japanese market," Technology in Society, Elsevier, vol. 27(1), pages 69-83.
    5. Jun, Duk B. & Kim, Seon K. & Park, Yoon S. & Park, Myoung H. & Wilson, Amy R., 2002. "Forecasting telecommunication service subscribers in substitutive and competitive environments," International Journal of Forecasting, Elsevier, vol. 18(4), pages 561-581.
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    Cited by:

    1. Koot, Martijn & Wijnhoven, Fons, 2021. "Usage impact on data center electricity needs: A system dynamic forecasting model," Applied Energy, Elsevier, vol. 291(C).
    2. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).
    3. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    4. Coccia, Mario, 2023. "New Perspectives in Innovation Failure Analysis: A taxonomy of general errors and strategic management for reducing risks," Technology in Society, Elsevier, vol. 75(C).

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