Abstract
At the end of the 20th century the focus of communication service markets shifted from voice to data. Simultaneously, wireless communication became mobile, spreading globally, and produced an immense economic impact, with external effects impacting on related industry. However, voice service provider revenues declined due to a slowdown in subscription growth and falls in calling charges. Service providers have offered data services based on the mobile communication networks as an alternative (mobile Internet). However, the traditional economic framework is not applicable to this mobile Internet environment since both the volume of data traffic and revenues are slight, as is the rate of increase. Moreover, new wireless technology such as wireless LAN and Bluetooth are developed to further threaten incumbents. Accordingly, uncertainty about the returns to enormous investments in the communications facilities has increased. Further, within the mobile communications industry, the relative importance of data communication as opposed to voice is growing.
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References
Alvarez-Farizo B, Hanley N (2002) Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms: An example from Spain. Energy Policy 30: 107–16
Amemiya T (1985) Advanced econometrics. Basil Blackwell, Oxford
Batt C, Katz J (1997) A conjoint model of enhanced voice mail services: Implications for new service development and forecasting. Telecommunication Policy 21: 743–60
Calfee J, Winston C, Stempski R (2001) Econometric issues in estimating consumer preferences from stated preference data: A case study of the value of automobile travel time. Review of Economics and Statistics 83: 699–707
Gartner Dataquest (2002) Wireless LAN equipment: Worldwide 2001-2007
Green P, Srinivasan V (1978) Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing 54: 3–19
Hensher DA (1994) Stated preference analysis of travel choices: The state of the practice. Transportation 21: 107–33
OVUM (2002) Mobile @Ovum: Forecasts, OVUM
Quester A, Green W (1982) Divorce risk and wives’ labor supply behavior. Social Science Quarterly 63: 730–8
Roe B, Boyle KJ, Teisl MF (1996) Using conjoint analysis to derive estimates of compensating variation. Journal of Environmental Economics and Management 31: 145–59
Slothuus U, Larsen ML, Junker P (2002) The contingent ranking method: A feasible and valid method when eliciting preference for health care? Social Science and Medicine 54: 1601–9
Tobin J (1958) Estimation of relationships for limited dependent variables. Econometrica 26: 314–21
Wireless Industry Research Team (2002) The analysis of the mutual relation between Public Wireless LAN and mobile communication: Competitive or complementary? Electronics and Telecommunications Research Institute, Korea
Zavoina R, McElvey W (1975) A statistical model for the analysis of ordinal level dependent variables. Journal of Mathematical Sociology, Summer: 103–20
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© 2004 Springer-Verlag Berlin Heidelberg
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Byun, SK., Lee, J., Lee, JD., Ahn, J. (2004). Korean Wireless Data Communication Markets and Consumer Technology. In: Cooper, R., Madden, G. (eds) Frontiers of Broadband, Electronic and Mobile Commerce. Contributions to Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2676-0_10
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DOI: https://doi.org/10.1007/978-3-7908-2676-0_10
Publisher Name: Physica, Heidelberg
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Online ISBN: 978-3-7908-2676-0
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