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Effects of consumer preferences on the convergence of mobile telecommunications devices

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Author Info
Yeonbae Kim
Jeong-Dong Lee
Daeyoung Koh

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Abstract

Amidst the overall trend of convergence in information technology, device convergence is noteworthy. This study looks at the possible direction of device convergence based on consumer preferences for the main attributes of the mobile terminal of the future. Conjoint analysis and a mixed logit model using a Bayesian approach with Gibbs sampling are used to learn consumer preferences. Results show that consumers generally prefer a keyboard and a medium-sized display, although at present most consumers are indifferent to whether the terminal provides high-quality Internet service and to whether it operates many kinds of application programs or programs originally designed for personal computers. Given the heterogeneity of consumer preferences, partial, rather than perfect, device convergence is anticipated. Implications for the future of device convergence and how it will affect other types of convergence are drawn.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 37 (2005)
Issue (Month): 7 (April)
Pages: 817-826
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Handle: RePEc:taf:applec:v:37:y:2005:i:7:p:817-826

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  1. Joel Huber & Kenneth Train, 2001. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Econometrics 0012003, EconWPA. [Downloadable!]
    Other versions:
  2. John Calfee & Clifford Winston & Randolph Stempski, 2001. "Econometric Issues In Estimating Consumer Preferences From Stated Preference Data: A Case Study Of The Value Of Automobile Travel Time," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 699-707, November. [Downloadable!] (restricted)
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  7. Fredrik Carlsson, 2003. "The demand for intercity public transport: the case of business passengers," Applied Economics, Taylor and Francis Journals, vol. 35(1), pages 41-50, January. [Downloadable!] (restricted)
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  8. Roe, Brian & Boyle, Kevin J. & Teisl, Mario F., 1996. "Using Conjoint Analysis to Derive Estimates of Compensating Variation," Journal of Environmental Economics and Management, Elsevier, vol. 31(2), pages 145-159, September. [Downloadable!] (restricted)
  9. Begoña Álvarez-Farizo & Nick Hanley, . "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms," Working Papers 2001_12, Department of Economics, University of Glasgow. [Downloadable!]
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  1. Carlos Pestana Barros & Marilena Vecco & Victor Blanco, 2008. "Addiction At the Biennale of Venice," Working Papers 2008/14, Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon.. [Downloadable!]
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