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Effects of consumer preferences on the convergence of mobile telecommunications devices

  • Yeonbae Kim
  • Jeong-Dong Lee
  • Daeyoung Koh

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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Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 37 (2005)
Issue (Month): 7 ()
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. Layton, David F., 2000. "Random Coefficient Models for Stated Preference Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 21-36, July.
  2. Stirling Bryan & David Parry, 2002. "Structural reliability of conjoint measurement in health care: an empirical investigation," Applied Economics, Taylor & Francis Journals, vol. 34(5), pages 561-567.
  3. Blackman, Colin R, 1998. "Convergence between telecommunications and other media: How should regulation adapt?," Telecommunications Policy, Elsevier, vol. 22(3), pages 163-170, April.
  4. Fredrik Carlsson, 2003. "The demand for intercity public transport: the case of business passengers," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 41-50.
  5. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2.
  6. Huber, Joel & Train, Kenneth, 2000. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Department of Economics, Working Paper Series qt7zm4f51b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  7. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt3tb6j874, University of California Transportation Center.
  8. Begoña Álvarez-Farizo & Nick Hanley, . "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms," Working Papers 2001_12, Business School - Economics, University of Glasgow.
  9. Batt, Carl E & Katz, James E, 1997. "A conjoint model of enhanced voice mail services. Implications for new service development and forecasting," Telecommunications Policy, Elsevier, vol. 21(8), pages 743-760, October.
  10. 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.
  11. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
  12. David Hensher, 2001. "The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications," Transportation, Springer, vol. 28(2), pages 101-118, May.
  13. Chiang, Jeongwen & Chib, Siddhartha & Narasimhan, Chakravarthi, 1998. "Markov chain Monte Carlo and models of consideration set and parameter heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 223-248, November.
  14. McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
  15. Fernando San Miguel & Mandy Ryan & Emma McIntosh, 2000. "Applying conjoint analysis in economic evaluations: an application to menorrhagia," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 823-833.
  16. 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.
  17. Alvarez-Farizo, Begona & Hanley, Nick, 2002. "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain," Energy Policy, Elsevier, vol. 30(2), pages 107-116, January.
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