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A conjoint model of enhanced voice mail services. Implications for new service development and forecasting


  • Batt, Carl E
  • Katz, James E


Despite its absence in the literature, conjoint modeling can be a powerful tool for telecom policy and business decisions. Using this technique, we examined the US opportunity for a large number of network-based messaging services. Our model has successfully forecast US voice mail penetration and pricing levels from 1993 to present. The results demonstrate that, when properly applied, conjoint analysis yields: (1) accurate identification of consumer priorities and price sensitivities; (2) underlying benefits-based market segmentation; and (3) realistic, efficient demand forecasts for multiple market scenarios.

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  • 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.
  • Handle: RePEc:eee:telpol:v:21:y:1997:i:8:p:743-760

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    References listed on IDEAS

    1. Greenstein, Shane M & Spiller, Pablo T, 1995. "Modern Telecommunications Infrastructure and Economic Activity: An Empirical Investigation," Industrial and Corporate Change, Oxford University Press, vol. 4(4), pages 647-665.
    2. Cave, Martin & Donnelly, Mark P., 1996. "The pricing of international telecommunications services by monopoly operators," Information Economics and Policy, Elsevier, vol. 8(2), pages 107-123, June.
    3. Cronin, Francis J. & Parker, Edwin B. & Colleran, Elisabeth K. & Gold, Mark A., 1991. "Telecommunications infrastructure and economic growth : An analysis of causality," Telecommunications Policy, Elsevier, vol. 15(6), pages 529-535, December.
    4. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, March.
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    Cited by:

    1. Jongsu Lee & Jae Young Choi & Youngsang Cho, 2009. "A Forecast Simulation Analysis of the Next-Generation DVD Market Based on Consumer Preference Data," TEMEP Discussion Papers 200933, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    2. Krystallis, Athanasios & Ness, Mitchell, 2005. "Consumer Preferences for Quality Foods from a South European Perspective: A Conjoint Analysis Implementation on Greek Olive Oil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 8(02).
    3. Lee, Jongsu & Cho, Youngsang, 2009. "Demand forecasting of diesel passenger car considering consumer preference and government regulation in South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 420-429, May.
    4. Yeonbae Kim & Jeong-Dong Lee & Daeyoung Koh, 2005. "Effects of consumer preferences on the convergence of mobile telecommunications devices," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 817-826.
    5. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.

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