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Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet

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  • Marcel Fritz
  • Christian Schlereth
  • Stefan Figge

Abstract

The fair use flat rate is a promising tariff concept for the mobile telecommunication industry. Similar to classical flat rates it allows unlimited usage at a fixed monthly fee. Contrary to classical flat rates it limits the access speed once a certain usage threshold is exceeded. Due to the current global roll-out of the LTE (Long Term Evolution) technology and the related economic changes for telecommunication providers, the application of fair use flat rates needs a reassessment. We therefore propose a simulation model to evaluate different pricing strategies and their contribution margin impact. The key input element of the model is provided by so-called discrete choice experiments that allow the estimation of customer preferences. Based on this customer information and the simulation results, the article provides the following recommendations. Classical flat rates do not allow profitable provisioning of mobile Internet access. Instead, operators should apply fair use flat rates with a lower usage threshold of 1 or 3 GB which leads to an improved contribution margin. Bandwidth and speed are secondary and do merely impact customer preferences. The main motivation for new mobile technologies such as LTE should therefore be to improve the cost structure of an operator rather than using it to skim an assumed higher willingness to pay of mobile subscribers. Copyright Gabler Verlag 2011

Suggested Citation

  • Marcel Fritz & Christian Schlereth & Stefan Figge, 2011. "Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(5), pages 269-277, October.
  • Handle: RePEc:spr:binfse:v:3:y:2011:i:5:p:269-277
    DOI: 10.1007/s12599-011-0172-6
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    References listed on IDEAS

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    1. Michaela Draganska & Daniel Klapper & Sofia B. Villas-Boas, 2010. "A Larger Slice or a Larger Pie? An Empirical Investigation of Bargaining Power in the Distribution Channel," Marketing Science, INFORMS, vol. 29(1), pages 57-74, 01-02.
    2. Chandukala, Sandeep R. & Kim, Jaehwan & Otter, Thomas & Rossi, Peter E. & Allenby, Greg M., 2008. "Choice Models in Marketing: Economic Assumptions, Challenges and Trends," Foundations and Trends(R) in Marketing, now publishers, vol. 2(2), pages 97-184, September.
    3. I. P. L. Png & Hao Wang, 2010. "Buyer Uncertainty and Two-Part Pricing: Theory and Applications," Management Science, INFORMS, vol. 56(2), pages 334-342, February.
    4. Sven Schade & Thorsten Frey & Nezar Mahmoud, 2009. "Simulating Discount-Pricing Strategies for the GSM-Mobile Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(4), pages 289-300, August.
    5. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, January.
    6. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
    7. Schade, Sven & Frey, Thorsten & Mahmoud, Nezar, 2009. "Simulating Discount-Pricing Strategies for the GSM-Mobile Market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 50717, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Reiss, Peter C. & Wolak, Frank A., 2007. "Structural Econometric Modeling: Rationales and Examples from Industrial Organization," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 64, Elsevier.
    9. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.
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