Skip to main content
Log in

Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet

  • Research Paper
  • Published:
Business & Information Systems Engineering Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. See also http://www.3gpp.org/-Industry-White-Papers.

  2. In the model we abstract from data traffic which is caused by the use of a reduced speed (64 kbps).

References

  • Altmann J, Chu K (2001) How to charge for network services – flat-rate or usage-based? Computer Networks 36(5–6):519–531

    Article  Google Scholar 

  • BMWI (2010) Informationstechnik und Telekommunikation. Bundesministerium für Wirtschaft und Technologie. http:www.bmwi.de/BMWi/Navigation/Wirtschaft/branchenfokus,did=197728.html. Accessed 2011-03-15

  • Chandukala SR, Kim J, Otter T, Rossi PE, Allenby GM (2007) Choice models in marketing: economic assumptions, challenges and trends. Foundations and Trends in Marketing 2(2):97–184

    Article  Google Scholar 

  • Dahlman E, Parkvall S, Skold J, Beming P (2008) 3G evolution: HSPA and LTE for mobile broadband. 2nd edn. Academic Press, Oxford

    Google Scholar 

  • Delaney J (2009) Mobile broadband: home and away. European wireless and mobile communications. IDC, London

    Google Scholar 

  • Ding M (2007) An incentive-aligned mechanism for conjoint analysis. Journal of Marketing Research 44(2):214–223

    Article  Google Scholar 

  • Draganska M, Klapper D, Villas-Boas S (2010) A larger slice or a larger pie: an empirical investigation of bargaining power in the distribution channel. Marketing Science 29(1):57–74

    Article  Google Scholar 

  • Figge S, Theysohn S (2006) Quantifizierung des Nutzenangebots eines werbefinanzierten Geschäftsmodells für den Mobile Commerce. WIRTSCHAFTSINFORMATIK 48(2):96–106

    Article  Google Scholar 

  • Gensler S (2003) Heterogenität in der Präferenzanalyse. Gabler, Wiesbaden

    Google Scholar 

  • GI (2010) Requirements Engineering – Aufgaben und Ziele. Gesellschaft für Informatik. http://www1.gi-ev.de/fachbereiche/softwaretechnik/re/ziele.htm. Accessed 2011-03-15

  • Gordijn J, Osterwalder A, Pigneur Y (2005) Comparing two business model ontologies for designing e-business models and value constellations. In: Proceedings of the 18th bled eConference, Slovenia

    Google Scholar 

  • Hanssmann F (1993) Einführung in die Systemforschung, 4th edn. Oldenbourg, München

    Google Scholar 

  • Hatton M (2008) Strategies for mobile broadband pricing and packaging. Analysis Mason, Cambridge

    Google Scholar 

  • Informa (2009) Content & services interactive forecast tool. Informa Telecoms & Media, London

    Google Scholar 

  • Iyengar R, Jedidi K, Kohli R (2008) A conjoint approach to multi-part pricing. Journal of Marketing Research 45(2):195–210

    Article  Google Scholar 

  • Kort K (2010) Italiens Netz steht vor dem Kollaps. Handelsblatt 2010-07-08. http://www.handelsblatt.com/unternehmen/it-medien/italiens-netz-steht-vor-dem-kollaps/3484828.html. Accessed 2011-03-15

  • Lambrecht A, Seim K, Skiera B (2007) Does uncertainty matter? Consumer behavior under three-part tariffs. Marketing Science 26(5):698–710

    Article  Google Scholar 

  • Lambrecht A, Skiera B (2006) Paying too much and being happy about it: existence, causes and consequences of tariff-choice biases. Journal of Marketing Research 43(2):212–223

    Article  Google Scholar 

  • Liebl F (1995) Simulation. Problemorientierte Einführung. Oldenbourg, München

    Google Scholar 

  • Louviere JJ, Hensher DA, Swait JD (2000) Stated choice methods: analysis and application. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Marn MV, Roegner E, Zawada CC (2004) The price advantage. Wiley, Hoboken

    Google Scholar 

  • Myers JH, Alpert MI (1968) Determinant buying attitudes: meaning and measurement. Journal of Marketing 32(4):13–20

    Article  Google Scholar 

  • Persson M (2010) The mobile broadband connectivity market. NGT Research Series 2010, Götheburg

  • Png IPL, Wang H (2010) Buyer uncertainty and two-part pricing: theory and applications. Management Science 56(2):334–342

    Article  Google Scholar 

  • Reiss PC, Wolak FA (eds) (2007) Structural econometric modeling: rationales and examples from industrial organization. Handbook of Econometrics, North-Holland, Amsterdam

    Google Scholar 

  • Schade S, Frey T, Mahmoud N (2009) Simulating discount-pricing strategies for the GSM-mobile market. Bus. Inf. Syst. Eng. doi:10.1007/s12599-009-0057-0

    Google Scholar 

  • Schlereth C, Skiera B (2009) Schätzung von Zahlungsbereitschaftsintervallen mit der Choice-Based Conjoint-Analyse. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung 61(8):838–865

    Google Scholar 

  • Shapiro C, Varian HR (1998) Information rules: a strategic guide to the network economy. Harvard Business School Press, Boston

    Google Scholar 

  • Simon H, Fassnacht M (2009) Preismanagement, 3rd edn. Gabler, Wiesbaden

    Google Scholar 

  • Skiera B (1999) Mengenbezogene Preisdifferenzierung bei Dienstleistungen. Deutscher Universitäts-Verlag, Wiesbaden

    Google Scholar 

  • Skiera B (2010) Differences in the ability of structural and reduced-form models to improve pricing decisions. Zeitschrift Marketing – Journal of Research and Management 6(1):91–99

    Google Scholar 

  • Stähler P (2001) Geschäftsmodelle in der digitalen Ökonomie. Merkmale, Strategien und Auswirkungen. Josef Eul Verlag, Lohmar

    Google Scholar 

  • Street DJ, Burgess L (2007) The construction of optimal stated choice experiments: theory and methods, 1st edn. Wiley-Interscience, Somerset

    Book  Google Scholar 

  • Swait J, Andrews RL (2003) Enriching scanner panel models with choice experiments. Marketing Science 22(4):442–460

    Article  Google Scholar 

  • Teichert T (2001) Nutzenschätzung in Conjoint-Analysen. Theoretische Fundierung und empirische Aussagekraft. Deutscher Universitäts-Verlag, Wiesbaden

    Google Scholar 

  • Train K (2009) Discrete choice models with simulation, 2nd edn. Cambridge University Press, Cambridge

    Google Scholar 

  • Völckner F (2006) Methoden zur Messung individueller Zahlungsbereitschaften: Ein Überblick zum State of the Art. Journal für Betriebswirtschaft 56(1):33–60

    Article  Google Scholar 

  • Wertenbroch K, Skiera B (2002) Measuring consumer willingness to pay at the point of purchase. Journal of Marketing Research 39(2):228–241

    Article  Google Scholar 

  • Wiltinger K (1998) Preismanagement in der unternehmerischen Praxis: Problemkreise der organisatorischen Implementierung Gabler, Wiesbaden

    Google Scholar 

  • Zerdick A, Picot A, Schrape K, Artope A, Goldhammer K, Lange UT, Vierkant E, Lopez-Escobar E, Silverstone R (2001) Die Internet-Ökonomie. Strategien für die digitale Wirtschaft. Springer, Heidelberg

    Google Scholar 

Download references

Acknowledgements

The authors thank Andreas Albers and Mike Radmacher for their helpful comments during the preparation of the manuscript. We also thank the three anonymous reviewers and the editor Udo Bub for the extremely constructive teamwork and suggestions. The data collection through a panel operator was financially supported by Detecon. Furthermore, parts of the work were produced during Christian Schlereth’s research stay at the Centre for the Study of Choice (CenSoc) at the University of Technology in Sydney (UTS). The authors thank Jordan Louviere for comments on methodology and the German research foundation for financial support for the stay in the form of a research grant (GZ: SCHL 1942/1-1).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christian Schlereth.

Additional information

Accepted after two revisions by Dr. Bub.

This article is also available in German in print and via http://www.wirtschaftsinformatik.de: Fritz M, Schlereth C, Figge S (2011) Empirische Evaluation von Fair-Use-Flatrate-Strategien für das mobile Internet. WIRTSCHAFTSINFORMATIK. doi: 10.1007/s11576-011-0284-0.

Electronic Supplementary Material

Below is the link to the electronic supplementary material.

(PDF 16.2 KB)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fritz, M., Schlereth, C. & Figge, S. Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet. Bus Inf Syst Eng 3, 269–277 (2011). https://doi.org/10.1007/s12599-011-0172-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12599-011-0172-6

Keywords

Navigation