Analysis of consumer preferences for mobile telecom plans using a discrete choice experiment

In this paper, we present a study of consumer preferences for mobile telecommunications plans and operator characteristics. The objective of the study was to identify consumer preferences for the following characteristics of mobile plans: the importance of using the same provider as friends and family (calling club network effects), the market share of the provider (pure network effects), the length of the commitment period, monthly fee/recharge obligations and per minute call charges for calls made within and outside the provider network. A discrete choice experiment was used as a preference elicitation method and implemented in face-to-face interviews. We present results regarding willingness to pay for the described features as well as their relationship to socio-demographic variables. Consumers are willing to pay 1.3 Euro per month more to reduce the commitment period from 1 year to 6 months and willing to pay 2.5 euros per month more to be part of a larger network. Consumers are also twice as much more sensitive to within-network price variations than extra-network price variations. These results remain unchanged in the sub-sample of those that have internet access suggesting that a web-based surveys are capable of producing unbiased results. The implications of these results for regulatory policy are discussed. Discrete choice experiment study eliciting mobile telecom plans and operator preferences.Features included: network effects, commitment period, monthly fee and on-net/off-net charges.Consumers are willing to pay 1.3 per month more to reduce by 6 months the commitment period.Consumers are willing to pay 2.5 per month more to be part of a larger network.Those consumers who are willing to pay are twice as much more sensitive to on-net price than to off-net price.Regulatory policy implications are discussed.

[1]  Justus Haucap,et al.  Consumer Behavior towards On-net/Off-net Price Differentiation , 2011 .

[2]  P. Klemperer,et al.  Chapter 31 Coordination and Lock-In: Competition with Switching Costs and Network Effects , 2007 .

[3]  Paul E. Green,et al.  Thirty Years of Conjoint Analysis: Reflections and Prospects , 2001, Interfaces.

[4]  R. Inderst,et al.  Calling Circles: Network Competition with Non-Uniform Calling Patterns , 2010 .

[5]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[6]  Bolle Friedel,et al.  A Fallacy of Dominant Price Vectors in Network Industries , 2005 .

[7]  Rosa-Branca Esteves,et al.  Behavior-based price discrimination with retention offers , 2014, Inf. Econ. Policy.

[8]  Daniel Birke,et al.  Network Effects, network structure and consumer interaction in mobile telecommunications , 2010 .

[9]  T. Valletti,et al.  Network Competition and Entry Deterrence , 2005 .

[10]  Daniel McFadden,et al.  The new science of pleasure: consumer choice behavior and the measurement of well-being , 2014 .

[11]  Robert Cameron Mitchell,et al.  Using Surveys to Value Public Goods: The Contingent Valuation Method , 1989 .

[12]  Terry N. Flynn,et al.  Best-Worst Scaling , 2015 .

[13]  Oz Shy,et al.  A Welfare Evaluation of History-Based Price Discrimination , 2012 .

[14]  J. Laffont,et al.  Network Competition: I. Overview and Nondiscriminatory Pricing , 1998 .

[15]  B. Skiera,et al.  Paying Too Much and Being Happy about It: Existence, Causes, and Consequences of Tariff-Choice Biases , 2006 .

[16]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .

[17]  Luís M. B. Cabral,et al.  Dynamic Price Competition with Network Effects , 2008 .

[18]  Xavier Vives,et al.  Why market shares matter: an information-based theory , 1996 .

[19]  Maciej Sobolewski,et al.  Measuring network effects in mobile telecommunications markets with stated-preference valuation methods , 2011 .

[20]  Francisco Javier Sese,et al.  The role of (personal) network effects and switching costs in determining mobile users' choice , 2009, J. Inf. Technol..

[21]  Lorenzo Zirulia,et al.  Me and you and everyone we know: An empirical analysis of local network effects in mobile communications , 2009 .

[22]  T. J. Gerpott,et al.  Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market , 2001 .

[23]  T. Gabrielsen,et al.  Why is on-net traffic cheaper than off-net traffic Access markup as a collusive device , 2002 .

[24]  Peter H. Rossi,et al.  Measuring social judgments : the factorial survey approach , 1983 .

[25]  J. Laffont,et al.  Network Competition: II. Price Discrimination , 1998 .

[26]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[27]  Á. López,et al.  Foreclosing Competition Through High Access Charges and Price Discrimination , 2016 .

[28]  T. Peters,et al.  Best--worst scaling: What it can do for health care research and how to do it. , 2007, Journal of health economics.

[29]  G. M. Peter Swann,et al.  The functional form of network effects , 2002, Inf. Econ. Policy.

[30]  Maciej Sobolewski,et al.  Network effects and preference heterogeneity in the case of mobile telecommunications markets , 2012 .

[31]  A. Stated preference analysis of travel choices: the state of practice , 2004 .

[32]  D. Fudenberg,et al.  Chapter 7 Behavior-Based Price Discrimination and Customer Recognition , 2006 .

[33]  Jörg Claussen,et al.  Tariff-Mediated Network Effects Versus Strategic Disounting: Evidence from German Mobile Telecommunications , 2013 .

[34]  P. Klemperer,et al.  Coordination and Lock-In: Competition with Switching Costs and Network Effects , 2006 .

[35]  The Role Of Conjoint Surveys In Reasonable Royalty Cases , 2013 .

[36]  K. Train Discrete Choice Methods with Simulation , 2003 .

[37]  Hee-Su Kim,et al.  Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market , 2004 .

[38]  Patrick Rey,et al.  Foreclosing Competition through Access Charges and Price Discrimination , 2009 .

[39]  Hee-Su Kim,et al.  The advantage of network size in acquiring new subscribers: a conditional logit analysis of the Korean mobile telephony market , 2003, Inf. Econ. Policy.

[40]  Yeonbae Kim,et al.  Estimating the extent of potential competition in the Korean mobile telecommunications market: Switching costs and number portability , 2006 .

[41]  J. Finch,et al.  Divorce, Remarriage and Family Obligations , 1990 .

[42]  Steffen Hoernig,et al.  On-Net and Off-Net Pricing on Asymmetric Telecommunications Networks , 2006, Inf. Econ. Policy.

[43]  J. Louviere,et al.  Some probabilistic models of best, worst, and best–worst choices , 2005 .

[44]  J. Miguel Villas-Boas,et al.  A Short Survey on Switching Costs and Dynamic Competition , 2015 .

[45]  Jörg Claussen,et al.  Tariff-Mediated Network Effects Versus Strategic Discounting: Evidence from German Mobile Telecommunications , 2013 .

[46]  D. Fudenberg,et al.  Behavior-Based Price Discrimination and Customer Recognition , 2007 .

[47]  G. Swann,et al.  Network effects and the choice of mobile phone operator , 2006 .

[48]  Richard T. Carson,et al.  A Common Nomenclature for Stated Preference Elicitation Approaches , 2011 .

[49]  Daniel McFadden,et al.  Direct Elicitation of Indirect Preferences , 2015 .

[50]  Mehmet Karaçuka,et al.  Consumer choice and local network effects in mobile telecommunications in Turkey , 2013 .

[51]  Moon-Koo Kim,et al.  The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services , 2004 .

[52]  Hubertus zu Lowenstein EUROPE AND ASIA , 2016 .

[53]  Akihiro Nakamura,et al.  Estimating switching costs involved in changing mobile phone carriers in Japan: Evaluation of lock-in factors related to Japan's SIM card locks , 2010 .

[54]  M. Armstrong Network Interconnection in Telecommunications , 1998 .

[55]  Lucio Fuentelsaz,et al.  Switching Costs, Network Effects, and Competition in the European Mobile Telecommunications Industry , 2012, Inf. Syst. Res..