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Churn and loyalty behaviour of Turkish digital natives

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  • Guven, Faruk

Abstract

The mobile industry drives innovation and economic growth all over the world, thanks to the application industry, content providers and mobile handset producers and operators. With a very young and dynamic population and a remarkable 96 percent mobile penetration rate, Turkey is no stranger to this trend. Yes, this very segment – commonly referred to as digital natives – also poses a dilemma for telecom operators: a high rate of attrition or the churn phenomenon. This paper reports on an empirical examination of the churn and loyalty characteristics of digital natives in the Turkish context. We employ a large sample of youth and analyse their churn and loyalty likelihoods. Overall, we find convincing evidence that, by having a consumer-centric approach and knowing more about their individual customers, telecom operators can drive loyalty and prevent churn. The rise of big data and sophisticated analysis based on behavioral patterns implies that operators now have the tools they need to predict consumer behavior better than ever before.

Suggested Citation

  • Guven, Faruk, 2018. "Churn and loyalty behaviour of Turkish digital natives," 29th European Regional ITS Conference, Trento 2018 184943, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse18:184943
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    1. Madden, Gary & Coble-Neal, Grant & Dalzell, Brian, 2004. "A dynamic model of mobile telephony subscription incorporating a network effect," Telecommunications Policy, Elsevier, vol. 28(2), pages 133-144, March.
    2. Atiyas, Izak & Dogan, PInar, 0. "When good intentions are not enough: Sequential entry and competition in the Turkish mobile industry," Telecommunications Policy, Elsevier, vol. 31(8-9), pages 502-523, September.
    3. Confraria, João & Ribeiro, Tiago & Vasconcelos, Helder, 2017. "Analysis of consumer preferences for mobile telecom plans using a discrete choice experiment," Telecommunications Policy, Elsevier, vol. 41(3), pages 157-169.
    4. Birke, Daniel & Swann, G.M. Peter, 2010. "Network effects, network structure and consumer interaction in mobile telecommunications in Europe and Asia," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 153-167, November.
    5. Daniel Birke & G. M. Peter Swann, 2007. "Network effects and the choice of mobile phone operator," Springer Books, in: Uwe Cantner & Franco Malerba (ed.), Innovation, Industrial Dynamics and Structural Transformation, pages 109-128, Springer.
    6. Haenlein, Michael, 2013. "Social interactions in customer churn decisions: The impact of relationship directionality," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 236-248.
    7. Sunil Gupta & Valarie Zeithaml, 2006. "Customer Metrics and Their Impact on Financial Performance," Marketing Science, INFORMS, vol. 25(6), pages 718-739, 11-12.
    8. Zucchini, Leon & Claussen, Jörg & Trüg, Moritz, 2013. "Tariff-mediated network effects versus strategic discounting: Evidence from German mobile telecommunications," International Journal of Industrial Organization, Elsevier, vol. 31(6), pages 751-759.
    9. J. Burez & D. Van Den Poel, 2005. "CRM at a Pay-TV Company: Using Analytical Models to Reduce Customer Attrition by Targeted Marketing for Subscription Services," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/348, Ghent University, Faculty of Economics and Business Administration.
    10. Seo, DongBack & Ranganathan, C. & Babad, Yair, 0. "Two-level model of customer retention in the US mobile telecommunications service market," Telecommunications Policy, Elsevier, vol. 32(3-4), pages 182-196, April.
    11. Srinuan, Pratompong & Srinuan, Chalita & Bohlin, Erik, 2014. "An empirical analysis of multiple services and choices of consumer in the Swedish telecommunications market," Telecommunications Policy, Elsevier, vol. 38(5), pages 449-459.
    12. Buckinx, Wouter & Van den Poel, Dirk, 2005. "Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting," European Journal of Operational Research, Elsevier, vol. 164(1), pages 252-268, July.
    13. Kim, Hee-Su & Yoon, Choong-Han, 0. "Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market," Telecommunications Policy, Elsevier, vol. 28(9-10), pages 751-765, October.
    14. Van den Poel, Dirk & Lariviere, Bart, 2004. "Customer attrition analysis for financial services using proportional hazard models," European Journal of Operational Research, Elsevier, vol. 157(1), pages 196-217, August.
    15. Gerpott, Torsten J. & Rams, Wolfgang & Schindler, Andreas, 2001. "Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market," Telecommunications Policy, Elsevier, vol. 25(4), pages 249-269, May.
    16. Corrocher, Nicoletta & Zirulia, Lorenzo, 0. "Me and you and everyone we know: An empirical analysis of local network effects in mobile communications," Telecommunications Policy, Elsevier, vol. 33(1-2), pages 68-79, February.
    17. Basaran, Alparslan A. & Cetinkaya, Murat & Bagdadioglu, Necmiddin, 2014. "Operator choice in the mobile telecommunications market: Evidence from Turkish urban population," Telecommunications Policy, Elsevier, vol. 38(1), pages 1-13.
    18. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    19. Valletti, Tommaso M & Cave, Martin, 1998. "Competition in UK mobile communications," Telecommunications Policy, Elsevier, vol. 22(2), pages 109-131, March.
    20. Garín-Muñoz, Teresa & Pérez-Amaral, Teodosio & Gijón, Covadonga & López, Rafael, 2016. "Consumer complaint behaviour in telecommunications: The case of mobile phone users in Spain," Telecommunications Policy, Elsevier, vol. 40(8), pages 804-820.
    21. I. Atiyas & P. Dogan, "undated". "When good intentions are not enough: Sequential entry in the Turkish mobile industry," Working Paper 33646, Harvard University OpenScholar.
    22. J. Burez & D. Van Den Poel, 2008. "Handling class imbalance in customer churn prediction," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/517, Ghent University, Faculty of Economics and Business Administration.
    23. Nakamura, Akihiro, 2010. "Estimating switching costs involved in changing mobile phone carriers in Japan: Evaluation of lock-in factors related to Japan's SIM card locks," Telecommunications Policy, Elsevier, vol. 34(11), pages 736-746, December.
    24. Ahn, Jae-Hyeon & Han, Sang-Pil & Lee, Yung-Seop, 0. "Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry," Telecommunications Policy, Elsevier, vol. 30(10-11), pages 552-568, November.
    25. Mithat Üner, M. & Güven, Faruk & Tamer Cavusgil, S., 2015. "Bundling of telecom offerings: An Empirical Investigation in the Turkish market," Telecommunications Policy, Elsevier, vol. 39(1), pages 53-64.
    26. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    27. Usero Sánchez, Belén & Asimakopoulos, Grigorios, 2012. "Regulation and competition in the European mobile communications industry: An examination of the implementation of mobile number portability," Telecommunications Policy, Elsevier, vol. 36(3), pages 187-196.
    28. Karacuka, Mehmet & Çatık, A. Nazif & Haucap, Justus, 2013. "Consumer choice and local network effects in mobile telecommunications in Turkey," Telecommunications Policy, Elsevier, vol. 37(4), pages 334-344.
    29. Eshghi, Abdolreza & Haughton, Dominique & Topi, Heikki, 2007. "Determinants of customer loyalty in the wireless telecommunications industry," Telecommunications Policy, Elsevier, vol. 31(2), pages 93-106, March.
    30. Kim, Moon-Koo & Park, Myeong-Cheol & Jeong, Dong-Heon, 2004. "The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services," Telecommunications Policy, Elsevier, vol. 28(2), pages 145-159, March.
    31. Keramati, Abbas & Ardabili, Seyed M.S., 2011. "Churn analysis for an Iranian mobile operator," Telecommunications Policy, Elsevier, vol. 35(4), pages 344-356, May.
    32. Gijón, Covadonga & Garín-Muñoz, Teresa & Pérez-Amaral, Teodosio & López-Zorzano, Rafael, 2013. "Satisfaction of individual mobile phone users in Spain," Telecommunications Policy, Elsevier, vol. 37(10), pages 940-954.
    33. Verbeke, Wouter & Dejaeger, Karel & Martens, David & Hur, Joon & Baesens, Bart, 2012. "New insights into churn prediction in the telecommunication sector: A profit driven data mining approach," European Journal of Operational Research, Elsevier, vol. 218(1), pages 211-229.
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    Keywords

    Digital Natives; Churn; Loyalty; Consumer Behavior; Turkey; Mobile Services;
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