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Churn and loyalty behaviour of Turkish digital natives

Authors: Guven, Faruk;

Churn and loyalty behaviour of Turkish digital natives

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.

Keywords

Loyalty, Mobile Services, Turkey, ddc:330, Digital Natives, Consumer Behavior, Churn

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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