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Research . 2018
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E-Ticaret Sitelerinde Müşteri Sadakatini Artırmaya Yönelik Veri Merkezli Oyunlaştırma Modelinin Oluşturulması

Authors: erensoy, aysu; AYDIN, CAN;

E-Ticaret Sitelerinde Müşteri Sadakatini Artırmaya Yönelik Veri Merkezli Oyunlaştırma Modelinin Oluşturulması

Abstract

Abstract Customer loyalty on e-commerce web sites is vital for attaining sustainable competitive advantage. It is essential to get to know customers, to know on which emotions and drives they act, and to design accordingly. This study looks at customer loyalty in both behavioral and attitudinal frames and provides a gamification model for increasing customer loyalty on e- commerce web sites. In this research, firstly 12 e-commerce web sites were examined and foundational customer behaviours were designated. Then, a survey was applied to understand how much customer behaviours were motivated by the 8 drives that are given in Octalysis Framework. Finally, the results were transformed in to a software (SAAS) as a service to the model. Editor: H. Kemal İlter, Ankara Yıldırım Beyazıt University, Turkey Received: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018 Copyright: © 2018 IMISC Aydın and Erensoy. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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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
Green