How to best characterize the personalization construct for e-services

Authors:
Kwiseok Kwon;Jinhyung Cho;Yongtae Park
Affiliations:
Interdisciplinary Graduate Program of Technology and Management, Seoul National University, Seoul, Republic of Korea;School of Computing and Information, Dongyang Technical College, Seoul, Republic of Korea;Interdisciplinary Graduate Program of Technology and Management, Seoul National University, Seoul, Republic of Korea
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

During the past few decades, the importance of personalization has been emphasized frequently in the field of e-services. Since there are various dimensions in the implementation of personalization, a variety of personalization strategies have been developed and embodied. Yet, little is known about the impact of different personalization dimensions on customer retention, which is the fundamental objective of personalization. This results in a lack of consensus about how best to characterize the personalization construct. In order to solve this problem, this study empirically investigates the effect of each classified personalization strategy and proposes the most highly recommended combination of personalization dimensions.