| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4957682 | Telematics and Informatics | 2017 | 13 Pages |
Abstract
The present study aims to examine purchase behavior in personalized online shopping by employing complexity theory, based on customers' online shopping experience and online shopping motivations. To address its objectives, a conceptual model is proposed along with research propositions. The research propositions are validated through a survey on 401 customers' experience with online shopping, by using the data analysis tool fsQCA (fuzzy-set Qualitative Comparative Analysis). The results, indicate nine configurations of online shopping experience and online shopping motivations that lead to high purchase intentions. This study takes a step further the literature of online shopping and the theoretical ground of how customers' online shopping experience combines with their online shopping motivations in order to predict and explain increased intention to purchase. The findings offer implications for both researchers and online retailers, regarding the development of new theories in personalized e-commerce and the provision of personalized services.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Ilias O. Pappas, Panos E. Kourouthanassis, Michail N. Giannakos, George Lekakos,