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Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms
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Date
2019-05-01
Author
Huseynov, Farid
Özkan Yıldırım, Sevgi
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Consumer behavior in e-commerce platforms is one of the extensively researched area. Numerous studies in this field assessed consumer online shopping behavior from various aspects. However, literature review showed that most of the conducted studies do not carry out market segmentation analysis while accessing shopping behavior of online consumers. Therefore, the general conclusions made by these studies about consumer attitude, behavior, and decision-making process might not reflect actual behaviors of different consumer segments. In contrast to previous studies, this study initially carried out psychographic market segmentation analysis and found four different online consumer segments. Later, shopping behavior of each determined segment was assessed by using the developed behavior evaluation model. Findings of this study provide important information to e-retailers about the behavioral characteristics of each consumer segment. E-retailers can utilize this study findings to effectively allocate their marketing resources and design more successful marketing mix for each consumer segment.
Subject Keywords
Online consumer behavior
,
B2C e-commerce
,
Segmentation analysis
,
Two-step clustering analysis
,
Multigroup SEM analysis
,
Structural equation modeling
URI
https://hdl.handle.net/11511/32180
Journal
SAGE OPEN
DOI
https://doi.org/10.1177/2158244019854639
Collections
Graduate School of Informatics, Article
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F. Huseynov and S. Özkan Yıldırım, “Online Consumer Typologies and Their Shopping Behaviors in B2C E-Commerce Platforms,”
SAGE OPEN
, pp. 0–0, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32180.