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Identifying users' behavior purchasing virtual items
Emil R. Kaburuan
,
Chien Hsu Chen
,
Tay Sheng Jeng
Department of Industrial Design
Department of Architecture
Research output
:
Contribution to journal
›
Conference article
›
peer-review
9
Citations (Scopus)
Overview
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Dive into the research topics of 'Identifying users' behavior purchasing virtual items'. Together they form a unique fingerprint.
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Computer Science
User Behavior
100%
Customer Behavior
100%
Online Transaction
50%
Influence Factor
50%
Psychology
Regression Analysis
100%
Correlation Analysis
100%
Keyphrases
Virtual Items
100%
Real Wealth
25%
Virtual Goods
25%
Virtual Assets
25%