Using the data collected from several universities in China and the United States, which have drastically different piracy rates, economic development stages, income levels, and national cultures, this study aims to identify which demographic factors affect software piracy significantly. Totally, the dataset includes 600 valid responses. Multivariate data analysis, supported by Multivariate Analysis of Variance and Turkey’s test, reveals that among various factors, country difference and gender most significantly influence software piracy. In addition, this study offers recommendations on how to curb software piracy effectively.
Fang, Xiang and Lee, Sooun
"Comparative Empirical Analysis on Computer Software Piracy Behaviors between China and the United States: An Exploratory Study,"
Journal of International Technology and Information Management: Vol. 25
, Article 4.
Available at: http://scholarworks.lib.csusb.edu/jitim/vol25/iss2/4
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