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Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model

Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model

Trevor T. Moores
Copyright: © 2010 |Volume: 18 |Issue: 1 |Pages: 14
ISSN: 1062-7375|EISSN: 1533-7995|ISSN: 1062-7375|EISBN13: 9781616929121|EISSN: 1533-7995|DOI: 10.4018/jgim.2010091101
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MLA

Moores, Trevor T. "Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model." JGIM vol.18, no.1 2010: pp.1-14. http://doi.org/10.4018/jgim.2010091101

APA

Moores, T. T. (2010). Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model. Journal of Global Information Management (JGIM), 18(1), 1-14. http://doi.org/10.4018/jgim.2010091101

Chicago

Moores, Trevor T. "Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model," Journal of Global Information Management (JGIM) 18, no.1: 1-14. http://doi.org/10.4018/jgim.2010091101

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Abstract

This article examines the relationship between Hofstede’s national culture indices (IDV, PSI, MAS, and UAI), economic wealth (GNI), and national software piracy rates (SPR). Although a number of studies have already examined this relationship, the contribution of this article is two-fold. First, we develop a path model that highlights not only the key factors that promote software piracy, but also the inter-relationships between these factors. Second, most studies have used the dataset from the pre-2003 methodology which only accounted for business software and did not take into account local market conditions. Using the latest dataset and a large sample of countries (n=61) we find there is an important triadic relationship between PDI, IDV, and GNI that explains over 80% of the variance in software piracy rates. Implications for combating software piracy are discussed.

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