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

机译:解开财富,文化和全球软件盗版率之间关系的网络:路径模型

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摘要

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 kevjactors 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 rales. Implications for combating software piracy are discussed.
机译:本文研究了Hofstede的国家文化指数(IDV,PSI,MAS和UAI),经济财富(GNI)和国家软件盗版率(SPR)之间的关系。尽管许多研究已经研究了这种关系,但是本文的贡献是双重的。首先,我们开发一种路径模型,不仅强调促进软件盗版的关键因素,而且强调这些因素之间的相互关系。其次,大多数研究都使用了2003年前的方法得出的数据集,该数据集仅考虑了商业软件,而没有考虑当地的市场情况。使用最新的数据集和大量国家(n-61)样本,我们发现PDI,IDV和GNI之间存在重要的三元关系,可以解释软件盗版规则中80%以上的差异。讨论了打击软件盗版的含义。

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