View in EDS

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

Saved in:
Bibliographic Details
Title: Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model.
Authors: Moores, Trevor T.1
Source: Journal of Global Information Management. Jan-Mar2010, Vol. 18 Issue 1, p1-14. 14p.
Subjects: Prevention of software piracy, Piracy prevention (Copyright), Computer software development, Business software, Computer software industry, Methodology
Abstract: This article examines the relationship between Hofstede's national culture indices (lDV, 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 keyfactors 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, lDV and GNI that explains over 80% of the variance in software piracy rates. Implications for combating software piracy are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Global Information Management is the property of IGI Global, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 48632232
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Moores%2C+Trevor+T%2E%22">Moores, Trevor T.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Global+Information+Management%22">Journal of Global Information Management</searchLink>. Jan-Mar2010, Vol. 18 Issue 1, p1-14. 14p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Prevention+of+software+piracy%22">Prevention of software piracy</searchLink><br /><searchLink fieldCode="DE" term="%22Piracy+prevention+%28Copyright%29%22">Piracy prevention (Copyright)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Business+software%22">Business software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+industry%22">Computer software industry</searchLink><br /><searchLink fieldCode="DE" term="%22Methodology%22">Methodology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article examines the relationship between Hofstede's national culture indices (lDV, 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 keyfactors 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, lDV and GNI that explains over 80% of the variance in software piracy rates. Implications for combating software piracy are discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Global Information Management is the property of IGI Global, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=48632232
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.4018/jgim.2010091101
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1
    Subjects:
      – SubjectFull: Prevention of software piracy
        Type: general
      – SubjectFull: Piracy prevention (Copyright)
        Type: general
      – SubjectFull: Computer software development
        Type: general
      – SubjectFull: Business software
        Type: general
      – SubjectFull: Computer software industry
        Type: general
      – SubjectFull: Methodology
        Type: general
    Titles:
      – TitleFull: Untangling the Web of Relationships Between Wealth, Culture, and Global Software Piracy Rates: A Path Model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Moores, Trevor T.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan-Mar2010
              Type: published
              Y: 2010
          Identifiers:
            – Type: issn-print
              Value: 10627375
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Global Information Management
              Type: main
ResultId 1