Trajectories of Software Piracy and Multi-Domain Predictors.
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| Title: | Trajectories of Software Piracy and Multi-Domain Predictors. |
|---|---|
| Authors: | Lee, Yeungjeom1 (AUTHOR), Kim, Jihoon2 (AUTHOR) jkim218@ua.edu, Jennings, Wesley3 (AUTHOR), Wu, Ethan Yih Chian1 (AUTHOR) |
| Source: | Crime & Delinquency. May2026, Vol. 72 Issue 5, p1205-1227. 23p. |
| Subject Terms: | *Protective factors, *Adolescent psychology, Piracy (Copyright), Logistic regression analysis, Internet piracy, Statistical models |
| Abstract: | This study aims to deepen the understanding of software piracy through a developmental perspective and risk and protective factors approach. We employ group-based trajectory modeling to identify the trajectories of software piracy and investigate the influence of various risk and protective factors via a series of multinomial logistic regressions. Youth engagement in software piracy generally increases over time, but there exist different patterns (i.e., increasing, decreasing, adolescent peak). In addition, various risk and protective factors demonstrated varying degrees of ability to distinguish software piracy trajectories. The findings of the study suggest the necessity of a comprehensive approach to software piracy prevention programs. [ABSTRACT FROM AUTHOR] |
| Copyright of Crime & Delinquency is the property of Sage Publications 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: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 192342291 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Trajectories of Software Piracy and Multi-Domain Predictors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lee%2C+Yeungjeom%22">Lee, Yeungjeom</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Jihoon%22">Kim, Jihoon</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jkim218@ua.edu</i><br /><searchLink fieldCode="AR" term="%22Jennings%2C+Wesley%22">Jennings, Wesley</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Ethan+Yih+Chian%22">Wu, Ethan Yih Chian</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Crime+%26+Delinquency%22">Crime & Delinquency</searchLink>. May2026, Vol. 72 Issue 5, p1205-1227. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Protective+factors%22">Protective factors</searchLink><br />*<searchLink fieldCode="DE" term="%22Adolescent+psychology%22">Adolescent psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Piracy+%28Copyright%29%22">Piracy (Copyright)</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+piracy%22">Internet piracy</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study aims to deepen the understanding of software piracy through a developmental perspective and risk and protective factors approach. We employ group-based trajectory modeling to identify the trajectories of software piracy and investigate the influence of various risk and protective factors via a series of multinomial logistic regressions. Youth engagement in software piracy generally increases over time, but there exist different patterns (i.e., increasing, decreasing, adolescent peak). In addition, various risk and protective factors demonstrated varying degrees of ability to distinguish software piracy trajectories. The findings of the study suggest the necessity of a comprehensive approach to software piracy prevention programs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Crime & Delinquency is the property of Sage Publications 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=ehh&AN=192342291 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/00111287241231750 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1205 Subjects: – SubjectFull: Protective factors Type: general – SubjectFull: Adolescent psychology Type: general – SubjectFull: Piracy (Copyright) Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Internet piracy Type: general – SubjectFull: Statistical models Type: general Titles: – TitleFull: Trajectories of Software Piracy and Multi-Domain Predictors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee, Yeungjeom – PersonEntity: Name: NameFull: Kim, Jihoon – PersonEntity: Name: NameFull: Jennings, Wesley – PersonEntity: Name: NameFull: Wu, Ethan Yih Chian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00111287 Numbering: – Type: volume Value: 72 – Type: issue Value: 5 Titles: – TitleFull: Crime & Delinquency Type: main |
| ResultId | 1 |
