Intellectual property regulation, and software piracy, a predictive model D'Rosario, Michael 2016, Intellectual property regulation, and software piracy, a predictive model, International journal of strategic decision sciences (IJSDS), vol. 7, no. 4, pp. 21-34, doi: 10.4018/IJSDS.2016100102. Attached Files Name Description MIMEType Size Downloads Title Intellectual property regulation, and software piracy, a predictive model Author(s) D'Rosario, Michael Journal name International journal of strategic decision sciences (IJSDS) Volume number 7 Issue number 4 Start page 21 End page 34 Total pages 14 Publisher IGI Global Place of publication Hershey, Pa. Publication date 2016-10 ISSN 1947-8569 1947-8577 Keyword(s) artificial neural network intellectual property software piracy TRIPS Summary In recent years, a number of studies have considered the impact of IPRs on software piracy, specifically TRIPS and more recently U.S. USTR 301 reporting, pursuant to the Trade Act. The work of Shadlen (2005) supports the assertion that a number of recent IPR reforms directly influence rates of copyright infringement. Shadlen (2005) is a significant study into the impact of the IPRs such as TRIPS, Out of Cycle reviews and USTR 301 reporting on software piracy. The study identified a number of key IPR reforms and sought to determine the impact of IPR reform differentials on observed piracy rates. The current study extends upon Shadlen (2005), comparing the pooled panel model framework to an alternative model of prediction, a backward propagation, multilayer perceptron network model. The analysis conducted herein focuses specifically on ASEAN member countries. The study employs the Garson (1991) and Goh (1995) methods of independent variable analysis to offer further insight into relative importance of the IPR reform variables. Language eng DOI 10.4018/IJSDS.2016100102 Field of Research 1801 Law Socio Economic Objective 0 Not Applicable HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, IGI Global Persistent URL http://hdl.handle.net/10536/DRO/DU:30093001 Document type: Journal Article Collection: Department of Finance Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 04 Apr 2017, 15:38:49 EST Wed, 05 Apr 2017, 05:02:35 EST Thu, 27 Apr 2017, 11:07:33 EST Fri, 28 Apr 2017, 06:04:35 EST Fri, 02 Jun 2017, 11:53:15 EST Fri, 02 Jun 2017, 11:57:21 EST Fri, 02 Jun 2017, 11:58:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 72 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 27 Apr 2017, 11:07:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.