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Determinants of software piracy in Thailand

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dc.contributor.advisor Dr. Vatcharaporn Esichaikul (Chairman) en_US
dc.contributor.advisor Dr. Paul Janecek (Member) en_US
dc.contributor.advisor Dr. Donyaprueth Krairit (Member) en_US
dc.contributor.author Chatwalai Taechasaensiri en_US
dc.date.accessioned 2015-01-12T10:45:58Z
dc.date.available 2015-01-12T10:45:58Z
dc.date.issued 2008 en_US
dc.identifier.other AIT Thesis no.IM-08-02 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/618
dc.description 89 p. en_US
dc.description.abstract Software piracy – the most important problem in IT industry, impacts over IT revenues, employment, and country’s economy. Unfortunately, Thailand was ranked the fifth highest software piracy in Asia Pacific region in 2006 with the rate of 80 percents by Business Software Alliance report. The objectives of this study are to study the current status of software piracy in Thailand and to find out determinants that cause a high piracy rate. The proposed conceptual framework is mainly considered the four-component model of ethical decision-making which composes of recognition, judgment, intention, and behaviors (i.e. sharing, buying, and using illegal software). Additional factors providing in the conceptual framework are social norm and demographics. In this study, a survey was conducted on Thai graduate students in one international graduate school in Thailand. By using the partial correlation coefficient and the multiple linear regression, the results indicate that recognition correlates with judgment. There are minor relationships between three factors, noted from the study. Those are judgment and intention, intention and sharing, and lastly is intention and buying. However, there are other relationships besides aforementioned correlations. This is relationship between sharing and using, which is stronger than relationship between buying and using. The results imply that although people recognize buying, using, and sharing pirated software violate an intellectual property and are unacceptable behaviors, they still buy, share, and use. These behaviors depend on their intention without considering ethics. In addition, the study reveals that, people tend to use pirated software by sharing more than buying themselves. Moreover, male has more tendency to buy pirated software than female. Increasing of tendency is influenced by encouragements from professors as well as number of experience in using PC. Lastly, working in private organization is apt to use pirated software than in public organization. These discoveries have profound implications for defining polices to alleviate software piracy in the future. en_US
dc.description.sponsorship Royal Thai Government (RTG) en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Software piracy en_US
dc.subject Information technology en_US
dc.title Determinants of software piracy in Thailand en_US
dc.type Thesis en_US

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