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Determinants of Consumer Intention to Pirate Digital Products
| Content Provider | Semantic Scholar |
|---|---|
| Author | Setiawan, Budi Tjiptono, Fandy |
| Copyright Year | 2013 |
| Abstract | Digital products, such as software, music, videos, books, and pictures, are vulnerable to digital piracy. The losses caused by pirated digital products have been increasing over years in Indonesia. Long histories of intellectual property rights protection are unable to suppress the piracy behavior. Several studies have been conducted to examine factors affecting consumer intention to pirate digital products. However, a systematic study on consumer intention to commit digital piracy in Indonesia is still limited. The present study aims to address the under-research issue. The current study is a modified replication of Yoon’s (2011) research. Self-administered questionnaires were distributed to 218 students at several universities in Daerah Istimewa Yogyakarta (DIY), Indonesia. Ten research hypotheses were tested using multiple regression analyses. The results indicate that three of the ten hypotheses were not supported, while one hypothesis could not be examined due to its failure to pass a reliability test. Attitude towards digital piracy positively affects consumer intention to commit digital piracy, while moral obligation is a negative predictor of the dependent variable. Subjective norms and perceived behavioral control were found to have insignificant impacts on intention to pirate digital products. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ccsenet.org/journal/index.php/ijms/article/download/26590/16231 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Attitude Book Code Codes of Ethics Disease regression Experience Experiment Image Intellectual Property Rights Kerrison Predictor Optimism Petrosal Sinus Sampling Sampling (signal processing) Structural equation modeling Test case Testicular regression syndrome Universities Used Quit Cigarette Smoking Videos Weakness benefit |
| Content Type | Text |
| Resource Type | Article |