A new form of software piracy known as digital piracy has taken the spotlight. Lost revenues due to digital piracy could reach $5 billion by the end of 2005.Preventives and deterrents do not seem to be working – losses are increasing. This study examines factors that influence an individual’s attitude toward pirating digital material. The results of this study suggest that attitude toward digital pirating is influenced by beliefs about the outcome of behavior (cognitive beliefs), happiness and excitement (affective beliefs), (...) age, the perceived importance of the issue, the influence of significant others (subjective norms), and machiavellianism. Given these results, measures can be developed which could alter attitudes toward digital piracy. (shrink)

The purpose of this study is to investigate the salient factors that influence accounting students to engage in software and music piracy. This study uses the theory of reasoned action and the theory of planned behavior, and extends these models to incorporate other variables to predict individuals’ behavioral intentions. Specifically, we hypothesize that attitudes toward the behavior, subjective norms, perceived behavioral control, moral obligation and perceived prosecution risk influence intentions to engage in software and music piracy. Data were obtained from (...) 237 university accounting students in a Caribbean university to assess the influence of the components of the theories and other modified and extended models. Findings reveal that attitudes, subjective norms, perceived behavioral control, moral obligation and perceived prosecution risk significantly influence intentions to engage in software and music piracy. These findings lend full support to the hypothesized relationships in our extended theory of planned behavior. (shrink)

This paper focuses on segmenting digital movie and TV series pirates and on investigating the effectiveness of piracy-combatting measures i.e., legal and educational strategies, in light of these segments. To address these research objectives, two online studies were conducted. First, 1277 valid responses were gathered with an online survey. Four pirate segments were found based on differing combinations of attitude toward piracy, ethical evaluation of piracy and feelings of guilt. The anti-pirate, conflicted pirate, cavalier pirate, and die-hard pirate can be (...) placed on a continuum of increasing pirating frequency, subjective norm, pirating self-efficacy, habit, and decreasing in perceived harm, respectively. The segments also differ in deontological and teleological orientations. Second, in an experimental mixed design, we find that the educational strategy is more effective than the legal strategy in lowering pirating intentions for the conflicted and cavalier pirate. However, both strategies fail at lowering intentions of the die-hard pirate, although perceived harm and perceived impunity were significantly influenced. These findings offer a more profound understanding of pirate segments and how they react differently to piracy-combatting measures. As a result, better strategies can be developed to control digital piracy. (shrink)

We develop and use an integrated individual-level model to explain the driving forces behind digital piracy practice in two nations. The proposed model combines the Norm Activation model and Unified Theory of Acceptance and Use of Technology models. This study also explores the effect of culture on intention to practice DP in two nations: US and India. A survey instrument was used to collect data from 231 US and 331 Indian participants. Use of the integrated model proves to be a (...) powerful and a viable approach to understanding DP across cultures. In each nation, all 10 path coefficients on the research model are statistically significant thereby establishing the fact that personal norm, together with other factors, influences INT to engage in DP, which in turn, may influence the actual practice. The results reveal a support for cross-cultural generalizability and applicability of the proposed model. Culture clearly plays a strong moderating role in two out of the three paths tested. The implications of the findings are discussed. (shrink)