This study focuses on one of the newer forms of software piracy, known as digital piracy, and uses the Theory of Planned Behavior (TPB) as a framework to attempt to determine factors that influence digital piracy (the illegal copying/downloading of copyrighted software and media files). This study examines factors, which could determine an individual’s intention to pirate digital material (software, media, etc.). Past piracy behavior and moral obligation, in addition to the prevailing theories of behavior (Theory of Planned Behavior), were (...) studied to determine the influence on digital piracy intention. Based on the results of this study, planned behavioral factors in addition to past piracy behavior and moral obligation were found to influence an individual’s intention to pirate digital material. Attitude, past piracy behavior, perceived behavior control, and moral obligation explained 71 percent of the intention to pirate variance. Using these results, a better understanding of why individuals pirate is presented and can be used to help combat digital piracy. (shrink)

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)

Academic integrity violations on college campuses continue to be a significant concern that draws public attention. Even though AI has been the subject of numerous studies offering explanations and recommendations, academic dishonesty persists. Consequently, this has rekindled interest in understanding AI behavior and its influencers. This paper focuses on the AI violations of plagiarism and sharing homework for freshman business students, examining the factors that influence a student’s intention to plagiarize or share homework with others. Using a sample of more (...) than 1300 freshman business students over 2 years, we modeled intent to plagiarize and intent to share homework using factors in the Theory of Planned Behavior in addition to past violation behavior and moral obligation. Based on the results of this study, attitude, perceived behavioral control, subjective norm, and in addition past behavior and moral obligation, were found to significantly influence an individual’s intention to violate academic integrity, explaining 33 and 35 % of the variance in intention to commit an AI violation for sharing homework and plagiarism, respectively. These results contribute to a better understanding of individuals’ motivations for plagiarizing and sharing homework, which is a necessary step toward reducing academic integrity violations. (shrink)

Robin et al. (1996) suggested a new construct when studying ethical behavioral intention which they entitled PIE (perceived importance). They empirically tested the PIE construct and found it to significantly impact both ethical judgment and behavioral intention. The present study extends and validates Robin et al.s work on PIE using a different context, different scenarios and a different sample. The findings indicate strong support for the validity of Robin et al.s PIE instrument and show PIE to significantly influence ethical judgment (...) (attitude) and behavioral intention. This study also indicates the sex of the individual affects the individuals perception of importance and is a significant influence of ethical judgment and behavioral intention. Future ethical models and studies should include PIE as a possible influence on behavioral intention. (shrink)