TY - GEN
T1 - Gender Differences in Identity-Based Social Influence a Proposed Experimental Examination of Software Piracy Behavior
AU - Gergely, Marton
AU - Al Khaili, Nora Eisa
AU - Al-Qirim, Nabeel
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/8
Y1 - 2018/10/8
N2 - Software piracy is the unauthorized copying, sharing, or using of software. It can be a profitable endeavor for individuals, but a tremendous loss for the industry. According to the Business Software Alliance, there is an annual revenue loss of over $52 billion in the industry (2016). Therefore, it is critical to understand as much as possible about the phenomenon, and investigate the factors that influence subjects' piracy behavior. Driven by gaps in previously published literature, the study proposed here is an experimental investigation into the gender differences in identity-based social influence. In essence, the study will examine if males or females are more likely to influence a group of their peers to either pirate, or abstain from pirating a piece of software. While this topic is previously unstudied in the field of software piracy, it could prove potentially useful in such areas as anti-piracy advertising. Further, as most of the published studies in software piracy are inclined to social desirability bias (as these studies traditionally rely on surveys and responses to paper-based scenarios), the study presented here has been designed with the specific objective of avoiding social desirability bias by having real money at stake in an experimental setting.
AB - Software piracy is the unauthorized copying, sharing, or using of software. It can be a profitable endeavor for individuals, but a tremendous loss for the industry. According to the Business Software Alliance, there is an annual revenue loss of over $52 billion in the industry (2016). Therefore, it is critical to understand as much as possible about the phenomenon, and investigate the factors that influence subjects' piracy behavior. Driven by gaps in previously published literature, the study proposed here is an experimental investigation into the gender differences in identity-based social influence. In essence, the study will examine if males or females are more likely to influence a group of their peers to either pirate, or abstain from pirating a piece of software. While this topic is previously unstudied in the field of software piracy, it could prove potentially useful in such areas as anti-piracy advertising. Further, as most of the published studies in software piracy are inclined to social desirability bias (as these studies traditionally rely on surveys and responses to paper-based scenarios), the study presented here has been designed with the specific objective of avoiding social desirability bias by having real money at stake in an experimental setting.
KW - gender differences
KW - intellectual property theft
KW - social desirability bias
KW - social influence
KW - software piracy
UR - http://www.scopus.com/inward/record.url?scp=85056697455&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056697455&partnerID=8YFLogxK
U2 - 10.1109/CSIT.2018.8486151
DO - 10.1109/CSIT.2018.8486151
M3 - Conference contribution
AN - SCOPUS:85056697455
T3 - 2018 8th International Conference on Computer Science and Information Technology, CSIT 2018
SP - 161
EP - 166
BT - 2018 8th International Conference on Computer Science and Information Technology, CSIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Computer Science and Information Technology, CSIT 2018
Y2 - 11 July 2018 through 12 July 2018
ER -