The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Software Piracy in the Workplace: A Model and Empirical Test
Open accessAbstract
Theft of software and other intellectual property has become one of the most visible problems in computing today. This paper details the development and empirical validation of a model of software piracy by individuals in the workplace. The model was developed from the results of prior research into software piracy, and the reference disciplines of the theory of planned behavior, expected utility theory, and deterrence theory. A survey of 201 respondents was used to test the model. The results indicate that individual attitudes, subjective norms, and perceived behavioral control are significant precursors to the intention to illegally copy software. In addition, punishment severity, punishment certainty, and software cost have direct effects on the individual's attitude toward software piracy, whereas punishment certainty has a significant effect on perceived behavioral control. Consequently, strategies to reduce software piracy should focus on these factors. The results add to a growing stream of information systems research into illegal software copying behavior and have significant implications for organizations and industry groups aiming to reduce software piracy.
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Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Perceived Behavioral Control, Self‐Efficacy, Locus of Control, and the Theory of Planned Behavior 1
Ajzen, I. (2002) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2002.tb00236.x · Cited by 7,629
Attitude-behavior relations: A theoretical analysis and review of empirical research
Ajzen, I., & Fishbein, M. (1977) · Psychological Bulletin · doi:10.1037/0033-2909.84.5.888 · Cited by 7,611
Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control
Ajzen, I., & Madden, T. J. (1986) · Journal of Experimental Social Psychology · doi:10.1016/0022-1031(86)90045-4 · Cited by 5,718
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988) · Journal of Consumer Research · doi:10.1086/209170 · Cited by 3,867
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Predicting dishonest actions using the theory of planned behavior
Beck, L., & Ajzen, I. (1991) · Journal of Research in Personality · doi:10.1016/0092-6566(91)90021-h · Cited by 1,325
Cited by
Protection motivation and deterrence: a framework for security policy compliance in organisations
Herath, T., & Rao, H. R. (2009) · European Journal of Information Systems · doi:10.1057/ejis.2009.6 · Cited by 1,249
Toward a Unified Model of Information Security Policy Compliance1
Moody, G. D., Siponen, M., & Pahnila, S. (2018) · MIS Quarterly · doi:10.25300/misq/2018/13853 · Cited by 450
Theory of Planned Behavior and Ethics Theory in Digital Piracy: An Integrated Model
Yoon, C. (2011) · Journal of Business Ethics · doi:10.1007/s10551-010-0687-7 · Cited by 334
The emergence of counterfeit trade: a literature review
Staake, T., Thiesse, F., & Fleisch, E. (2009) · European Journal of Marketing · doi:10.1108/03090560910935451 · Cited by 311
Metadata
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 2003-07
- Volume
- 20
- Issue
- 1
- Pages
- 153-177
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W1500900393
- Cited by
- 523
- References
- 11
- FWCI
- 44.66
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.