Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 523

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 access
·2003·Journal of Management Information Systems

Abstract

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/07421222.2003.11045759

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 11 references

Cited by

See all 523

Metadata

Venue
Journal of Management Information Systems
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Software Piracy in the Workplace: A Model and Empirical Test. https://app.cochat.ai/papers/10.1080/07421222.2003.11045759
The paper
Software Piracy in the Workplace: A Model and Empirical Test. (2003). Journal of Management Information Systems. https://doi.org/10.1080/07421222.2003.11045759

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.