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    Rights statement: This is the author’s version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior, 72, 2017 DOI: 10.1016/j.chb.2017.02.014

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Why do people file share unlawfully?: a systematic review, meta-analysis and panel study

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Why do people file share unlawfully? a systematic review, meta-analysis and panel study. / Fleming, Piers; Watson, Steven J.; Patouris, Elisavet et al.
In: Computers in Human Behavior, Vol. 72, 07.2017, p. 535-548.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fleming, P, Watson, SJ, Patouris, E, Bartholomew, KJ & Zizzo, DJ 2017, 'Why do people file share unlawfully? a systematic review, meta-analysis and panel study', Computers in Human Behavior, vol. 72, pp. 535-548. https://doi.org/10.1016/j.chb.2017.02.014

APA

Fleming, P., Watson, S. J., Patouris, E., Bartholomew, K. J., & Zizzo, D. J. (2017). Why do people file share unlawfully? a systematic review, meta-analysis and panel study. Computers in Human Behavior, 72, 535-548. https://doi.org/10.1016/j.chb.2017.02.014

Vancouver

Fleming P, Watson SJ, Patouris E, Bartholomew KJ, Zizzo DJ. Why do people file share unlawfully? a systematic review, meta-analysis and panel study. Computers in Human Behavior. 2017 Jul;72:535-548. Epub 2017 Feb 5. doi: 10.1016/j.chb.2017.02.014

Author

Fleming, Piers ; Watson, Steven J. ; Patouris, Elisavet et al. / Why do people file share unlawfully? a systematic review, meta-analysis and panel study. In: Computers in Human Behavior. 2017 ; Vol. 72. pp. 535-548.

Bibtex

@article{34e22d455eda44ac83872d7abd0d88d9,
title = "Why do people file share unlawfully?: a systematic review, meta-analysis and panel study",
abstract = "Abstract Unlawful digital media sharing is common and believed to be extremely damaging to business. Understanding unlawful file sharers' motivations offers the opportunity to develop business models and behavioral interventions to maximize consumers' and businesses{\textquoteright} benefit. This paper uses a systematic review of unlawful file sharing research, and the Theory of Planned Behavior, to motivate a large-scale panel study in which initial determinants were used to predict subsequent behavior. A meta-analysis found Attitudes, Subjective Norms and Perceived Behavioral Control were all associated with unlawful file sharing. Media type and demographic differences in the importance of Perceived Behavioral Control were found and attributed to more accurate evaluation of familiar activities, i.e., greater experience increases the influence of Perceived Behavioral Control but age does not. The panel study confirmed that greater past experience was associated with Perceived Behavioral Control and Intention. We conclude that past experience increases the efficacy of the Theory of Planned Behavior and specifically Perceived Behavioral control in predicting behavior, contrary to some widely held beliefs about the role of experience. The role of experience is therefore crucial to understanding people's choices. Practically, improving social approval, positive evaluation and access to lawful media should reduce unlawful behavior.",
keywords = "File sharing, Internet piracy, Systematic review, Meta-analysis, Theory of Planned Behavior",
author = "Piers Fleming and Watson, {Steven J.} and Elisavet Patouris and Bartholomew, {Kimberley J.} and Zizzo, {Daniel J.}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior, 72, 2017 DOI: 10.1016/j.chb.2017.02.014",
year = "2017",
month = jul,
doi = "10.1016/j.chb.2017.02.014",
language = "English",
volume = "72",
pages = "535--548",
journal = "Computers in Human Behavior",
issn = "0747-5632",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Why do people file share unlawfully?

T2 - a systematic review, meta-analysis and panel study

AU - Fleming, Piers

AU - Watson, Steven J.

AU - Patouris, Elisavet

AU - Bartholomew, Kimberley J.

AU - Zizzo, Daniel J.

N1 - This is the author’s version of a work that was accepted for publication in Computers in Human Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Human Behavior, 72, 2017 DOI: 10.1016/j.chb.2017.02.014

PY - 2017/7

Y1 - 2017/7

N2 - Abstract Unlawful digital media sharing is common and believed to be extremely damaging to business. Understanding unlawful file sharers' motivations offers the opportunity to develop business models and behavioral interventions to maximize consumers' and businesses’ benefit. This paper uses a systematic review of unlawful file sharing research, and the Theory of Planned Behavior, to motivate a large-scale panel study in which initial determinants were used to predict subsequent behavior. A meta-analysis found Attitudes, Subjective Norms and Perceived Behavioral Control were all associated with unlawful file sharing. Media type and demographic differences in the importance of Perceived Behavioral Control were found and attributed to more accurate evaluation of familiar activities, i.e., greater experience increases the influence of Perceived Behavioral Control but age does not. The panel study confirmed that greater past experience was associated with Perceived Behavioral Control and Intention. We conclude that past experience increases the efficacy of the Theory of Planned Behavior and specifically Perceived Behavioral control in predicting behavior, contrary to some widely held beliefs about the role of experience. The role of experience is therefore crucial to understanding people's choices. Practically, improving social approval, positive evaluation and access to lawful media should reduce unlawful behavior.

AB - Abstract Unlawful digital media sharing is common and believed to be extremely damaging to business. Understanding unlawful file sharers' motivations offers the opportunity to develop business models and behavioral interventions to maximize consumers' and businesses’ benefit. This paper uses a systematic review of unlawful file sharing research, and the Theory of Planned Behavior, to motivate a large-scale panel study in which initial determinants were used to predict subsequent behavior. A meta-analysis found Attitudes, Subjective Norms and Perceived Behavioral Control were all associated with unlawful file sharing. Media type and demographic differences in the importance of Perceived Behavioral Control were found and attributed to more accurate evaluation of familiar activities, i.e., greater experience increases the influence of Perceived Behavioral Control but age does not. The panel study confirmed that greater past experience was associated with Perceived Behavioral Control and Intention. We conclude that past experience increases the efficacy of the Theory of Planned Behavior and specifically Perceived Behavioral control in predicting behavior, contrary to some widely held beliefs about the role of experience. The role of experience is therefore crucial to understanding people's choices. Practically, improving social approval, positive evaluation and access to lawful media should reduce unlawful behavior.

KW - File sharing

KW - Internet piracy

KW - Systematic review

KW - Meta-analysis

KW - Theory of Planned Behavior

U2 - 10.1016/j.chb.2017.02.014

DO - 10.1016/j.chb.2017.02.014

M3 - Journal article

VL - 72

SP - 535

EP - 548

JO - Computers in Human Behavior

JF - Computers in Human Behavior

SN - 0747-5632

ER -