| Literature DB >> 26030384 |
Steven James Watson1, Daniel John Zizzo2, Piers Fleming3.
Abstract
We employ a scoping review methodology to consider and assess the existing evidence on the determinants of unlawful file sharing (UFS) transparently and systematically. Based on the evidence, we build a simple conceptual framework to model the psychological decision to engage in UFS, purchase legally or do nothing. We identify social, moral, experiential, technical, legal and financial utility sources of the decision to purchase or to file share. They interact in complex ways. We consider the strength of evidence within these areas and note patterns of results. There is good evidence for influences on UFS within each of the identified determinants, particularly for self-reported measures, with more behavioral research needed. There are also indications that the reasons for UFS differ across media; more studies exploring media other than music are required.Entities:
Mesh:
Year: 2015 PMID: 26030384 PMCID: PMC4452318 DOI: 10.1371/journal.pone.0127921
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Search strategy for academic databases.
| Modes of sharing: |
| (File sharing OR file-sharing OR DRM OR Digital rights manag |
| AND: Content shared |
| (video game OR video-game OR game OR gamer OR gaming OR electronic games OR digital game |
| NOT: Noise inducing keywords |
| (Medical OR medicine OR medieval OR Navy OR naval OR maritime) |
Note: * refers to the wildcard character in the academic databases that accounts for words that may have multiple endings. E.g. ‘Download*’ would return ‘download’, ‘downloading’ and ‘downloaded’ etc.
Attempted sources of grey literature.
| Organizations from which literature was sought |
|---|
| Intellectual Property Office (IPO) |
| Ofcom |
| The European Commission |
| Federal Trade Commission (FTC) |
| Consumer Focus |
| Organisation for Economic Co-operation and Development (OECD) |
| Performing Right Society for Music (PRS) |
| International Federation of the Phonographic Industry (IFPI) |
| UK Music |
| Federation Against Copyright Theft (FACT) |
| Creative Coalition Campaign (CCC) |
| Alliance for Intellectual Property |
| British Phonographic Industry (BPI) |
| Association for United Kingdom Interactive Entertainment (UKIE) |
| Institute for Information Law (IVIR) |
Summary of inclusion and exclusion criteria.
| Inclusion Criteria |
|
|
| Explore the causes or consequences of UFS of digital media—Digital media is restricted to: Music, movies, software, TV shows, videogames, e-books, and pornography |
| Be published after January 1st 2003 inclusive |
| Be published in the English language |
| Exclusion criteria |
|
|
| Media files are acquired via a financial transaction |
| Media files contain illegal material (e.g. child pornography) |
| No novel data is presented (e.g. reviews, opinion pieces, dual publications) |
| No empirical testing on human participants is performed (e.g. pure economic models) |
| The article is not written in the English language |
Definition of outcome measures for unlawful file sharing.
| Outcome Measure | Definition |
|---|---|
|
| Explorations of perceptions of or engagement in behaviors without quantitative assessment. |
|
| Outcome is at the level of how good or bad, right or wrong, or preferable an action is perceived to be |
|
| Outcome described participants reports of behavior that they plan to engage in in the future |
|
| Outcome represents the amount of money that a participant states they are willing to pay in order to obtain a good |
|
| Outcome represents a participant’s report of behavior that has been engaged in in the past, such as from a survey |
|
| Outcome represents behavior that is either directly observed at the level of the individual, such as in an experiment, or else at the population level, such as from sales data |
Fig 1Flow diagram of academic articles included in the review (in addition to 14 grey literature articles).
Fig 2A Cubic Space of Available Evidence on Unlawful File Sharing.
Note: the size of the sphere in the cube represents the amount of evidence available for each combination.
Number of observations for each utility level, market medium and outcome measure.
| Utility | Medium | Qualitative | Stated preferences | Intentions | WTP | Stated behavior | Observed behavior | Total |
|---|---|---|---|---|---|---|---|---|
| Financial and Legal Utility | Videogames | 0 | 1 | 0 | 0 | 2 | 1 | 4 |
| Books | 1 | 2 | 0 | 0 | 0 | 0 | 3 | |
| TV | 1 | 2 | 0 | 0 | 0 | 1 | 4 | |
| Movies | 0 | 7 | 3 | 0 | 7 | 7 | 24 | |
| Software | 3 | 16 | 7 | 1 | 4 | 5 | 36 | |
| Music | 3 | 26 | 18 | 7 | 24 | 16 | 94 | |
| Generic | 7 | 4 | 3 | 1 | 7 | 0 | 22 | |
| Total | 15 | 58 | 31 | 9 | 44 | 30 | 187 | |
| Experiential Utility | Videogames | 0 | 0 | 1 | 0 | 3 | 0 | 4 |
| Books | 0 | 1 | 0 | 0 | 2 | 1 | 4 | |
| TV | 1 | 1 | 0 | 0 | 2 | 0 | 4 | |
| Movies | 1 | 1 | 3 | 0 | 7 | 1 | 13 | |
| Software | 2 | 0 | 1 | 1 | 2 | 0 | 6 | |
| Music | 1 | 12 | 8 | 5 | 18 | 3 | 47 | |
| Generic | 6 | 2 | 0 | 0 | 1 | 1 | 10 | |
| Total | 11 | 17 | 13 | 6 | 35 | 6 | 88 | |
| Technical Utility | Videogames | 0 | 2 | 1 | 2 | 2 | 1 | 8 |
| Books | 1 | 2 | 1 | 2 | 2 | 1 | 9 | |
| TV | 1 | 2 | 1 | 2 | 2 | 1 | 9 | |
| Movies | 0 | 5 | 10 | 2 | 9 | 9 | 35 | |
| Software | 3 | 16 | 14 | 1 | 9 | 3 | 46 | |
| Music | 1 | 16 | 21 | 6 | 30 | 12 | 86 | |
| Generic | 6 | 3 | 9 | 1 | 4 | 2 | 25 | |
| Total | 12 | 46 | 57 | 16 | 58 | 29 | 218 | |
| Social Utility | Videogames | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
| Books | 1 | 2 | 0 | 0 | 0 | 0 | 3 | |
| TV | 2 | 2 | 0 | 0 | 0 | 0 | 4 | |
| Movies | 1 | 7 | 10 | 0 | 3 | 1 | 22 | |
| Software | 3 | 11 | 18 | 1 | 7 | 4 | 44 | |
| Music | 4 | 21 | 20 | 1 | 19 | 2 | 67 | |
| Generic | 8 | 2 | 8 | 0 | 8 | 1 | 27 | |
| Total | 19 | 46 | 56 | 2 | 37 | 8 | 168 | |
| Moral Utility | Videogames | 0 | 2 | 0 | 0 | 0 | 1 | 3 |
| Books | 1 | 2 | 0 | 0 | 0 | 0 | 3 | |
| TV | 1 | 2 | 0 | 0 | 0 | 0 | 3 | |
| Movies | 0 | 8 | 7 | 0 | 4 | 0 | 19 | |
| Software | 4 | 13 | 13 | 0 | 6 | 0 | 36 | |
| Music | 4 | 20 | 16 | 4 | 19 | 1 | 64 | |
| Generic | 6 | 5 | 8 | 0 | 7 | 0 | 26 | |
| Total | 16 | 52 | 44 | 4 | 36 | 2 | 154 | |
| Total Net Utility | Videogames | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
| Books | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| TV | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Movies | 0 | 1 | 9 | 0 | 4 | 0 | 14 | |
| Software | 0 | 4 | 16 | 0 | 10 | 0 | 30 | |
| Music | 0 | 2 | 16 | 3 | 14 | 0 | 35 | |
| Generic | 0 | 3 | 9 | 0 | 5 | 0 | 17 | |
| Total | 0 | 10 | 51 | 3 | 33 | 0 | 97 |
Fig 3A conceptual framework on the decision to engage in UFS.
Note: utility categories are as defined and the links between category elements (in squared brackets) are as described in Table 6.
Definition of categories and links in conceptual framework on UFS.
| Utility | Definition | |
|---|---|---|
| Total net utility | Overall assessments regarding how beneficial a behavior is (e.g. attitudes or the results of a cost-benefit analysis), or a reported intent to engage in a behavior in future | |
| Legal and financial net utility | Factors associated with financial outlay for legal purchasing as well as the perceived likelihood and legal and financial consequences of detection whilst engaged in unlawful activity, such as monetary fines | |
| Experiential net utility | Factors associated with perceptions of goods themselves such as individuals’ interest in a media type or a desire to experience goods | |
| Technical net utility | Factors associated with individuals’ perceived or actual ability to unlawfully file share, for example their technical skill or the availability of broadband connections | |
| Social net utility | Factors associated with the influence others can have upon the behavior of an individual. For example, whether or not peers engage in unlawful file sharing or perceive the behavior to be acceptable or not | |
| Moral net utility | Factors associated with how right or wrong unlawful file sharing is perceived to be by an individual, and how mismatches between individuals moral beliefs and their actual behaviors behavior are managed | |
| Link | Connects | Description |
| L1-L2 | Legal strength—Legal risk | Stronger legal IP regimens are associated with enhanced legal risks. |
| L1-S1 | Legal strength—Normative beliefs | Different cultures have different beliefs about file sharing, which impact upon legal enforcement. |
| L3-M1 | Perception of laws—Moral frameworks | UFS does not always feel like a crime, and in cultures that consider UFS moral the validity of the laws may questioned rather than the appropriateness of UFS. |
| S2-E2 | Collecting—Social prestige | Having content to provide to others can enhance social prestige as well as increase the library for personal consumption. |
| E3-T1 | Sampling and niche content—Technical availability | The technical availability of niche content via UFS networks allows users to indulge an interest in media not (widely) available legally. |
| T1-T2 | Technical skills—Technical risk | Greater technical skill permits a lower risk of contracting malware and damaging equipment. |
| S1-M1 | Normative beliefs—Moral frameworks | Social norms in part reflect wider cultural moral beliefs. |
Note: the links are as defined in Fig 3.