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Survey of Potential Determinants of Unlawful File Sharing Survey of Potential Determinants of Unlawful File Sharing

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Survey of Potential Determinants of Unlawful File Sharing - PPT Presentation

Piers Fleming Steven Watson and Daniel Zizzo What is the moderating role of risk Funding from AHRC Grant Number AHK0001791 and from the University of East ID: 565257

ufs acceptability risk amp acceptability ufs amp risk intention moral music legal item financial perceived unlawful file knowledge anonymity

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Slide1

Survey of Potential Determinants of Unlawful File Sharing

Piers

Fleming, Steven Watson, and Daniel Zizzo

What is the moderating role of risk?

Funding from AHRC

Grant Number AH/K000179/1, and from

the

University of East

Anglia are gratefully acknowledgedSlide2

Take home messagesPerceived Financial, Moral and Risk factors predict intention, which predicts Unlawful File

Sharing (UFS)Perceived Likelihood of punishment does not reduce intention to file shareeBooks ≠ digital MusiceBook UFS  A

nonymity, Financial acceptability and Moral acceptabilityMusic UFS Dread, Financial acceptability and Moral acceptabilitySlide3

Unlawful File SharingIt is estimated that 1 in 3 internet users who consume online content, do so unlawfully (

Ofcom, 2013)This may impact upon the £36.3 billion UK creative industriesThe creative industries are keen on increasing the legal risk for unlawful file sharers, to what extent does risk moderate intention/ behaviour ?Slide4

Scoping Review of Existing Research

54,441 articles: Academic Literature

Keyword Search

122 articles:Companies and Organisations(e.g. OFCOM)

Abstracts Screened -> Text Screened

206 included articles

Empirical, primary data about people’s unlawful file sharing of digital media

2003-2013Slide5

Why do people file share unlawfully?Slide6

Why do people file share unlawfully?Slide7
Slide8

Legal RiskLegal – observed behaviourStricter laws between countries or changes in laws/high profile lawsuits: lower UFS (e.g.

Adermon and Liang, 2011, Danaher et al., 2012, Walls, 2008)Legal - intentions/stated behaviourMixed evidence that legal consequences reduce UFS

Severity reduces UFS (Levin, Dato-on & Manolis, 2007); no effect (Morton & Koufteros, 2008)Likelihood reduces UFS (Chiang &

Assane, 2007; Cox, Collins & Drinkwater, 2010 ); no effect (Morton & Koufteros, 2008)Slide9

Knowledge, Anonymity & SkillLegal knowledge

Knowledge decreases UFS (Hietanen & Räsänen, 2009); no effect (Fetscherin, 2009)People are unaware of what is or is not lawful (

Ofcom, 2011)The ability to feel anonymous may affect UFS (Kwong & Lee, 2002; Plowman & Goode, 2009)Technical skill may increase UFS – internet experience increases UFS (e.g.

Phau & Ng, 2010) one mechanism may be the ability to avoid detection.Slide10

Social and Experiential acceptabilitySocial acceptability predicts UFS intention (E.g. D’Astous

, Colbert & Montpetit, 2005)Experiential acceptability - quality of download correlates with intention to stop and likelihood of punishment (La Rose et al., 2005)Slide11

Moral acceptabilityUFS “did not feel like a crime” (BMRB Social Research, 2011) Law and moral acceptability are not the same (

Svensson and Larsson, 2009)Moral acceptability – intention (music)Ethical beliefs predict intention to download (Lysonski &

Durvasula, 2008); no effect (Chen, Shang & Lin, 2008)Slide12

Financial AcceptabilityLegal PricesIncreased price decreases sales and increased UFS (

Sandulli, 2007 ); no effect (Andersen & Frenz, 2010)Willing to PayGreater WTP is associated with a preference for legal media (Hsu & Shiue

, 2008)Slide13

Item ScalesUFS behaviour (T2) categorised as any or on unlawful downloading in the past two months

4-item Intention: “Over the next two months I intend to download e-books unlawfully for my own personal use” (α = .937/.953).3-item Risk Likelihood: “If I were to download e-books unlawfully I think it is likely I would be caught” (α = .722/.675).3-item Dread “I feel worried when I think about the risk of being caught for unlawful downloading” (α = .823/.829).Slide14

Item Scales2-item Perceived Knowledge: “It is pretty easy to tell when downloading an ebook

is unlawful or not” (α = .782/.818).4-item Perceived Online Anonymity: “When you are on the internet you feel free to act in way you normally would not” (α = .667/.668).2-item Ability to Avoid Detection: “I would not know how to reduce chances of being caught unlawfully downloading e-books” (α = .599/.587)Slide15

Item Scales2-item Social Acceptability: “I think if my friends knew I downloaded

ebooks unlawfully my friends would think I was cheap” (α = .834/.849).Single-item Experiential measure: ““Unlawful copies of music are not as good as the legal versions” (reverse-scored)11-item Moral Acceptability: “It is always unethical to download e-books without authorisation” (α = .919/.931).4-item Financial Acceptability: “I think getting books for free is a good reason to download e-books unlawfully” (α = .804/.860).Slide16

Books

737

Music

658

1543 attempted T2 (74% response rate)

41 failed to complete

19 participants withdrew

88 removed for demographic inconsistencies between T1 & T2

2 monthsSlide17

Participants have all downloaded a media file in the past year

Music

eBooksN

658737

Age (16-82)45.0

(15.8)

46.3

(15.6)

UFS

118/658

93/737

Gender

346

women

396 women

Participants recruited by market research company to be representative

of UK population.Slide18

Perceived Knowledge

Ability to Avoid Detection

Online anonymity

Financial Acceptability

Experiential Quality

Moral Acceptability

Social Acceptability

Perceived Legal Risk Likelihood

R

2

= .20

Perceived Dread

R

2

= .46

Music

Intention

R

2

= .47

Behaviour

R

2

= .24

Easy to tell if illegal

Know how to avoid being caught

-.11

-.15

Internet is private

.22

-.23

Fileshare

is immoral

-.28

-.49

-.24

.11

.31

.35

.32

.13

Quality is as good as legal...

-.11

.13

Beta > 1Slide19

Perceived Knowledge

Ability to Avoid Detection

Online anonymity

Financial Acceptability

Experiential Quality

Moral Acceptability

Social Acceptability

eBooks

Easy to tell if illegal

-.10

Know how to avoid being caught

-.14

-.18

Deindividuation

Internet is private

.15

-.23

Fileshare

is immoral

-.24

-.39

-.22

.13

.18

.26

.27

.32

.14

-.11

Quality is as good as legal...

Perceived Legal Risk Likelihood

R

2

= .23

Perceived Dread

R

2

= .37

Intention

R

2

= .31

Behaviour

R

2

= .12

Beta > 1Slide20

Key points eBooks vs MusiceBooks – knowledge more important to risk

eBooks – online anonymity more important (beta .09 for music, intention)Music – money matters for behaviour Music - moral acceptability is more important for dread and intention (and dread via intention)eBook intention is driven relatively more by risk and anonymity whereas Music by financial and moral eBook more calculative, music more feelings-based?Slide21

Conclusions

Perceived Financial, Moral and Risk factors predict intention, which predicts Unlawful File Sharing (UFS)

Risk is less important than moral and financial considerationseBooks ≠ digital MusicThis may be a less mature marketIt may be a different type of consumptionThe sample may be differentSlide22

Thanks to:Steven Watson, Daniel Zizzo, Harriet Miller, Eliza Patouris, The CREATe

teamSlide23

Appendix

1

2

3

4

5

6

7

8

9

10

books

intent

1

UFS

2

.283**

Knowledge

3

-.124**

-0.049

Avoid detection

4

.327**

.101**

-0.019

Anonymity

5

.318**

.140**

-.069*

.220**

Moral Acceptability

6

.505**

.164**

-.166**

-.435**

.279**

Social Acceptability

7

.283**

.072*

-.134**

.289**

.123**

.656**

Financial Benefit

8

.507**

.193**

-.170**

.355**

.355**

.625**

.414**

Quality

9

0.004

-0.062

-0.008

0.05

0.019

.136**

.145**

0.035

Dread

10

-.234**

-0.039

-0.007

-.369**

-.138**

-.516**

-.473**

-.250**

-.164**

Risk Likelihood

11

-0.049

-0.002

-.100**

-.243**

-.095**

-.334**

-.362**

-.134**

-.154**

.416**Slide24

1

2

3

4

5

6

7

8

9

10

music

intent

1

UFS

2

.436**

Knowledge

3

-.162**

-.111**

Avoid detection

4

.329**

.168**

-0.003

Anonymity

5

.328**

.187**

-0.06

.189**

Moral Acceptability

6

.642**

.342**

-.205**

.358**

.339**

Social Acceptability

7

.419**

.212**

-.097**

.235**

.191**

.662**

Financial Benefit

8

.595**

.353**

-.249**

.264**

.351**

.692**

.514**

Quality

9

.172**

.093*

-.069*

.075*

0.019

.251**

.200**

.141**

Dread

10

-.429**

-.205**

.077*

-.337**

-.175**

-.604**

-.526**

-.359**

-.259**

Risk Likelihood

11

-.087**

-.078*

-.089**

-.168**

-.119**

-.301**

-.344**

-.097**

-.156**

.400**