Difference between revisions of "Ilevbare (2008)"

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{{Source  
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{{MainSource
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|Source={{Source
 
|Name of Study=Ilevbare (2008)
 
|Name of Study=Ilevbare (2008)
|Author=Ilevbare, F. M.
+
|Author=Ilevbare, F. M.
 
|Title=Psychosocial factors influencing attitudes towards internet piracy among Nigerian university students
 
|Title=Psychosocial factors influencing attitudes towards internet piracy among Nigerian university students
 
|Year=2008
 
|Year=2008
 
|Full Citation=ILEVBARE, F. M. 2008. Psychosocial factors influencing attitudes towards internet piracy among Nigerian university students. IFE Psychologia: An International Journal, 16, 120-129.
 
|Full Citation=ILEVBARE, F. M. 2008. Psychosocial factors influencing attitudes towards internet piracy among Nigerian university students. IFE Psychologia: An International Journal, 16, 120-129.
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|Authentic Link=http://search.proquest.com/openview/bc35a2b62b1e571c31d76e1e7f9d410a/1?pq-origsite=gscholar
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|Description of Data=Interviews with 250 participants. A total of two hundred and fifty participants were drawn through accidental sampling technique for this study. Their age ranged between 19-48 years. In all, one hundred and forty (140) representing 56%) of the total sample size were male with the remaining one hundred and ten (110) 44% were females.
 +
Furthermore, one hundred and seventy (170) representing 68% of the participants were from the Yoruba ethnic groups, twenty (20) repressing 8% were Igbos, ten (10) representing 4% of the total sample size were Hausas, while the remaining fifty (50) representing 20% of the total sample size were from other minority ethnic groups in Nigeria. One hundred and forty one (141) representing 56.4%) had bachelor’s degree as their highest level of education, twenty-six (26) reprising 10.4%) had NCE/OND as their highest level of educational qualification, fifty six (56) representing 22.4% of the participants had master’ as their highest level of education, while the remaining twenty eight (28) representing 10.8% did not indicate their highest
 +
level of educational qualification.
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|Data Year=2008
 +
|Data Type=Primary data
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|Method of Collection=Survey Research (quantitative; e.g. sales/income reporting), Quantitative data/text mining, Snowball sampling, Survey Research (qualitative; e.g. consumer preferences), Case Study, Semi-Structured Interview, Qualitative content/text mining
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|Method of Analysis=Quantitative content analysis (e.g. text or data mining), Confirmatory Factor Analysis (CFA), Textual Content Analysis
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|Industry=Software publishing (including video games);
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|Country=Nigeria;
 +
|Cross-country=No
 +
|Comparative=No
 +
|Government or policy=No
 +
|Literature review=No
 +
}}
 +
|Dataset=
 
}}
 
}}

Revision as of 15:32, 20 October 2016

Advertising Architectural Publishing of books, periodicals and other publishing Programming and broadcasting Computer programming Computer consultancy Creative, arts and entertainment Cultural education Libraries, archives, museums and other cultural activities

Film and motion pictures Sound recording and music publishing Photographic activities PR and communication Software publishing Video game publishing Specialised design Television programmes Translation and interpretation

1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare 2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? 3. Harmony of interest assumption between authors and publishers (creators and producers/investors) 4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) 5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)

A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) C. Mass digitisation/orphan works (non-use; extended collective licensing) D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) E. Fair remuneration (levies; copyright contracts) F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)

Source Details

Ilevbare (2008)
Title: Psychosocial factors influencing attitudes towards internet piracy among Nigerian university students
Author(s): Ilevbare, F. M.
Year: 2008
Citation: ILEVBARE, F. M. 2008. Psychosocial factors influencing attitudes towards internet piracy among Nigerian university students. IFE Psychologia: An International Journal, 16, 120-129.
Link(s): Definitive
Key Related Studies:
Discipline:
Linked by:
About the Data
Data Description: Interviews with 250 participants. A total of two hundred and fifty participants were drawn through accidental sampling technique for this study. Their age ranged between 19-48 years. In all, one hundred and forty (140) representing 56%) of the total sample size were male with the remaining one hundred and ten (110) 44% were females.

Furthermore, one hundred and seventy (170) representing 68% of the participants were from the Yoruba ethnic groups, twenty (20) repressing 8% were Igbos, ten (10) representing 4% of the total sample size were Hausas, while the remaining fifty (50) representing 20% of the total sample size were from other minority ethnic groups in Nigeria. One hundred and forty one (141) representing 56.4%) had bachelor’s degree as their highest level of education, twenty-six (26) reprising 10.4%) had NCE/OND as their highest level of educational qualification, fifty six (56) representing 22.4% of the participants had master’ as their highest level of education, while the remaining twenty eight (28) representing 10.8% did not indicate their highest level of educational qualification.

Data Type: Primary data
Secondary Data Sources:
Data Collection Methods:
Data Analysis Methods:
Industry(ies):
Country(ies):
Cross Country Study?: No
Comparative Study?: No
Literature review?: No
Government or policy study?: No
Time Period(s) of Collection:
  • 2008
Funder(s):

Abstract

Main Results of the Study

Policy Implications as Stated By Author

Coverage of Study

Coverage of Fundamental Issues
Issue Included within Study
Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare
Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)?
Green-tick.png
Harmony of interest assumption between authors and publishers (creators and producers/investors)
Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption)
Green-tick.png
Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media)
Green-tick.png
Coverage of Evidence Based Policies
Issue Included within Study
Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right)
Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction)
Mass digitisation/orphan works (non-use; extended collective licensing)
Green-tick.png
Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
Fair remuneration (levies; copyright contracts)
Green-tick.png
Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness)
Green-tick.png

Datasets