Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Data collection method 
:
Participant Observation or
Quantitative Collection Methods or
Quantitative data/text mining or
Snowball sampling or
Unstructured Interview
& Data industry:
Creative, arts and entertainment
:
Participant Observation or
Quantitative Collection Methods or
Quantitative data/text mining or
Snowball sampling or
Unstructured Interview
& Data industry:
Creative, arts and entertainment Click on one or more items below to narrow your results.
Author:
Year:
Related to:
Discipline:
Data Type:
Secondary Data Source:
Data collection method: (Click arrow to add another value)
Data analysis method:
Cluster analysis (4) ·
Correlation and Association (15) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (33) ·
Discourse Analysis (5) ·
Ethnographic/narrative analysis (4) ·
Factor Analysis (1) ·
Grounded Theory (1) ·
Legal Analysis (19) ·
Multivariate Statistics (11) ·
Qualitative Analysis Methods (39) ·
Qualitative Coding / Sorting (e.g. of interview data) (14) ·
Quantitative Analysis Methods (54) ·
Quantitative content analysis (e.g. text or data mining) (30) ·
Regression Analysis (17) ·
Social Network Analysis (2) ·
Structural Equation Modeling (4) ·
Textual Content Analysis (19) ·
Visual / Other Content Analysis (2)
Country:
Africa (1) ·
Australia (7) ·
Austria (1) ·
Brazil (2) ·
Canada (5) ·
China (2) ·
Denmark (1) ·
Estonia (1) ·
Europe (1) ·
European Union (11) ·
France (3) ·
Germany (8) ·
Global (8) ·
Italy (3) ·
Japan (1) ·
Latin America (1) ·
Mexico (1) ·
Multiple (1) ·
Russia (1) ·
Singapore (2) ·
South Africa (1) ·
South Korea (1) ·
Spain (1) ·
Switzerland (1) ·
The Netherlands (3) ·
United Kingdom (27) ·
United States (48) ·
Unknown (1)
Time period of data collection:
Funder:
Amedeo Piolatto acknowledges financial support from IVIE, the Spanish Ministry of Science and Innovation (Grant ECO2009-12680), the Barcelona GS Research Network and the Generalitat de Catalunya (Grant 2009 SGR 102). (1) ·
Arts and Humanities Research Council (1) ·
Australia Council for the Arts (1) ·
Authors’ Licensing & Collecting Society (ALCS) (1) ·
Batten Institute (1) ·
Centre National de la Recherche Scientifique (CNRS) (1) ·
Commonwealth of Australia (1) ·
Economic and Social Research Council (ESRC) (grant RES-173-27-0220) (1) ·
European Commission (1) ·
European Parliament (1) ·
German Institute for Economic Research (1) ·
Google (2) ·
H2020 reCreating Europe (1) ·
HM Government (1) ·
HM Treasury (2) ·
IPO (4) ·
Intellectual Property Office (5) ·
International Intellectual Property Alliance (1) ·
JISC (1) ·
National Science Foundation (1) ·
None stated (1) ·
Not stated (8) ·
Portuguese Foundation of Science and Technology (1) ·
Queen Elizabeth Scholar programme (1) ·
RCUK/CREATe (1) ·
The National Academies of the Sciences (1) ·
The authors acknowledge the George Mason University’s Center for the Protection of Intellectual Property and its Leonardo da Vinci Research (1) ·
The study was funded by the UK Authors’ Licensing & Collecting Society (ALCS) (1) ·
This Report was prepared for APRA AMCOS, PPCA, Copyright Agency│Viscopy, Foxtel, News Corp Australia and Screenrights. (1) ·
University of Houston Law Center’s Institute for Intellectual Property & Information Law’s 2012-2013 Sponsored Scholarship Grant for the Legal Academy (1) ·
University of Virginia Darden School of Business (1) ·
Wikipedia Free Knowledge Advocacy Group (1) ·
openAir - African Innovation Research (1) ·
the International Development Research Centre (IDRC) (1) ·
the Social Sciences and Humanities Research Council Canada (1)
Fundamental Issues:
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (55) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (38) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (9) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (30) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (31)
Evidence Based Policies:
A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) (36) ·
B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (24) ·
C. Mass digitisation/orphan works (non-use; extended collective licensing) (6) ·
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) (29) ·
E. Fair remuneration (levies; copyright contracts) (24) ·
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (36)
Data sample size:
Data unit of assessment:
Data material year:
1/03/2013-13/04/2013 (1) ·
1770-1900 (1) ·
1870-2006 (1) ·
1975 to 2000 (1) ·
1978 to 2005 (1) ·
1984 to 1999 (1) ·
1984 to 2013 (1) ·
1984-2011 (1) ·
1988 (1) ·
1989-2014 (1) ·
1994-2014 (1) ·
2000-2012 (1) ·
2001-2012 (1) ·
2002 to 2008 (1) ·
2003-2007 (1) ·
2004 to 2011 (1) ·
2005 to 2008 (1) ·
2006 (4) ·
2006-2013 (1) ·
2007 (1) ·
2008 (1) ·
2008 to 2009 (1) ·
2008-2012 (1) ·
2009 (2) ·
2010 (4) ·
2011 (3) ·
2011 to 2015 (1) ·
2012 (1) ·
2012 – 2013 (1) ·
2013 (4) ·
2014 (9) ·
2015 (2) ·
2017 – 2018 (1) ·
January - April 2014 (1) ·
Non stated (1) ·
Not stated (4) ·
Not-stated (1) ·
The cut-off date for analysis is the end of the 2008 calendar year, although some 2009 data has been included where available and appropriate. (1) ·
january 2008 (1)
Data industry: (Click arrow to add another value)
Showing below up to 92 results in range #1 to #92.
View (previous 250 | next 250) (20 | 50 | 100 | 250 | 500)
A
B
- BOP Consulting and DotEcon (2015)
- Balganesh, Manta and Wilkinson-Ryan (2014)
- Ballon and Westermann (2006)
- Batikas, Claussen and Peukert (2019)
- Beebe (2008)
- Bellégo and Nijs (2020)
- Brassell and Goodyer (2015)
- Brauneis and Oliar (2016)
- Buccafusco (2012)
- Buccafusco and Masur (2013)
- Buccafusco and Sprigman (2010)
- Buccafusco, Burns, Fromer and Sprigman (2014)
C
- Cantatore (2014)
- Charness and Daniela (2014)
- Cheliotis (2007)
- Chen and Png (2003)
- Chen and Puttitanun (2005)
- Collopy, Bastian, Drye, Koempel, Lewis, Jenner (2014)
- Cotropia and Gibson (2014)
- Cuntz (2018)
- Cuntz (2020)
D
E
E cont.
F
G
H
- Haefliger, Jäger and Von Krogh (2010)
- Handke (2011)
- Handke (2015)
- Handke, Girard and Mattes (2015)
- Hansen, Hashimoto, Hinze, Samuelson and Urban (2013)
- Hargreaves (2011)
- Heald, Erickson and Kretschmer (2015)
- Humphreys (2008)
I
- IP Crime Annual Report (2015-2016)
- IP Crime Annual Report (2016-2017)
- IP Crime Annual Report (2017-2018)
- Intellectual Property Office (2014)
- Intellectual Property Office (2015a)
J
K
- Karaganis and Urban (2015)
- Korn (2009)
- Kretschmer (2011)
- Kretschmer (2012)
- Kretschmer and Hardwick (2007)
- Kretschmer, Bently, Singh and Cooper (2011)
- Ku, Sun and Fan (2009)
L
L cont.
M
N
O
P
R
S
- Sag (2013)
- Sag (2015)
- Sarikakis, Krug and Rodriguez-Amat (2017)
- Seng (2014)
- Sepetys and Cox (2009)
- Silbey (2014b)
- Siwek (2009)
- Sprigman, Buccafusco and Burns (2013)
T
V
W
