Browse data: Studies
From Copyright EVIDENCE
Choose a category:
- Studies (908)
Studies > Data collection method :
Archival Research or
Case Study or
Document Research or
Qualitative Collection Methods or
Quantitative data/text mining or
Structured Interview
& Data industry:
Creative, arts and entertainment
Click on one or more items below to narrow your results.
Author:
Related to:
Discipline:
Secondary Data Source:
Cluster analysis (5) ·
Correlation and Association (16) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (32) ·
Discourse Analysis (12) ·
Ethnographic/narrative analysis (7) ·
Factor Analysis (2) ·
Grounded Theory (5) ·
Legal Analysis (35) ·
Multivariate Statistics (9) ·
Qualitative Analysis Methods (63) ·
Qualitative Coding / Sorting (e.g. of interview data) (25) ·
Quantitative Analysis Methods (52) ·
Quantitative content analysis (e.g. text or data mining) (31) ·
Regression Analysis (11) ·
Social Network Analysis (2) ·
Structural Equation Modeling (3) ·
Textual Content Analysis (34) ·
Visual / Other Content Analysis (3)
Africa (1) ·
Australia (10) ·
Austria (1) ·
Belgium (1) ·
Brazil (1) ·
Canada (9) ·
China (2) ·
EU (2) ·
Europe (2) ·
European Union (14) ·
France (6) ·
Germany (10) ·
Global (11) ·
India (1) ·
Ireland (2) ·
Italy (3) ·
Japan (2) ·
Korea (2) ·
Mexico (1) ·
Norway (1) ·
Philippines (1) ·
Prussia (1) ·
Singapore (1) ·
South Africa (2) ·
South Korea (1) ·
Spain (2) ·
Switzerland (1) ·
The Netherlands (3) ·
Turkey (1) ·
United Kingdom (38) ·
United States (60)
Time period of data collection:
Funder:
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (70) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (53) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (15) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (40) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (43)
A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) (47) ·
B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (34) ·
C. Mass digitisation/orphan works (non-use; extended collective licensing) (8) ·
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) (36) ·
E. Fair remuneration (levies; copyright contracts) (32) ·
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (48)
Data unit of assessment:
Data material year:
Showing below up to 124 results in range #1 to #124.
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A
B
- BOP Consulting and DotEcon (2015)
- Balganesh, Manta and Wilkinson-Ryan (2014)
- Batikas, Claussen and Peukert (2019)
- Beebe (2008)
- Bellégo and Nijs (2020)
- Bently (2002)
- Brassell and Goodyer (2015)
- Brauneis and Oliar (2016)
- Buccafusco and Masur (2013)
C
- Cantatore (2014)
- Cheliotis (2007)
- Chen and Png (2003)
- Chen and Puttitanun (2005)
- Collopy, Bastian, Drye, Koempel, Lewis, Jenner (2014)
- Cotropia and Gibson (2014)
D
- Danna, Martinelli and Nuvolari (2021)
- Deazley (2008)
- Depoorter (2019)
- Depoorter and Walker (2013)
- Dusollier (2010)
E
- EPO and OHIM (2013)
- Erickson, Heald, Homberg, Kretschmer and Mendis (2015)
- Erickson, Kretschmer and Mendis (2013)
- European Commission (2011a)
F
- Fagundes and Perzanowski (2019)
- Fauchart and Hippel (2006)
- Favale (2020)
- Fiesler, Feuston and Bruckman (2015)
- Fiesler, Lampe, and Bruckman (2016)
- Fietkiewicz (2020)
- Ford (2014)
G
- Ghafele (2010)
- Giannoumis and Beyene (2020)
- Giorcelli and Moser (2015)
- Gowers (2006)
- Greenhalgh, Phillips, Pitkethly, Rogers and Tomalin (2010)
H
H cont.
- Handke and Towse (2007)
- Handke, Girard and Mattes (2015)
- Hansen, Hashimoto, Hinze, Samuelson and Urban (2013)
- Hargreaves (2011)
- Heald, Erickson and Kretschmer (2015)
- Heredia-Carroza, Palma and Aguado (2023)
- 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)
- Intellectual Property Office (2015b)
J
K
- Kalimo, Meyer and Mylly (2018)
- Karaganis and Urban (2015)
- Kawohl and Kretschmer (2003)
- Kaye and Gray (2021)
- Kheria (2012)
- Kheria (2013)
- Kim (2007)
- Korn (2009)
- Kretschmer (2011)
- Kretschmer (2012)
- Kretschmer and Hardwick (2007)
- Kretschmer, Derclaye, Favale and Watt (2010)
- Kretschmer, Klimis, and Choi (1999)
- Ku, Sun and Fan (2009)
L
M
- Madden (2004)
- Max Planck Institute (2013)
- McRobbie, Strutt, Bandinelli and Springer (2016)
- Mezei and Harkai (2022)
- Miceli and Adelstein (2006)
O
P
- Pappalardo, Aufderheide, Stevens, and Suzor (2017)
- Penney (2017)
- Perritt (2011)
- Perzanowski (2013)
- Piolatto and Schuett (2012)
- PricewaterhouseCoopers (2016)
Q
R
- Rainie and Madden (2004)
- Raustiala and Sprigman (2006)
- Reda (2015)
- Reid (2021)
- Ricketson (2003)
- Robinson and Montgomery (2000)
- Rogers, Corrigan, and Tomalin (2010)
S
- Sag (2012)
- Sag (2013)
- Sag (2015)
- Sag (2017)
- Sarikakis, Krug and Rodriguez-Amat (2017)
- Sepetys and Cox (2009)
- Sinnreich and Latonero (2013)
- Siwek (2009)
- Sprigman (2017)
T
- Tanner (2004)
- Tatum, Spoo and Pope (2009)
- Throsby (2008)
- Throsby and Petetskya (2017)
- Throsby and Zednik (2010)
- Tor and Oliar (2002)
- Towse (2018)
U
- United States Copyright Office (2013a)
- United States Copyright Office (2013b)
- United States Copyright Office (2015b)
V
W
- Waelde and Schlesinger (2011)
- Waelde, Kheria and Levin (2015)
- What the Online Piracy Data Tells Us About Copyright Policymaking
Z