Browse data: Studies
From Copyright EVIDENCE
Choose a category:
- Studies (909)
Studies > Year :
2019 or
Other
& Evidence Based Policies:
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
& Data industry :
Creative, arts and entertainment or
Cultural education or
Translation and interpretation
Click on one or more items below to narrow your results.
Author:
Related to:
Discipline:
Secondary Data Source:
Archival Research (3) ·
Case Study (13) ·
Document Research (10) ·
Ethnography (2) ·
Experimental (Natural) (1) ·
Focus Groups (2) ·
Historical Methods (2) ·
Longitudinal Study (3) ·
Participant Observation (1) ·
Qualitative Collection Methods (39) ·
Qualitative content/text mining (11) ·
Quantitative Collection Methods (33) ·
Quantitative data/text mining (20) ·
Semi-Structured Interview (23) ·
Snowball sampling (1) ·
Structured Interview (3) ·
Survey Research (qualitative; e.g. consumer preferences) (23) ·
Survey Research (quantitative; e.g. sales/income reporting) (21) ·
Unstructured Interview (3) ·
Web analytic (online user trace data) (5)
Cluster analysis (1) ·
Confirmatory Factor Analysis (CFA) (1) ·
Correlation and Association (6) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (24) ·
Discourse Analysis (6) ·
Ethnographic/narrative analysis (4) ·
Factor Analysis (1) ·
Grounded Theory (5) ·
Legal Analysis (18) ·
Multivariate Statistics (5) ·
Qualitative Analysis Methods (39) ·
Qualitative Coding / Sorting (e.g. of interview data) (24) ·
Quantitative Analysis Methods (28) ·
Quantitative content analysis (e.g. text or data mining) (21) ·
Regression Analysis (9) ·
Social Network Analysis (1) ·
Structural Equation Modeling (2) ·
Textual Content Analysis (27) ·
Visual / Other Content Analysis (1)
Country:
Time period of data collection:
Australia Council for the Arts (1) ·
Authors’ Licensing & Collecting Society (ALCS) (1) ·
Canadian Association of Research Libraries (1) ·
Centre National de la Recherche Scientifique (CNRS) (1) ·
Commonwealth of Australia (1) ·
Economic and Social Research Council (1) ·
Economic and Social Research Council (ESRC) (grant RES-173-27-0220) (1) ·
European Commission (3) ·
European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 611988 (1) ·
German Institute for Economic Research (1) ·
Google (1) ·
IPO (3) ·
Intellectual Property Institute (1) ·
International Intellectual Property Alliance (1) ·
JISC (1) ·
John D. Evans Foundation (1) ·
Mellon Foundation (2) ·
National Museum Directors’ Council (1) ·
National Research Foundation of Korea (2016R1A2A1A05005270) (1) ·
None stated (1) ·
Not stated (6) ·
Open Society Institute (1) ·
OpenDataMonitor Project (1) ·
Pew Internet and American Life Project (1) ·
RCUK/CREATe (1) ·
SABIP (1) ·
The Social Sciences and Humanities Research Council of Canada for the doctoral fellowship and the Association of Colleges and Research Libraries for the Doctoral Dissertation Fellowship that covered the costs of data collection. (1) ·
The author gratefully acknowledges the generous support of the New Zealand Law Foundation for this research project. (1) ·
The study was funded by the UK Authors’ Licensing & Collecting Society (ALCS) (1) ·
U.K. Economic and Social Research Council grant number ES/K008137/1 (1) ·
United States Copyright Office (1) ·
University of Houston Law Center’s Institute for Intellectual Property & Information Law’s 2012-2013 Sponsored Scholarship Grant for the Legal Academy (1) ·
WIPO (1) ·
Wellcome Trust (1) ·
Wikipedia Free Knowledge Advocacy Group (1) ·
World Intellectual Property Office (1) ·
World Intellectual Property Organization (1)
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (62) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (21) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (18) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (36) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (29)
Data unit of assessment:
Data material year:
Showing below up to 84 results in range #1 to #84.
View (previous 250 | next 250) (20 | 50 | 100 | 250 | 500)
A
B
- Baghestan et al. (2019)
- Ballon and Westermann (2006)
- Belleflamme, Omrani and Peitz (2015)
- Bellégo and Nijs (2020)
- Breyer (1970)
C
- Castañer and Campos (2002)
- Cave, Deegan and Heinink (2000)
- Cheliotis (2007)
- Collections Trust (2015)
- Corbett (2011)
D
- De Beer and Bouchard (2010)
- Denoyelle et al (2018)
- Depoorter and Walker (2013)
- Dickson (2010)
- Dryden (2008)
E
F
G
G cont.
H
- Haefliger, Jäger and Von Krogh (2010)
- Handke and Towse (2007)
- Handke, Girard and Mattes (2015)
- Haveman and Kluttz (2014)
- Heimstädt, Saunderson and Heath (2014)
- Hill (2013)
- Hooper and Lynch (2012a)
- Hooper and Lynch (2012b)
- Hudson and Kenyon (2007)
- Humphreys (2008)
J
K
- Kapsalis (2016)
- Karaganis and Urban (2015)
- Kelly (2013)
- Kheria (2012)
- Kheria (2013)
- Kim (2007)
- Korn (2009)
- Kretschmer (2011)
- Kretschmer and Hardwick (2007)
- Kretschmer, Bently, Singh and Cooper (2011)
- Kretschmer, Derclaye, Favale and Watt (2010)
- Kretschmer, Klimis, and Choi (1999)
- Kuchma (2011)
L
L cont.
M
- Madden (2004)
- Max Planck Institute (2013)
- McRobbie, Strutt, Bandinelli and Springer (2016)
- Monroy Rodríguez (2009)
- Morrison and Secker (2015)
N
O
P
S
- Sag (2013)
- Secker, Gadd and Morrison (2019)
- Seng (2014)
- Sinnreich et al. (2020)
- Siwek (2009)
- Stratton (2011)
T
U
V
W
X
Z