Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Data Type:
Primary and Secondary data 
& Data collection method:
Qualitative Collection Methods
& Data collection method:
Qualitative Collection Methods Click on one or more items below to narrow your results.
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Secondary Data Source:
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Data analysis method:
Cluster analysis (1) ·
Correlation and Association (4) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (10) ·
Discourse Analysis (4) ·
Ethnographic/narrative analysis (4) ·
Grounded Theory (3) ·
Legal Analysis (9) ·
Multivariate Statistics (3) ·
Qualitative Analysis Methods (68) ·
Qualitative Coding / Sorting (e.g. of interview data) (10) ·
Quantitative Analysis Methods (39) ·
Quantitative content analysis (e.g. text or data mining) (5) ·
Regression Analysis (5) ·
Social Network Analysis (1) ·
Structural Equation Modeling (2) ·
Textual Content Analysis (17) ·
Visual / Other Content Analysis (3)
Country:
Time period of data collection:
Funder:
Alfred P. Sloan Foundation (3) ·
Arts and Humanities Research Council (1) ·
Australia Council for the Arts (1) ·
Centel Foundation/Robert P. Reuss Faculty Research Fund (1) ·
Centre for Copyright and New Business Model in the Creative Economy (CREATe) (1) ·
City University of Hong Kong (1) ·
EIFL (1) ·
European Commission (1) ·
German Institute for Economic Research (1) ·
Google (1) ·
HM Government (1) ·
HM Treasury (1) ·
IPO (1) ·
Intellectual Property Office (5) ·
John D. Evans Foundation (1) ·
National Research Council (NRC) Committee on the Impact of Copyright Policy on Innovation in the Digital Era (1) ·
National Science Council, Taiwan (1) ·
National Science Foundation (3) ·
None (1) ·
Not stated (2) ·
OHIM (1) ·
Olin and Bradley Foundations, Merck, Microsoft and Pfizer (1) ·
Organisation for Economic Cooperation and Development (1) ·
RCUK (1) ·
Sloan Foundation (1) ·
The Creators’ Rights Alliance (1) ·
The Pew Charitable Trusts (1) ·
This research is an ESRC, AHRC and IPO funded research project in the form of a placement fellowship. The fellowship places the researcher (Dr. Searle) in the Economics, Research and Evidence Team at IPO offices in London. This work was supported by the Economic and Social Research Council (grant number RES-173- 27-0219). It occurred in conjunction with the Scottish Funding Council funded Moving Targets project. (1) ·
Toulouse Network on Information Technology (1) ·
University of East Anglia (1) ·
University of Georgia Law School (1) ·
WIPO (3) ·
Western New England College School of Law (1) ·
World Intellectual Property Organization (1) ·
∗Support for this research by NBER’s Economics of Digitization and Copyright Initiative is gratefully acknowledged. (1)
Fundamental Issues:
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (43) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (18) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (8) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (19) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (49)
Evidence Based Policies:
A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) (20) ·
B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (18) ·
C. Mass digitisation/orphan works (non-use; extended collective licensing) (14) ·
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) (22) ·
E. Fair remuneration (levies; copyright contracts) (9) ·
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (41)
Data sample size:
Data unit of assessment:
Data material year:
Data industry:
Advertising (1) ·
Computer consultancy (2) ·
Computer programming (5) ·
Creative, arts and entertainment (19) ·
Cultural education (14) ·
Film and motion pictures (21) ·
Libraries, archives, museums and other cultural activities (4) ·
Photographic activities (3) ·
Programming and broadcasting (3) ·
Publishing of books, periodicals and other publishing (30) ·
Software publishing (19) ·
Sound recording and music publishing (31) ·
Specialised design (2) ·
Television programmes (11) ·
Translation and interpretation (2)
Showing below up to 79 results in range #1 to #79.
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A
B
- Benkler (1999)
- Bently (2002)
- Bockstedt, Kauffman and Riggins (2004)
- Branstetter, Fisman and Foley (2006)
- Brassell and Goodyer (2015)
- Buss and Peukert (2015)
C
D
E
F
G
- George (2005)
- Giorcelli and Moser (2015)
- Goel, Miesing and Chandra (2010)
- Goolsbee and Petrin (2004)
- Gordon (1982)
- Gowers (2006)
H
H cont.
I
- IP Crime Annual Report (2013-2014)
- IP Crime Annual Report (2015-2016)
- IP Crime Annual Report (2016-2017)
- Intellectual Property Office (2015a)
J
K
L
- Landes and Lichtman (2003)
- Liebowitz (2005)
- Liebowitz (2006a)
- Liebowitz and Margolis (2005)
- Liebowitz and Watt (2006)
- Lipinski and Kritikos (2017)
M
O
P
Q
R
R cont.
S
- Sag (2012)
- Scotchmer (2011)
- Searle (2011)
- Seng (2009)
- Sims (2019)
- Sinnreich and Aufderheide (2015)
- Somaya and Grahan (2006)
- Stannard (2015)
- Stratton (2011)
- Sunstein, Jolls and Thaler (1998)
T
U
V
W
- Waelde and Schlesinger (2011)
- Waelde, Kheria and Levin (2015)
- Wang and Zhu (2003)
- Watson, Zizzo and Fleming (2015)
- Willoughby (2013a)
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