Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Discipline 
:
E22: Capital • Investment • Capacity or
L: Industrial Organization or
L: Industrial Organization or
O33: Technological Change: Choices and Consequences • Diffusion Processes or
O34: Intellectual Property and Intellectual Capital
& Data collection method:
Quantitative data/text mining
& Evidence Based Policies:
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
:
E22: Capital • Investment • Capacity or
L: Industrial Organization or
L: Industrial Organization or
O33: Technological Change: Choices and Consequences • Diffusion Processes or
O34: Intellectual Property and Intellectual Capital
& Data collection method:
Quantitative data/text mining
& Evidence Based Policies:
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) Click on one or more items below to narrow your results.
Author:
Year:
Related to:
Discipline: (Click arrow to add another value)
Data Type:
Secondary Data Source:
Data collection method: (Click arrow to add another value)
Data analysis method:
Cluster analysis (3) ·
Confirmatory Factor Analysis (CFA) (1) ·
Correlation and Association (10) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (24) ·
Discourse Analysis (4) ·
Ethnographic/narrative analysis (2) ·
Grounded Theory (1) ·
Legal Analysis (17) ·
Meta-Analysis (1) ·
Multivariate Statistics (2) ·
Qualitative Analysis Methods (22) ·
Qualitative Coding / Sorting (e.g. of interview data) (5) ·
Quantitative Analysis Methods (40) ·
Quantitative content analysis (e.g. text or data mining) (35) ·
Regression Analysis (8) ·
Social Network Analysis (1) ·
Structural Equation Modeling (2) ·
Textual Content Analysis (19) ·
Visual / Other Content Analysis (1)
Country:
Time period of data collection:
Funder:
Alfred P. Sloan Foundation (1) ·
Authors’ Licensing & Collecting Society (ALCS) (1) ·
Bruce Miller (1) ·
Center for Global Partnership (1) ·
Center for the Analysis of Property Rights and Innovation (CAPRI) (1) ·
Centre National de la Recherche Scientifique (CNRS) (1) ·
Comissioned for and sponsored by the National Recording Preservation Board, Library of Congress (1) ·
Commonwealth of Australia (1) ·
Congressional Research Service (1) ·
Economic and Social Research Council (ESRC) (grant RES-173-27-0220) (1) ·
European Commision (1) ·
European Commission (2) ·
European Grouping of Societies of Authors and Composers (1) ·
Hellen Posner (1) ·
Henry Posner jr. (1) ·
IPO (1) ·
Intellectual Property Office (1) ·
JISC (1) ·
Million Book Project (1) ·
Naval Academy Research Council Grant (1) ·
None (1) ·
Not stated (3) ·
Portuguese Science and Technology Foundation (1) ·
Robert William University Research Foundation (1) ·
The Finnish Academy (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) ·
University of Houston Law Center’s Institute for Intellectual Property & Information Law’s 2012-2013 Sponsored Scholarship Grant for the Legal Academy (1) ·
WIPO (2) ·
We
thank
the
National
Human
Genome
Research
Initiative
for
a
generous
grant
supporting
this
work (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 (44) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (12) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (16) ·
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) (18)
Evidence Based Policies: (Click arrow to add another value)
Data sample size:
Data unit of assessment:
Data material year:
Data industry:
Computer programming (1) ·
Creative, arts and entertainment (10) ·
Cultural education (8) ·
Film and motion pictures (14) ·
Libraries, archives, museums and other cultural activities (7) ·
Photographic activities (3) ·
Programming and broadcasting (4) ·
Publishing of books, periodicals and other publishing (20) ·
Software publishing (13) ·
Sound recording and music publishing (17) ·
Specialised design (2) ·
Television programmes (8)
Showing below up to 55 results in range #1 to #55.
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A
B
- Baker and Cunningham (2006)
- Bechtold (2013)
- Bellégo and Nijs (2020)
- Bjork (2012)
- Bradley, Kolev (2023)
- Brooks (2005)
C
- Cave, Deegan and Heinink (2000)
- Cheliotis (2007)
- Cohen, Nelson and Walsh (2000)
- Condry (2004)
- Corbett (2011)
- Cuntz and Bergquist (2020)
D
D cont.
E
F
G
H
- Handke, Guibault and Vallbe (2015)
- Heald (2014a)
- Heald (2017a)
- Hudson and Kenyon (2007)
- Humphreys (2008)
I
J
K
L
M
M cont.
- Mendis, Secchi and Reeves (2015)
- Moreno and Sepúlveda (2021)
- Morrison and Secker (2015)
- Mustonen (2005)
N
P
- Peukert, Claussen and Kretschmer (2015)
- Picard, Toivonen and Grönlund (2003)
- Png and Wang (2006)
- Pollock (2009)
R
T
V
W
Y
Z
