Browse data: Studies

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  • Studies (909)
Studies > Data Type: Secondary data & Data collection method : Experimental (Natural) or Quantitative data/text mining or Snowball sampling or Survey Research (quantitative; e.g. sales/income reporting)

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Author:
Year:
1984 (1) · 1985 (1) · 1993 (1) · 1995 (1) · 1998 (1) · 2000 (1) · 2002 (3) · 2003 (3) · 2004 (4) · 2005 (7) · 2006 (9) · 2007 (3) · 2008 (10) · 2009 (8) · 2010 (7) · 2011 (7) · 2012 (10) · 2013 (9) · 2014 (9) · 2015 (3) · 2016 (5) · 2017 (1) · 2018 (4) · 2019 (2) · 2020 (3) · 2023 (1)
Related to:
Discipline:
Data Type: (Click arrow to add another value)
Secondary Data Source:
Data collection method: (Click arrow to add another value)
Data analysis method:
Cluster analysis (3) · Correlation and Association (34) · Decision Tree Method (1) · Descriptive statistics (counting; means reporting; cross-tabulation) (52) · Discourse Analysis (3) · Grounded Theory (2) · Legal Analysis (7) · Meta-Analysis (2) · Multivariate Statistics (19) · Qualitative Analysis Methods (9) · Qualitative Coding / Sorting (e.g. of interview data) (4) · Quantitative Analysis Methods (71) · Quantitative content analysis (e.g. text or data mining) (33) · Regression Analysis (45) · Social Network Analysis (2) · Structural Equation Modeling (8) · Textual Content Analysis (4) · Visual / Other Content Analysis (1)
Country:
Cross country study:
No (55) · Yes (59)
Comparative study:
No (81) · Yes (33)
Literature review:
No (97) · Yes (12)
Government or policy study:
No (99) · Yes (10)
Time period of data collection:
Funder:
Alfred P. Sloan Foundation (1) · Australian Copyright Council (2) · Bowdoin College (1) · Center for the Analysis of Property Rights and Innovation (CAPRI) (1) · Congressional Research Service (1) · Department of International Trade, Chungnam National University (1) · Economic and Social Research Council (ESRC) (grant RES-173-27-0220) (1) · European Commision (1) · European Commission (3) · European Grouping of Societies of Authors and Composers (1) · Fulbright Senior Research grant (1) · Google (1) · Groupement Européen des Sociétés d’Auteurs et Compositeurs (1) · IPO (2) · International Intellectual Property Alliance (1) · NBER Innovation Policy Group and NET Institute (1) · National Science Foundation (2) · Naval Academy Research Council Grant (1) · None (7) · None stated (1) · Not Stated (1) · Not stated (5) · Portuguese Science and Technology Foundation (1) · Prepared at the request of Canadian Heritage/Canadian Government (1) · Robert William University Research Foundation (1) · Stanford Institute for Economic Policy Research (1) · The American Council on Consumer Interests (1) · The Finnish Academy (1) · The National Academies of the Sciences (1) · The second author has benefited from the visit to the Institute of Innovation Research of Hitotsubashi University, whose generous provision of research opportunity is gratefully acknowledged (1) · This Report was prepared for APRA AMCOS, PPCA, Copyright Agency│Viscopy, Foxtel, News Corp Australia and Screenrights. (1) · UCLA School of Law (1) · WIPO (3) · the KU Leuven PF program financing (1)
Fundamental Issues:
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (68) · 2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (27) · 3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (5) · 4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (54) · 5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (55)
Evidence Based Policies:
A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right) (35) · B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (10) · 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) (40) · E. Fair remuneration (levies; copyright contracts) (17) · F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (61)
Data sample size:
1 - 2 (11) · 2 - 11 (23) · 11 - 50 (16) · 50 - 300 (22) · 300 - 5,000 (14) · 5,000 - 30,000,000 (19)
Data unit of assessment:
Data material year:
Data industry:
Computer consultancy (1) · Computer programming (3) · Creative, arts and entertainment (23) · Film and motion pictures (37) · Programming and broadcasting (9) · Publishing of books, periodicals and other publishing (30) · Software publishing (37) · Sound recording and music publishing (63) · Specialised design (1) · Television programmes (17) · Video game publishing (1)

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