Browse data: Studies
From Copyright EVIDENCE
Choose a category:
- Studies (909)
Studies > Year :
1982 or
1984 or
2005 or
2008 or
2014
& Data collection method:
Quantitative data/text mining
& Data material year:
2003-2005
Click on one or more items below to narrow your results.
Astle and Muir (2002) (1) ·
Atkinson Roberts (2004) (1) ·
Beebe (2008) (1) ·
Carroll (2004) (1) ·
Corbett (2011) (1) ·
Garner (2005) (1) ·
Ginsburg (1995) (1) ·
Harbaugh and Khemka (2001) (1) ·
Johnstone (1985) (1) ·
Kettler and Towse (2002) (1) ·
Landes and Posner (1989) (1) ·
Lesk (2004) (1) ·
Light (2005) (1) ·
Netanel (2011) (1) ·
Novos and Waldman (1984) (1) ·
Ofcom Kantar survey (1) ·
Oheler (2004) (1) ·
Oliar and Matich (2013) (1) ·
Sag (2012) (1) ·
Stobo, Deazley and Anderson (2013) (1) ·
Vuopala (2010) (1) ·
Yoon (2001) (1)
B41: Economic Methodology (1) ·
D12: Consumer Economics: Empirical Analysis (1) ·
D7: Analysis of Collective Decision-Making (1) ·
K11: Property Law (1) ·
K41: Litigation Process (1) ·
K42: Illegal Behavior and the Enforcement of Law (2) ·
L1: Market Structure; Firm Strategy; and Market Performance (1) ·
L82: Entertainment • Media (3) ·
L86: Information and Internet Services • Computer Software (1) ·
O33: Technological Change: Choices and Consequences • Diffusion Processes (2) ·
O34: Intellectual Property and Intellectual Capital (4) ·
O38: Government Policy (2) ·
Other (6) ·
None (1)
Descriptive statistics (counting; means reporting; cross-tabulation) (1) ·
Legal Analysis (2) ·
Qualitative Analysis Methods (3) ·
Qualitative Coding / Sorting (e.g. of interview data) (1) ·
Quantitative Analysis Methods (4) ·
Quantitative content analysis (e.g. text or data mining) (4) ·
Textual Content Analysis (3)
Bruce Miller (1) ·
Hellen Posner (1) ·
Henry Posner jr. (1) ·
Million Book Project (1) ·
Research Councils UK (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 authors acknowledge the George Mason University’s Center for the Protection of Intellectual Property and its Leonardo da Vinci Research (1) ·
WHO (1)
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (5) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (1) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (2) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (6) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (2)
B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (1) ·
C. Mass digitisation/orphan works (non-use; extended collective licensing) (2) ·
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) (3) ·
E. Fair remuneration (levies; copyright contracts) (1) ·
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (5)
Advertising (1) ·
Architectural (1) ·
Creative, arts and entertainment (1) ·
Cultural education (1) ·
Film and motion pictures (3) ·
Libraries, archives, museums and other cultural activities (2) ·
Photographic activities (2) ·
Publishing of books, periodicals and other publishing (2) ·
Software publishing (4) ·
Sound recording and music publishing (3) ·
Specialised design (1) ·
Television programmes (2)
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