Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Year :
1985 or
1998 or
2005 or
2008 or
2019
& Data collection method :
Qualitative content/text mining or
Quantitative data/text mining or
Survey Research (quantitative; e.g. sales/income reporting)
& Data industry:
Cultural education
Click on one or more items below to narrow your results.
Aboyade, Aboyade and Ajala (2015) (1) ·
Astle and Muir (2002) (1) ·
Aviiles and Cuenca (2016) (1) ·
Aviles (2017) (1) ·
Bertoni, Guerrieri and Montagnani (2017) (1) ·
Bishoff and Smith (2015) (1) ·
Corbett (2011) (1) ·
Giblin (2018) (1) ·
IPO (2012) (1) ·
Igudia (2016) (1) ·
Masenya (2018) (1) ·
Morrison (2018) (1) ·
Ngulube (2012) (1) ·
Okere, Adam and Sanusi (2016) (1) ·
Okiy (2005) (1) ·
Secker and Morrison (2017) (1) ·
Sigauke and Nengomasha (2011) (1) ·
Smith (2015) (1) ·
Stobo, Deazley and Anderson (2013) (1) ·
Tella and Oyeyemi (2017) (1) ·
Vuopala (2010) (2)
Descriptive statistics (counting; means reporting; cross-tabulation) (4) ·
Legal Analysis (2) ·
Qualitative Analysis Methods (1) ·
Qualitative Coding / Sorting (e.g. of interview data) (3) ·
Quantitative Analysis Methods (1) ·
Quantitative content analysis (e.g. text or data mining) (1) ·
Textual Content Analysis (1)
IdeaLab Research Group (The Complutense University of Madrid) (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)
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (2) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (1) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (1) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (4)
B. Exceptions (distinguish innovation and public policy purposes; open-ended/closed list; commercial/non-commercial distinction) (2) ·
C. Mass digitisation/orphan works (non-use; extended collective licensing) (3) ·
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability) (2) ·
F. Enforcement (quantifying infringement; criminal sanctions; intermediary liability; graduated response; litigation and court data; commercial/non-commercial distinction; education and awareness) (2)
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