|
|
Models of data flow governance and their followers: Why do countries adopt one framework over another?
Dubravčíková, Klára ; Parízek, Michal (advisor) ; Mazač, Jan (referee)
DUBRAVČÍKOVÁ, Klára. Models of cross-border data flow governance and their followers: Why do countries adopt one framework over another? Praha, 2022. 119 pages. Master's thesis (Mgr.). Charles University, Faculty of Social Sciences, Institute of Political Science. Department of International Relations. Supervisors Dr. rer. pol. Michal Parízek, M.Sc., Ph.D. & Junprof. Dr. Jan Vogler. Abstract Currently, there are three different regulatory models of cross-border data flow, produced by three dominant actors in the international system - the United States of America, the European Union, and the People's Republic of China. As all three actively convey their model to other countries, posing new challenges to the global economy associated with the models' incompatibility, other countries face a policy-choice dilemma on what model to adopt. Consequently, the issue of mapping how the three approaches to data governance spread across the globe and exploring the rationales of states that adopt one of the three models arises. The thesis turns to this question and uses logistic regression analysis to find a correlation between the adoption of a specific cross-border data flow governance model and three sets of predictors that characterise the economic, social, and power relations between proponent-adopter pairs....
|
guest ::
