The causes of corruption: towards theory of conceptual change. How can actor network state theory (ANST) provide current explanatory corruption reseach with a productive conceptual and theorical framework?

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dc.contributor.advisorVerloo, M.M.T.
dc.contributor.authorPauli, Daniella Gilian
dc.date.issued2015-08-31
dc.description.abstractCorruption remains an active and significant problem in many countries, whereas anti-corruption strategies do not present the required efficiency. The issue of corruption has encouraged an increased development of recent studies. As contemporary literature cannot fully grasp the abstract complexity of conceptual corruption, the current challenge of dealing with the explanatory problem of corruption continues. This thesis adds to existing literature with insights on a possible solution to this explanatory problem by providing a new theoretical approach to study corruption within a relational context. Influenced by an intensive literature review, the approach of Actor Network State Theory observes this phenomenon within a norm network of corruption in which successful collaboration between actors results in corruptive behavior. While data to analyze the new explanatory model is not available, a combination of snowball sampling and survey analysis offer an alternative data collection method conform to the Dutch case. The thesis ends with a discussion aimed at future research to bring the approach of Actor Network State Theory into practice and to examine its potential to unravel the explanatory problem of corruption.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/1182
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Managementwetenschappenen_US
dc.thesis.specialisationComparative Politicsen_US
dc.thesis.studyprogrammeMaster Political Scienceen_US
dc.thesis.typeMasteren_US
dc.titleThe causes of corruption: towards theory of conceptual change. How can actor network state theory (ANST) provide current explanatory corruption reseach with a productive conceptual and theorical framework?en_US
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