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The Nature of Corruption in the Republic of Armenia. Its Impact on Human Behaviour and Human Development
Tadevosyan, Diana ; Frič, Pavol (advisor) ; Gawthorpe, Steven (referee)
Systemic corruption has fierce impacts on human development. Research indicates that systemic corruption in Armenia has invaded into all the sectors of social life and has transformed society making from it a comfortable environment for existence. Human development, social structure, human resources, public way of thinking, opportunities are constrained by the limitations and restriction put by corrupt system. This paper provides a comprehensive study of the systemic nature of corruption and its consequences, the picture of socio-cultural attitude to the corruption through analysing public perceptions, and analyses the connection between corruption, corrupt behaviour and human development. Keywords Corruption, social perceptions, human development, opportunities, corrupt behaviour, social capital.
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Rethinking Corruption in the Czech Republic: A Mixed-Methods Approach to a Systemic Problem
Gawthorpe, Steven ; Frič, Pavol (advisor) ; Sičáková Beblavá, Emília (referee) ; Pavel, Jan (referee)
Systemic corruption is a common term amongst scholars and practitioners, yet there is sparse conceptual agreement and substantive analysis within the discourse. Regardless of the current deficit, there is considerable pioneering space and advantages to contrast against the overwhelming emphasis on individuals. This paper aims to broaden the conceptual scope of systemic corruption research through a pattern-to-process mixed-methods design. The design combines empirical data from the public procurement sector analyzing the spatiotemporal patterns of network behavior with a descriptive account of processes from in-depth interviews. The empirical approach statistically distinguishes the performance differentials of public procurement awards amongst firms that exhibit the characteristics of political influence from those that do not. This paper operationalizes that political influence is corruption when a public official would not have made the same decision without the special consideration of political affiliation, contribution, or network connection. After stripping away explanatory factors for firm competence, the data reveals that firms with influence characteristics win substantially more and more often performing similar work. The usage of geospatial cluster analysis, in conjunction with field...
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