Шут, Петрушка, Дурак... (Ипостаси трикстера в российской политической коммуникации)
The Trickster archetype takes one of the key places not only in the history of culture, but also in the political and communication systems of nowadays. It finds a visible embodiment both in the informal political communication and in the institutionalized communication models. The article discusses the main forms of manifestation of this archetype in the images of Russian political leaders, its possible modifications, as well as the role of contemporary media in the replication of the image.
The existence of a relationship between internal image of organization and employees’ commitment is demonstrated, and some interesting peculiarities of the correlations are revealed. It is established that the factor structure of the internal image is similar in different organizations, but the importance of different factors for employees varies depending on the particular type of organization. Affective commitment has closer ties with internal image of organization than other components of commitment. There are some universal correlations which are typical for every organization, for example, the correlation between the factor “Social Security” of internal image and affective commitment. On the other hand, there are some correlations between components of commitment and internal image that are specific only for one of the investigated organizations. We can conclude that there is correlation between internal image and organizational commitment, but it is mediated by organizational factors.
The paper considers linguistic and cross-cultural features of speech strategy and tactics in political texts.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.