Оценка эффективности стратегических направлений развития: параллели согласования на национальном и локальном уровнях управления
The paper considers the problem of the difference in the goals and objectives of strategic documents at the State level and a number of key municipalities - urban districts of Siberia. As an instrument chosen method of content analysis adopted legal documents (concepts) and the proposed matrix model, where the parallel comparisons show the possibility of harmonizing the interests of state and territory for long term strategic management in the system
This is a comparative international study of thr patterns od planning in local governments. WEhile strategic planning has been a field of interest for public management and administrative science for over half a century there are very few cross-national studies of the specifics of planning in local governmenets. The book analyses the planning activities of local authorities in 7 diverse countries: France, Hungary, Romania, Russia, Spain, Turkey and USA. Altough theoretical models of strategic planning are used, the book's findings point to a very diverse and interesting environment with cultural, political and legal factors playing a significant role in shaping how planning is done in each country.
The question was raised about methods of empirical verification for various technologies of strategic planning on the local level. The preliminary results of the case studies were examined that described the long-term consequences of strategic planning on the municipal level. The strong connection between the influence of the strategic plan on socio-economic development and the stability of the authority was shown.
The problems of the man are examined in the context of the state development, human inner world, and perception of historical events. The researcher has used their private sources such as diaries, memoirs and letters which reflect the levels of spiritual life and psychology of people living in individual historic ages.
Издава се в рамките на проект на ИНИ № К1-2015 "билейна международна научно-практическа конференция, посветена на 60-годишнината на катедра "Стратегическо планиране" на тема "Европейски практики и национални рефлексии в планирането" със средства от държавната субсидия за научна дейност на СА "Д.А. Ценов", съгласно Наредба №9 от 08.08.2003 г.
The article is concerned with results of content analysis of textbooks for high school in the area of social and human sciences. The author uses the typology of values introduced by S. Schwartz which consists of two value axes — “conservation — openness to change” and “selfassertion — caring about people and nature” — and describes values that underlie each subject area and then compares these values with results of mass surveys of the values of Russians.
There have been implemented engineering and development of multi-agent recommender system «EZSurf» that performs analysis of interests and provides recommendations for the social network «VKontakte» users based on the data from profile of particular user. During the work process different methods and technological solutions have been analyzed with examination of their advantages and disadvantages. Besides of that the comparative analysis of analogous products has been held where the most similar is Russian start-up service - Surfingbird. Based on this analysis the decision of recommender system implementation and integration has been accepted. The feature of this system is that it uses social network “VKontakte” profile for user’s data collection and API of third-party services (LastFM, TheMovieDB) for an extraction of information about similar objects. Such an approach contributes into optimization of recommender system, because it does not require creation of its own object classification system and objects database. The functionality of multi-agent system was separated between three agents. First agent (Collector) collects user data from “VKontakte” profile using VK API. Second agent (Analyzer) collects similar objects from databases of thitd-party services (LastFM, TheMovieDB) that will be the criteria for further search of recommendatory content. For search and selection of information an agent (Recommender) that works as web-crawler has been implemented. System «EZSurf» can be exploited by the users of social network “VKontakte” in everyday life for time economy on web-surfing process. At the same time they will get recommendations on content that are filtered depending on preferences of every particular user.
Book of abstracts of 13th International May Conference on Strategic Management – IMKSM17