Forecasting social behavior in the crisis conditions of Russian society: the possibilities of methodological design
Прогнозирование социального поведения в кризисных условиях российского социума: возможности методического конструирования
Alexander V. Maksimovich (Максимович А.В.)
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Alexander V. Maksimovich (Максимович А.В.): South-Russia Institute of Management – branch of Russian Presidential Academy of National Economy and Public Administration
State and Municipal Management Scholar Notes, 2024, vol. 2, 302-306
Abstract:
The article examines the problem of forecasting social behavior in the crisis conditions of Russian society. Before proceeding to the consideration of this issue, the author analyzes the concept of social forecasting, highlights its main functions and stages, and notes that forecasting is associated with anticipating the direction of development of a certain social phenomenon in the future, which is realized by transferring to it ideas about how this phenomenon develops in the present. The author notes that in the conditions of the crisis state of functioning of Russian society, the value of information obtained through social forecasting techniques is manifested in the role that this information plays in determining the goals of state anti-crisis policy, the management system of socio-economic processes as a whole. After that, the author proceeds to consider the main methods of forecasting social behavior, indicates that the practice of social forecasting indicates the expediency of using combined methods, which is especially relevant in relation to forecasting social behavior. It is concluded that it is necessary to use various forecasting methods, which can make it possible to determine the dynamics of social behavior in crisis conditions with the highest degree of probability.
Keywords: forecasting; social forecasting; society; social risk; social uncertainty; risk society; social behavior (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:rnp:smmscn:s24241
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