ჯგუფური ქცევის გავლენა ინდივიდუალურ ეკონომიკურ გადაწყვეტილებებზე

Group behavior is a multifaceted and noteworthy phenomenon. The purpose of this study is to spark more interest in the economic effects of group behavior. Due to its specificity, the study synthesizes the results of social psychology, sociology and economics studies. An exhaustive list of key factors affecting group behavior is provided, as well as a Bayesian model with bounded rationality for describing the phenomenon. This model eliminates problems inherent in other group behavior models. The model takes into account the impact of both informational and normative conformism. The formation of group behavior is a different process for different groups, as it is influenced by group size, concensus, composition, confidentiality, member responsibility, accountability, culture, self-esteem and security. An experiment was conducted within the framework of the study, confirming the widespread prevalence of group behavior. The experiment also confirmed the advantages of the proposed theoretical model over earlier models and the need to incorporate social psychology studies to better explain economic processes. As it turned out people often resort to heuristics instead of rational decision making when comparing two alternatives, though some people do not take into account others' decisions at all. Group behavior analysis cannot be complete without considering interconnections between individuals that can be described with networks. A person can only observe actions of a certain part of society because human resources and capabilities are limited. It is therefore important to study social networks in terms of different network structures and their parameters. Taking into account different indicators observed on the network enables one to determine how strong an individual’s influence is on other members of the network. In this respect, it is important to note the popularity, relevance (connections), reach and brokerage/bridging of members. Conducting computer simulations on four types of networks - random, single-hub, ...