درخت حوزه‌های تخصصی

Today, due to the globalization of organizations and product diversity, product sales competition has become more important in the marketing of fast-moving consumer goods. Different strategies can be used to differentiate goods in retail stores. The importance of retailers of fast-moving consumer goods and its effect on consumer behavior prompted the researcher to investigate this issue. It should be noted that due to the prevailing culture in Iran (unlike abroad), Iranian retailers take responsibility for marketing their goods in stores. As a result, designing a marketing pattern for retailers of fast-moving consumer goods can have a significant effect on the prosperity of this market segment. In this research, through qualitative research method and interview, we designed the marketing model of retailers of fast-moving consumer goods and its effect on consumer behavior. First, by reviewing the theoretical literature and using the content analysis method from two ways, manually and using Max QDE software to the four main themes "Consumer factors in marketing, marketer tasks, store management and behavior "Consumer" achieved and the marketing model of retailers of fast-moving consumer goods and its effect on consumer behavior was designed based on theoretical studies and interviews with 10 retailers. Finally, suggestions were made to reduce the gap and achieve the desired situation.

The main goal of the given research is to conduct cross-cultural analysis of financial support mechanisms in Europe in order to develop practical recommendations, focused on SME recovery, for emerging markets, in particular Ukraine. The article examines the main effects of pandemic on economy, focusing on business disruption, in particular SME. The financial flows as a response on anti-pandemic prevention measures were analyzed all over the world through digital tools, namely BI, as well as differentiation of support measures. The general fall in the main macroeconomic indicators was indicated for European countries and the deep analysis of financial support mechanisms provided by states was conducted. Taking into account research results, it was revealed that complex policy mechanisms were developed mainly by advanced economies while emerging markets, in particular Ukraine, do not have the effective mechanisms aimed at eliminating negative effects of pandemic. So, on the basis of conducted analysis the practical recommendations for emerging markets, in particular Ukraine, were developed using relevant European experience

In many significant characteristics of the modern world, including particular industry, agriculture, and military applications, Wireless Sensor Networks (WSNs) have begun to emerge. Even though energy consumption is the greatest challenge confronting WSNs, it is essential to analyse the feasibility of the use of mobile components for the data collection on WSN networks. To collect information from their sensing terrain, WSNs use significant numbers of wireless sensor nodes. The method of acquiring data from the sensor nodes and forwarding this data to the node or base station is Data Collection (DC). In such methods, data collection is effective and efficient in data transfer for an extended WSN lifetime. The scientific and investigational analysis demonstrated that Routing Path Selection-DC has the robustness and low energy, is required to reduce the mobile sink's energy demand, which provides better results, and is adaptable dynamically to multiple situations, including the variance between the ground robot and the cost of energy. The research paper developed an approach that creates a data collection schedule that is collision-free where appropriate power limits are allocated and verifies its overall performance of virtual environment network latency.