Система управленческого контроля с использованием трансфертных цен
The paper consists of three main sections. The first is devoted to a discussion of the "state capitalism" concept and the reasons for the growing interest to this phenomenon. It is proposed here to consider the state capitalism not only in terms of the state ownership in major national industrial enterprises and banks, but also taking into account the efficiency of SOEs. In the second section, the new data on the state involvement in the Russian economy are represented, including the shares of the state in the authorized capital of the largest industrial enterprises and banks. Their economic indicators are compared. Contrary to some assumptions P / E values for national champions are lagging behind the average for emerging markets. The third section examines the hypothesis that one of the major challenges faced by the state capitalism is the development of investment incentives for SOEs and their performance. It is shown that the interests of the state as an owner of business enterprises are often in conflict with the interests of the state as a social institution. A number of examples are demonstrated. In order to solve this problem the state should reduce its stakes in SOEs except for those that are of strategic importance. The output of the analysis is that the state capitalism as a social phenomenon has no a long-term perspective. Most of so called “state capitalist” countries will take in future the path of traditional mixed market economy.
The Working Paper examines the peculiarities of the Russian model of corporate governance and control in the banking sector. The study relies upon theoretical as well as applied research of corporate governance in Russian commercial banks featuring different forms of ownership. We focus on real interests of all stakeholders, namely bank and stock market regulators, bank owners, investors, top managers and other insiders. The Anglo-American concept of corporate governance, based on agency theory and implying outside investors’ control over banks through stock market, is found to bear limited relevance. We suggest some ways of overcoming the gap between formal institutions of governance and the real life.
The authors propose new approach to self-organization of complex distributed systems in logistics. That approach is based on combination of multi-agent paradigm with constraint satisfaction techniques. The proposed solution expresses major features of Swarm Intelligence approach and replaces traditional stochastic adaptation of the swarm of the autonomous agents by constraint-driven adaptation.
In this article we describe a system allowing companies to organize an efficient inventory management with 40 suppliers of different products. The system consists of four modules, each of which can be improved: demand planning, inventory management, procurement planning and KPI reporting. Described system was implemented in a real company, specializing on perishable products totaling over 600 SKUs. The system helped the company to increase its turnover by 7% while keeping the same level of services.