Построение типологии компаний в системе организации мониторинга их практик менеджмента (на примере отечественной энергетики)
The notion that certain management practices at all levels create substantial competitive advantages for the company in the market received a lot of attention in the academic community over the years. A large body of work was accumulated as a result, though it appears that a comprehensive understanding of the relationship between management practices and firm performance is still lacking. This study is a part of a larger project aiming at closing this gap. The objective of this study was to create a typology of companies based on efficiency, using a number of objective criteria obtained from publicly available information.
Increased attention and focus has been laid on the strategic importance of intellectual capital for modern management. However, intangible resources appear difficult to measure. Today, there are several methods, both financial and nonfinancial ones that allow managing them, to provide benchmarking and analyze its value added function (Sveiby, 2007). The rare investigations of intellectual capital in Russian enterprises show that “Almost in all industries it is still more profitable to invest in tangible assets rather than in intangible ones” (Volkov, Garanina, 2007). Still, some investigations on the micro level show that there are enterprises with high level of technological capital and innovative activity. The researchers called them “innovative leaders” and empirically proved that they have high labour productivity and are awarded by market through extra profit (Gonchar et al., 2010). Using the research sample and Pulic’s Value Added Intellectual Coefficient (VAIC™) the authors investigate empirically the dynamics and structure of VAIC, and study the relation between the intellectual capital and indicators of organizational performance, such as labour productivity, sales growth and profitability. Additionally, the VAIC™ model allows analysing the role of human, structural and physical capital. This paper outlines the study based on 350 Russian industrial enterprises’ annual statistical and account reports from 2005 through 2007. Besides, the authors adopt the VAIC calculation according to the Russian accounting system’s specifications and limitations. The findings support the hypothesis that a company’s intellectual capital influences favourably the organizational performance, and may indicate future competitiveness. A proof showing that the explanatory power of models is higher when considering the additional variables such as investment in fixed capital, R&D expenditures and a company’s size is represented. The results extend the understanding of the intellectual capital role in creation of sustainable advantages for companies in developing economies where different technological advancements may bring different implications for organizational value creation efficiency.
This article studies the gender composition of corporate boards of Russian companies, including its relation to company performance. The analysis is based on a unique longitudinal dataset of virtually all Russian companies whose shares were traded on the stock market in 1998—2014. It shows a relatively small representation of women, just 12% of all the seats, while about 40% of the companies did not have any female director. At the same time, both the share of companies that appoint female directors and the share of female directors on boards show a clear upward trend. The econometric analysis suggests a positive link between the presence of female directors on boards and company performance, especially when firms appoint several, rather than one, female directors.
This study investigates whether economic freedom of a region drives firm performance. Despite the large number of papers about the relationship between economic freedom and growth, there is still little evidence on the role of economic freedom in performance of individual firms. We address this gap in the literature using hierarchical linear modelling, allowing us to investigate regional differences in company level performance. The dataset consists of information about 1096 companies combined with the Index of Economic Freedom for Russian regions during the period 2004 – 2014
The purpose of this paper is to present a comparative analysis of the contribution made by intellectual capital (IC) to company performance at company and industry levels in the Russian context. It examines the performance effect of IC using a multilevel approach.