The paper examines correlation in planning and organizing logistics of supplying goods and the issue of safety at urban roads; a model to determine the time of goods delivery is proposed on the basis of logistic concept “just-in-time” that takes into account the requirements of road safety on the one hand, and the customer-oriented approach of delivery, applied technologies and management solutions, on the other. The model is based on an integrated approach to the management of logistics processes; it can serve as a basis for decision making among departments in transport enterprises, logistics departments at industrial and trade enterprises, and corporate consumers. The paper also proposes to add the second level parameters to the system of logistics key performance indicators (KPI); these parameters would allow evaluating the target performance in goods transportation, as well as actual performance of logistics operations, including transportation in terms of road safety.
In this study we develop a model for early box office receipts forecasting that, in addition to traditionally used regressors, uses several inputs that have never been used before, but appeared to be very useful predictors according to our variable importance analysis. New predictors account for the power of actors and directors, as well as for the intensity of competition at the time of movie release. Instead of Motion Picture of Association of America (MPAA) ratings commonly used in movie success prediction, textual information about the reasons for giving a movie its MPAA rating was formalized using word frequency and principal components analyses. The expert system is based on the Random forest algorithm, which outperformed a stepwise regression and a multilayer perceptron neural network. A regression tree-based diagnostic approach allowed us to detect the heterogeneity of model accuracy across segments of data and assess the applicability of the model to different movie types.
The advent of personalized medicine and wide-scale drug tests has led to the development of methods intended to automatically mine and extract information regarding drug reactions from user reviews. For medical purposes, it is often important to know demographic information on the authors of these reviews; however, existing studies usually either presuppose that this information is available or disregard the issue. We study automatic mining of demographic information from user-generated texts, comparing modern natural language processing techniques, including extensions of topic models and deep neural networks, for this problem on datasets mined from health-related web sites.
This article provides new evidence on the structure, dynamics and performance effects of corporate boards in publicly traded companies in Russia. It takes advantage of a new and unique longitudinal dataset of virtually all Russian companies whose shares were traded in the RTS/MICEX/MOEX over 1998-2014. The analysis highlights a number of strong trends in the evolution of boards of directors, such as a declining participation of insider directors and an increasing participation of foreign and female directors. It also shows that board characteristics are linked to company performance (market-to-book ratio, Tobin's Q, ROE and ROA), suggesting that boards of directors play a non-trivial role in corporate governance in Russia. Testing for structural breaks in the relationship between board composition and firm performance provides some evidence of the changing role of corporate boards over time.
Purpose: The paper explores factors of the low competitiveness of Russian companies assuming that the gap in the endowment of intangible resources is responsible for the gap in competitiveness.
Design/Methodology: The framework of resources-based view is used to examine causality between the resources employed and competitiveness measured by Economic Value Added. Controlling for the most relevant factors, we place an emphasis on those intangible resources that are considered in the literature as being the most critical for Russian companies when contending for global competitiveness: productivity, strategic long-term orientation of companies, quality of human capital, innovative behaviour of companies, foreign investments, and corporate networks. The dataset of more than 1000 Russian companies benchmarked to the dataset of more than 1600 European companies during a period of 10 years: 2004-2013 is analyzed to test the hypothesis put forward.
Findings: Causal effect of the gap in intangible endowment and competitiveness of Russian companies compared with European rivals is revealed. According to our analysis, gaps in productivity, strategy implementation, qualifications of the board of directors and company location play critical roles in the global competitiveness of Russian companies. Meanwhile, underinvestment in structural resources, like those such as ERP systems and other intangible assets, are considered positive factors that reduce gaps in EVA.
Originality/value: The paper introduces original approach for studying the gap in performance caused by gap in employed resources.
The issue of capital city relocation is a topic of debate for more than forty countries around the world. In this first book to discuss the issue, Vadim Rossman offers an in-depth analysis of the subject, highlighting the global trends and the key factors that motivate different countries to consider such projects, analyzing the outcomes and drawing lessons from recent capital city transfers worldwide for governments and policy-makers.
This chapter seeks to provide a detailed account of the policy process that led to the adoption of the pension reform in Russia in 2001. Focusing on the major actors involved in the elaboration of the reform concept and their preferences, I show that the 2001 Russian pension reform appeared to be a compromise squared for the liberal insiders of Kasyanov’s government and, most of all, for Mikhail Dmitriev, a major driver and proponent of the market-oriented reform. As the 2000-2001 attempts to reform pensions in Russia were not the first of such endeavours, a previous attempt to introduce a model of privatization into the Russian pension system, carried out by the “young reformers” government in 1997-1998, is also examined in this chapter. This analysis helps us to identify the network of policy actors involved in the bargaining at the turn of the century (namely, distinguishing the “old” bureaucracy from the Ministry of Labour and the liberal reformers who were invited by Anatoly Chubais from the outside to elaborate the reform). Also, I show how the “window of opportunities” which opened when Vladimir Putin became the Russian president in spring 2000, in fact, limited the liberal reformers’ room for manoeuvre as the newly elected president chose to stake on the “old” bureaucracy as the backbone of the regime in the earliest stage of his presidency.
The article questions the structural approach to autocratic transition that sees government as knowingly and purposely building autocracy, and contributes to the tradition emphasizing the plurality of possible regime developments and the role of contingency therein, by providing a more systematic treatment of such contingency. We offer a path-dependent theory of political change and use insights from cognitive institutionalism to show how ad hoc policy reform practices become accepted as a trusted way of interaction by political actors and how they “learn” their way into autocracy. This intuition is substantiated with a case-study of the labour reform in Putin’s Russia. The early 2000s marked a surge in uncertainty in Russian politics caused by the succession crisis and the profound political turnover it triggered. This uncertainty could have resolved in a number of ways, each leading to a different political development. We trace the actual way out of this uncertainty and show that the major factor to condition further regime trajectory was the way social reforms were conducted. The course of these reforms determined the ruling coalition and the institutions that ensure credible commitment within its ranks (the dominant party), and contributed to crowding out the political market and opposition decay.
The article substantiates the concept of quantitative assessment of knowledge uncertainty in accident reconstruction tasks based on application of mathematical tools of the fuzzy set theory allowing considering an uncertainty of initial data caused for instance by varying resistance to the motion of investigated objects at the apex stages of the contact–separation processes. The application of the mathematical tools of the fuzzy set theory can substantially expand the potential of applying the methodology to the automobile and technical expertise and provide the enhancement of authenticity and improve the accuracy of making conclusions about the accident reconstruction results.