Декан — Рогова Елена Моисеевна
ул. Кантемировская д. 3, корп. 1, лит. А
+7 (812) 644-59-11 доб.
доб. 61515 (менеджмент)
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 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.
This chapter reports on services created and implemented by a writing center in a large public university in the USA to assist to pre-service teachers and in-service teachers with academic writing as professional development activities while they are pursuing their degrees. Academic writing is a style of written communication that has become acceptable in institutions of higher education (Craswell, 2005). The services include: 1) a series of workshops to teach the requirements of the Publication Manual of the American Psychological Association (American Psychological Association [APA], 2010), 2) a series of workshops around conceptualizing a research project and submitting a paper to a conference, 3) writing support circles, and 4) individual consultations. The chapter provides a description of each of this service, including the purpose and the design, highlights outcomes of these professional development services, and discusses challenges in its design and implementation.