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Dean — Elena Rogova
The structure of the applied theory of the logistics systems design and planning continues to evolve in the circumstances of supply chain integration. The synchronization of material, service, information, and intellectual flows offers new opportunities for cross-disciplinary analysis. The article considers the development of conceptual framework, as well tactical and operational levels (e.g. existing terms and definitions, economic indicators, methods and models) that are applied in the research on the creation of value nets in terms of their flexibility, speed and reliability.
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.
Purpose – Nowadays, the focus on supporting knowledge workers is very significant and on the first place, there is a need to support the knowledge intensive processes – processes of reasonable and right decision-making. These processes can be improved by implementation of knowledge management tools that allows of reducing the cost of gathering and disseminating knowledge. The problem the author works with here is: How organizations can successfully use case management for forming corporate knowledge. The purpose of this paper is consideration of the issues of ICT and information systems (IS) applications for supporting of knowledge-oriented case management and improve quality of client care.
Design/methodology/approach – Scientific methodology of the research rests upon system approach, complex and comparative analysis. In this stage of the study, the author uses the research method based on literature review, analysis of large volumes of information, and findings of investigations in the field of knowledge management tools successful implementation for knowledge intensive processes supporting and improving quality of client care.
Originality/value – Original contribution of the work is analysis and classification of case management tools, used for knowledge workers support. The research also considers the cultural aspect related to the case management practical application. The implementation of CM systems requires consolidation of infrastructure and people to understand the impact of modern technologies on everyday business practices and the need for data management and analysis.
Practical implications – Currently adaptive case management systems are used actively in the following areas:
- Complex services provision in health care, jurisprudence, finance, reporting and informational support, conduct of client affairs;
- Development of complex products and conducting marketing campaigns;
- Social sphere and social initiatives, etc.
Case management solution based on Business Process Management (BPM) technology provides the best way for support of capturing, gathering, sharing, and retrieval of knowledge for knowledge workers within a business processes. Systems of BPM and Enterprise Content Management (ECM) with specific support for knowledge-intensive processes can be discussed as a more appropriate optimal decision to case management. Moreover, case management system can combine the best features of several classes of information systems.
Cosmetic items do not provide functional advantages in games, but, nevertheless, they play an important role in the overall player experience. Possessing predominantly socially-constructed dimensions of value, cosmetic items are chosen, discussed, assessed, and valuated in an ongoing iterative collaborative process by communities of players. In our study, we explore the case of Dota 2 and apply Topic Modeling to community-discussions data gathered from Reddit.com. We describe social experiences related to the valuation of cosmetic items in interaction and collision of various logics, including artificial scarcity, decomposition of visual effects, and connectedness to the game lore. Our findings connect the collective experience of players in the game and on online community platforms, suggesting that non-utility-based social value construction becomes an important part of game experience.
The ability of social media to rapidly disseminate judgements on ethnicity and to influence offline ethnic relations creates demand for the methods of automatic monitoring of ethnicity-related online content. In this study we seek to measure the overall volume of ethnicity-related discussion in the Russian-language social media and to develop an approach that would automatically detect various aspects of attitudes to those ethnic groups. We develop a comprehensive list of ethnonyms and related bigrams that embrace 97 Post-Soviet ethnic groups and obtain all messages containing one of those words from a two-year period from all Russian-language social media (N=2,660,222 texts). We hand-code 7,181 messages where rare ethnicities are over-represented and train a number of classifiers to recognize different aspects of authors’ attitudes and other text features. After calculating a number of standard quality metrics, we find that we reach good quality in detecting intergroup conflict, positive intergroup contact, and overall negative and positive sentiment. Relevance to the topic of ethnicity and general attitude to an ethnic group are least well predicted, while some aspects such as calls for violence against an ethnic group are not sufficiently present in the data to be predicted.
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.
Variety of inventory management models known in logistics theory. Design of models for inventory management in a multi-level inventory placement systems are popular field of studies nowadays. One such model is Sven Aksater’s model. Like most models, it is applicable in cases where all the main parameters – demand per day, delivery time, the volume of orders, delay in logistic cycles and etc. – are deterministic. Obviously, in practice these parameters are random variables. The article presents two models for the economic order quantity calculation for two-leveled supply placements system, taking into account safety stocks and deficit at different levels, depending on the inventory management strategy – with fixed order amount or fixed time interval between adjacent orders.
This study explores the value creation and agent conflict in a company that employs intangibles. The conceptual model of value creation is used to test how intangibles affect companies' outperforming and simultaneously build investors' expectations. The research is carried out using a sample of more than 1,650 European companies covering the period from 2004 to 2011. The study reveals the diverse impact of intangibles on the outperforming of a company by Economic Value Added (EVA) and its ability to create market value (MVA). The study discovers that managers are prone to set positive signals for investors rather than create sustainable competitive advantages. This work contributes primarily to the field of corporate governance in companies that employ intangibles. The issues to be considered when designing rules and incentives for proper communication between managers and investors that drive both outperforming and sustainable value creation are emphasized.
Perception of higher educational institutions (HEIs) as engines for regional growth has preoccupied the minds of scholars and policymakers for a considerable timespan already, while the “Triple helix” model has marked the departure from an “ivory tower” university to a proactive entrepreneurial entity. Taking cue from the international trend umpteen political initiatives in Russia have emphasized government support aimed at augmenting “innovativeness” of universities and local industry. Moreover, imposed publication and R&D intensity requirements, higher salaries demanded by academic staff as well as student mobility have deemed purely teaching functions increasingly unsustainable. This poses a challenge for HEIs, especially in less innovative regions where the divergence between Academia and industry is quite pronounced and opportunities for technology transfer are limited due to relatively weak entrepreneurial milieux.
This research attempts to determine to what extent regional socio-economic conditions and absorptive capacity of local budiness modify innovation potential of mid-range HEIs and how the latter can contribute to regional and local innovation systems in less innovative Russian regions. The rest of this paper is structured as follows. The first section offers a regionalized perspective on HEIs’ entrepreneurial activities and links HEIs’ research performance to the overall level of innovative activity within the home region. In the following section methodology and data employed in the research are presented. The next section presents quantitative data analysis of Russian HEIs and discusses major findings. The penultimate part highlights the implications of the study and suggests solutions for mid-range HEIs, and the last part concludes.
Innovative and research activities within universities are increasingly linked with regional socio-economic conditions and innovative capacities of local business. In less innovative Russian regions, though, prospects for mid-range universities might be limited due to poor research quality and the lack of mutual trust between Academia and industry. In this paper university-level data are analysed in relation to regional innovative development. Despite gross heterogeneity within the sample, the findings suggest that research and commercialization propensities are likely to be shaped by the type of university, its proactive approach and internal structure rather than regional settings. Mid-range universities might consider less formal ways to contribute to regional innovation systems, which is more in line with ‘engaged’ rather than ‘entrepreneurial’ university approach.