Меры риска как критерии выбора при вероятностной неопределенности
Implementation of IT and program projects seems to be very complicated and taught process, associated with many uncertainties and risks. Sure, this does not mean the rejection of such projects, supposed the more responsibility for the decision making process of new information technologies implementation. To manage various problems which face project managers, it makes sense to use special risk management software. The functionality of modern risk management systems allows identifying risk occurrence, conducting scenario modeling, take the more appropriate managing decisions based on scenario analysis and mathematical calculations. All these functionality will support project manager to optimize his business activities in accordance to risk management practices and ensure better coordination and balance inside the project team. Currently there available a wide range of project management software, but it is reasonable to conduct some analysis in terms of applicability to specific IT projects. The author will review the most appropriate software solutions for the risk management in IT area, conduct competitive analysis and provide some recommendations on software selection.
This book presents open optimization problems in graph theory and networks. Each chapter reflects developments in theory and applications based on Gregory Gutin’s fundamental contributions to advanced methods and techniques in combinatorial optimization.
Researchers, students, and engineers in computer science, big data, applied mathematics, operations research, algorithm design, artificial intelligence, software engineering, data analysis, industrial and systems engineering will benefit from the state-of-the-art results presented in modern graph theory and its applications to the design of efficient algorithms for optimization problems.
Topics covered in this work include:
· Algorithmic aspects of problems with disjoint cycles in graphs
· Graphs where maximal cliques and stable sets intersect
· The maximum independent set problem with special classes
· A general technique for heuristic algorithms for optimization problems
· The network design problem with cut constraints
· Algorithms for computing the frustration index of a signed graph
· A heuristic approach for studying the patrol problem on a graph
· Minimum possible sum and product of the proper connection number
· Structural and algorithmic results on branchings in digraphs
· Improved upper bounds for Korkel--Ghosh benchmark SPLP instances
The ACRN Journal of Finance and Risk Perspectives (JoFRP) is a strictly academic, double-blind peer reviewed international e-journal, by the ACRN Oxford Research Centre, UK. All article abstracts are indexed in the SSRN database, the social science research network, in EBSCO, and are searchable through Google Scholar. It is included in the h-Index and impact calculations. The journal is listed in the Cabell Quality Publishing Database, which is typically relevant for tenure track evaluations.
This journal is special because it aims to provide an outlet for inter-disciplinary and more in-depth research papers with various methodological approaches. The target group of this journal are academics who want to get a better understanding of the interconnectedness of their fields by acknowledging the methods and theories used in closely related areas.
The JoFRP thus aims to overcome the self-imposed paradigmatic boundaries and reflexive isomorphisms of the individual, typically rather narrow fields and invites new and combined perspectives from the fields of Finance, Risk and Accounting. Despite its methodological, topical and disciplinary openness - it does so with a strong focus on academic rigor and robustness. All articles will be strictly double-blind peer reviewed and authors are frequently invited to discuss the ramifications of their articles in the global FRAP conferences.
Narrative functions very greatly and are studied in a wide interdisciplinary spectrum. However, one of the functions of the narrative have not yet been studied in detail and therefore deserves a special attention. This is an alarm function: narratives can not only reconstruct past events, but they can also warn on the possible danger, predict the future events and simulate the reactions of recipients. In theoretical narratology, this function is perceived with caution: narrative is usually considered as a form referring to the past. At the same time, the applied research shows that narratives could be actively involved in the practices of predicting the future. This mechanism is largely based on the collective memory. The article deals on the problem of narrative representation of risk and its relation to collective memory.
The possibility of using the category of "value community" in the study of risk is analyzed. On the example of the "psychophysical numbing" studies we try to show the possible contribution of sociology based on utilizing the resources of functionalism and of "folk sociology" approach.
The present article contains a description of new method of royalty calculation based on analysis of risk decrease generated by franchisor's intellectual assets transmitted to franchises.
The article discusses the productivity of using the naïve theories of communities in the study of the social aspects of risk. We identify existing and future research directions. We also discuss the question of what aspects of risk and risk perception can potentially depend upon naïve perceptions of the communities. A brief description of the main approaches to the study of lay theories communities is also given.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.