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Regular version of the site
Of all publications in the section: 211
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Article
Коровкина Н. Л., Фай М. С. Бизнес-информатика. 2014. № 3. С. 57-68.
This article presents an approach to developing a methodology for IT project investment feasibility estimation through establishing a link to company business drivers. Representing the factors enhancing the company value, business drivers enable to identify how strategic benefits from IT project implementation influence enterprise performance indicators. A business driver tree is based on the Val IT model, displacing the hierarchy of several financial factors that increase economic value added and being complemented by several industry- and company-specific nonfinancial factors, such as «internal optimization » and «ability to innovate». Thus an underlying basis is provided to evaluate strategic feasibility of pro ject investment. Such method of formulating potential benefits from information technologies (for IT) in business terms is regarded as a criterion for investment decision-making and complements the Value-Based Management concept. The paper argues that in a number of cases the adequate level of company business drivers coverage by a project can compensate for the negative value of expected financial benefits. The analysis of IT investment feasibility opportunities enables to build a decision-making matrix based on risk assessment, quantitative indicators and alignment with company priorities. Implementation of the recommendations formulated in the paper is intended to ensure a higher IT investments transparency and to achieve harmonization of business and IT. It also enables to take into account business specifics and to carry out a more comprehensive appraisal of IT investment-related effects that mitigates the risk of inaccurate cash flow estimation. The proposed approach has been successfully tested in assessment of a potential IT projects portfolio at a large Russian manufacturing company.
Added: Nov 26, 2014
Article
Ульянов М. В., Сметанин Ю. Г. Бизнес-информатика. 2020. Т. 14. № 2. С. 84-92.

In applied problems of business informatics related to data analysis (in particular, in the analysis and forecasting of time series, in the study of log files of business processes, etc.), problems of qualitative analysis arise. Qualitative analysis methods often use symbolic coding as a way of presenting information about the processes under study. In a number of situations, due to the fragmentation of such descriptions, the problem arises of reconstructing a complete symbolic description of a process (word) from its successive fragments (subwords). From the multiset of all subwords of a sufficiently large length, the original word is uniquely restored. In the case of insufficiently long subwords, several different reconstructions of the original word are possible. The number of feasible reconstructions can be reduced by determining the suffix and prefix of the reconstructed word. A method is proposed for determining the prefix and suffix of a word consisting of k – 1 symbols each on the basis of multiset of subwords of a fixed length equal to . We accept the hypothesis that this multiset is generated by a window of a fixed length of one symbol shift in an unknown word. The method for determining the prefix and suffix is based on the construction and analysis of the matrix formed by subwords from V written in rows in arbitrary order and the use of the operator acting on multisets of characters of the alphabet formed by neighboring columns of this matrix. The method is capable of determining the prefix a1 a2 ... ak – 1 and suffix b1 b2 ... bk – 1, if ai bi for any i from 1 to k – 1. If in the prefix and suffix ai bi only for some values of i, the characters in the corresponding positions are determined, and aj = bj for the remaining characters. In the worst case, the method concludes that for any i from 1 to , but does not determine the characters themselves. This is a situation in which the prefix and suffix coincide but cannot be determined.

Added: Dec 17, 2020
Article
Хачатрян Н. К., Акопов А. С., Белоусов Ф. А. Бизнес-информатика. 2018. № 1(43). С. 61-70.
Added: May 18, 2018
Article
Мальцева С. В., Грекул В. И., Никитин В. В. и др. Бизнес-информатика. 2009. № 1. С. 3-8.
Added: Jul 5, 2012
Article
Жарова А. К. Бизнес-информатика. 2011. № 3. С. 60-65.

 

In a relationship, involving the use of digital product in the Internet environment, involving different actors. There is legal classification of the subjects of service providers in the article.

There is comparative legal analysis of information legislation in Russia and U.S. and the Directive on electronic commerce EU 2000/31/EC conducted in the article. Points to the need for additional criteria in the current legal classification of service providers on the Internet related to the services provided and the functions performed.

Added: Sep 27, 2012
Article
Кириллов А. В., Фомичев В. А. Бизнес-информатика. 2011. № 1. С. 61-68.
Added: Sep 27, 2012
Article
Авдошин С. М., Шатилов М. П. Бизнес-информатика. 2007. № 2. С. 3-13.
Added: Mar 12, 2009
Article
Марон А. И., Кравченко Т. К., Шевгунов Т. Я. Бизнес-информатика. 2019. Т. 13. № 2. С. 18-28.

Large distributed information systems (LDIS) are the basis for digitization of production processes in industry, transport and public administration. Organization of their engineering servicing (ES) for timely restoration in case of failure is a topical issue of scientific research. LDIS consists of computer complexes which include both major and additional elements. The literature provides no solution which allows us to define the engineering servicing resources (ESR), considering the variable significance of elements of computer complexes. The task was first set and solved in this publication.

For solution of this task, we applied the mean dynamic method. This method was chosen because it makes it possible to obtain a system of differential equations for describing the change over time of the mean number of elements in different states.

Analysis of the differential equations system solution allowed us to find analytical expressions for determining ESR – the number of staff and the number of spare elements- at which the mean number of computer complexes in perfect state reaches its maximum. The results are applicable when calculating the ESR of real LDIS. They can also serve in simulation modeling as initial approximations of the optimal volume of ESR if it necessary to take into account the specific features of the system. In addition, the solution of differential equations makes it possible to solve the problem of optimizing the resources for servicing the LDIS according to economic criteria, when the costs of staff and spare elements are comparable with the income from operating the computer complexes.

Added: Jun 24, 2019
Article
Ласкин М. Б. Бизнес-информатика. 2018. Т. 3(45). С. 53-61.

The introduction of the cadastral value institute in the Russian Federation opens up new opportunities in the real estate evaluation. In this regard, the new focus for appraisers is the statistical analysis of multidimensional empirical distributions that were not previously available, because the real estate market does not have pairwise and multidimensional observations concentrated in unified databases. Data of interest to analysts is usually concentrated in different sources from different owners and belongs to different objects. The goal of combining them can be solved by comparing such data with the data of cadastral accounting, namely the cadastral number as a unique identifier of the object. Since the cadastral value corresponds to each cadastral number, it is possible to compare the cadastral value with important indicators such as the market price of the offer, the transaction price, the lease rate, the annual price indices, the capitalization rate, the discount rate, the discount on the auction and many other indicators, the formation of which involves more than two random variables. The construction of the model involves the principle of following the prices formed by pair comparisons to geometric Brownian motion, and hence the formation of logarithmically normal population. As it turned out, as a result of large-scale cadastral works carried out in the Russian Federation in 2014, the cadastral value is also subject to logarithmically normal distribution of prices (in each class of objects). For the market value (as the most probable price of the transaction in the conditions of perfect competition), this leads to functional dependencies on the cadastral value of the power type. Similarly, many other indicators will also be subject to dependencies in the form of power functions. Obviously, having a function depending on the various indicators of the cadastral value across the set of values, you can set the relationship between the various indicators, which was impossible before the introduction of the institute of cadastral value. This article proposes the method of calculation of the trade in real estate estimation based on the analysis of market statistics and databases of cadastral accounting. An analytical formula of the dependence of trade discounts from the offer price is proposed. The method allows us to set the level of the discount not only for objects included in the advertising database, but also for any object that has passed the cadastral registration.

Added: Feb 5, 2019
Article
Андреева А. В. Бизнес-информатика. 2012. Т. 4. № 22. С. 61-68.
Added: Dec 11, 2013
Article
Чеботарев В. Г., Бородина Е. Г., Григорьева Д. М. Бизнес-информатика. 2010. № 2. С. 54-59.
Added: Sep 28, 2012
Article
Таратухина Ю. В., Жаров В. К. Бизнес-информатика. 2014. № 2(28). С. 44-50.
The paper dwells on major specifics of an informational and educational environment operation in modern higher education. At present education is becoming increasingly open and accessible, not closing in on countries and states. And one of the key emerging issues is educational communication of various cultural groups in e-learning environments (ELE). The online transformation of a number of learning processes enables not only to make a learning process independent of territorial parameters, but also to ensure its flexibility in terms of learning schedule. However students of different cultural backgrounds do not always share the same vision of the learning process: they have different world patterns, information processing strategies, types of educational discourse, etc. The article outlines several formal representations of the learning process and its implementation in informational & teaching environments (ITE). In the paper educational communication in ELEs is referred to as a space of interacting micro-, macro-, and cultural environments, and a principle of organizing the educational content in the ELE is presented in the context of cultures interaction. It is contemplated that ELE content will be derived according to rules, adjusted to student's cultural and cognitive specifics We also represent a principle of organizing the educational content in IEE in the framework of different interacting cultures. We believe that the content of IEE will be derived according to the output rules, adjusted to a student's cultural and cognitive specifics. In the future, as a practical output, we intend to propose a methodology of mapping a student’s individual educational trajectory in a multicultural learning environment. Modal classification of cultural environments (David B. Zilberman), minimum dictionaries (Bertrand Russell) and simulation of student’s activities have been applied as major tools to study the contemporary learning environment.
Added: Sep 15, 2014
Article
Козырев О. Р., Логвинова К. В. Бизнес-информатика. 2008. № 4. С. 54-55.
Added: Sep 28, 2012
Article
Исаев Е. А., Коровкина Н. Л., Табакова М. С. Бизнес-информатика. 2018. Т. 2(44). С. 55-64.

Digital business transformation is a priority for Russian companies in all industries. To develop a company to its full value in the digital environment, it should include an IT department capable of meeting business needs. Evaluation of the current state of the IT department in terms of digital transformation will determine the company’s potential for further development. This article presents a solution to the problem of assessing the IT department’s readiness for digital business transformation by developing a quantitative assessment of the maturity level of the IT department processes for meeting the needs of the enterprise. The approach to solving this problem consists in the joint use of models for assessing the digital maturity of the enterprise as a whole and models for assessing the maturity of the IT department processes  and herein is the scientific novelty of the results obtained. At the first stage of the study, based on the analysis of modern information and digital management practices, as well as on the study of approaches to assessing the digital maturity of the enterprise and the processes of the IT department,  INFORMATION SYSTEMS AND TECHNOLOGIES IN BUSINESS 64 BUSINESS INFORMATICS No. 2(44) – 2018 we developed the requirements for the IT department maturity model of digital business transformation. The study identified the prospects for IT departments that affect its maturity level, developed a model for quantifying each perspective and a model for calculating the minimum level of maturity of the IT department to achieve the expected assessment of the company’s digital maturity. To assess the willingness of IT departments to digitally transform business, a regression equation of IT department maturity level is constructed from the influencing prospects (factors). The results of approbation of the model are presented.  

Added: Jul 10, 2018
Article
Васильев Р. Б., Левочкина Г. А. Бизнес-информатика. 2012. № 2. С. 56-64.
Added: Jul 27, 2012
Article
Елизарова Ю. М., Штефан М. А. Бизнес-информатика. 2018. № 4 (46). С. 54-65.

While evaluating and selecting investment projects, modem companies are confronted with the problem of setting priorities between profitability and riskiness of these projects. Choice of a project on the basis of its profitability significantly increases risks of financial and economic activities and decreases the certainty of achieving the planned financial result. On the other hand, attempts to decrease investment projects risks may not allow one to achieve the desired profitability level. Therefore, it is vital to develop integrated multi-criteria indicators for this purpose. This article is the result of the authors’ development of an integral indicator for evaluating investment project efficiency and risks. The developed integral indicator has a matrix form. To compile the integral indicator, three groups of criteria are used: quantitative efficiency criteria, qualitative efficiency criteria and risk evaluation criteria. We propose to divide the qualitative and quantitative criteria into: 1) those defining the commercial (economic) efficiency of projects, 2) those defining their budgetary efficiency; 3) those defining their social efficiency. According to the authors, the list of criteria that define associated risks should include macroeconomic indicators and industry affiliation indicators that provide a comprehensive evaluation of the external economic situation on the corresponding market. While evaluating efficiency and riskiness of the given projects, the integral indicator developed by the authors is converted from matrix form into a quantitative indicator that is easy to interpret. The authors propose to use principal component analysis and heuristic methods (including ranking method and hierarchy analysis method) for this purpose. The results of this research can be used by companies to select investment projects.

Added: Apr 1, 2019
Article
Кравченко Т. К. Бизнес-информатика. 2011. № 4. С. 16-23.

In the paper an approach to identification of characteristics for assessment of IT strategic decisions is proposed. The main feature of the approach is associated with integration of Balanced Scorecard methodology for IT service (IT Balanced Scorecard) and COBIT standard. Such integration allows to describe a hierarchical structure of characteristics (metrics) for assessment of decisions efficiency in yje field of information technologies.

Added: Nov 21, 2012