In this work the potential profitability is considered as additional criteria for classification of informational objects. It is discovered that potential profitability of the one part of information objects grows along with increase of its prevalence and drop for another part. In the article is revealed a regulatory gap of actual legislation for effective use of information objects with growing profitability along with its prevalence increase. It is offered to bridge the gap with the legal method of access encouragement for the specific class of information objects added into intellectual property law.
In this work the potential profitability is considered as additional criteria for classification of informational objects. It is discovered that potential profitability of the one part of information objects grows along with increase of its prevalence and drop for another part. In the article is revealed a regulatory gap of actual legislation for effective use of information objects with growing profitability along with its prevalence increase. It is offered to bridge the gap with the legal method of access encouragement for the specific class of information objects added into intellectual property law.
At present, enterprise performance management (EPM) systems are widely used in practice, because they facilitate strategic decision-making and contribute to improved information transparency of organizations. However, methodological issues related to managing the development of such systems seem to be insufficiently investigated and elaborated. The purpose of the study is to formulate and justify fundamental principles for managing EPM systems’ development. These principles derive from peculiarities of EPM systems themselves and the features of their development management. In particular, the features of EPM systems are complexity and modular structure, large-scale scope, the long-term nature of planning, monitoring and analysis, use of aggregated information – both financial and non-financial. The features of managing development of EPM systems include the implicit nature of the resulting economic benefits, influence of stochastic factors, as well as availability of “complicated” projects (with uncertain outcomes, ability to reexecute and multiple variants of implementation). As a result, the basic principles of managing development of EPM systems can be formulated. There are the principles of a system, the going concern, business alignment, value for money, program management, alternativeness, feasibility, stochasticity, as well as resources aggregation.
The significance of these principles is explained by the fact that they can be used as a basis for an integrated process of managing the development of EPM systems. These principles are also valuable for formalizing certain elements of the management process, such as assessment of the maturity level of EPM systems, the formation of potential development programs, simulation of implementation of the development programs, as well as decision-making regarding selection of development programs for implementation.
The solution of the housing problem for many decades has been and remains one of the most important tasks facing the nation.. The problem of modeling the value of residential properties is becoming more and more urgent, since a high-quality forecast makes it possible to reduce risks, both for government bodies and for realtors specializing in the purchase and sale of residential properties, as well as for ordinary citizens who buy or sell apartments. Predictive models allow us to get an adequate assessment of both the current and future situation on the residential property market, to identify trends in the cost of housing and the factors influencing these changes. This involves both the qualitative characteristics of the particular property, and the general condition and the dynamics of the real estate market. Russia is characterized by significant differences in the level of development of regions, therefore, by differences in trends of supply and demand prices for real estate. Valuation of residential properties at the regional level is particularly important, since all of the above determines the social and economic importance of this problem. This article presents a comprehensive model for estimating the value of residential properties in the secondary housing market of Moscow using decision tree methods and ordinal logistic regression. A predictive model of the level of housing comfort was built using the CRT decision tree method. The results of this forecast are used as input information for an ordinal logistic regression model for estimating the value of residential properties in the secondary market of Moscow. Testing the model on real data showed the high predictive ability of the model we generated.
System of logistic regression models is suggested which takes into account variation of financial coefficients in dynamics. Besides it comparative analysis of predictive accuracy is performed for the system of models on the basis of learning and control samples of manufacturing companies.