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.

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.

Marketing the results of research carried out within publicly funded scientific institutions (universities, laboratories, research centers, etc.) is widely considered by decision-makers as a sustainable base for developing and stimulating business growth. Experience shows that small, innovative enterprises split off from big industries or academic bodies are the element that links together research and the business environment; their creation process represents a perfect field for applying the Enterprise Engineering apparatus. Such enterprises can assume the risk of transforming an entrepreneurial idea into industrial prototypes without which it is impossible to evaluate the commercial potentialof research results. This mechanism is implemented via spin-off companies. This paper focuses its analysis on the creation of academic spin-offs as one of the mostwidespread ways to bring research results to the market place, and also represents a powerful instrument of their internationalization strategy for universities. The main aim of the work is to identify the main elements raised by the creation of such companies, from the point of view of both public and academic authorities. The article proposes to consider key properties of university and industrial spin-offs as business units with flexible organizational form in tight connection with the formal modeling approach of the Enterprise Ontology and DEMO methodology, which are based on the Language–Action Perspective. For the analysis, the authors apply the concept of the transactions mechanism and a particular enterprise design methodology. As a result of the research, the paper proposes the main elements of a spin-off reference model constructed using the DEMO methodology means and it describes future directions of this work.

Medical information systems are a separate class of information systems, specifically developed to improve the efficiency of health care. The purpose of the implementation of health information systems in clinical centers – a comprehensive solution of problems in information support of the delivery of health services, with emphasis on the formalization of business processes in the field of health care, the collection and secure storage of patients personal data, optimal interface solutions for clinicians and nurses, special managing of medications. The main role of the users of medical information system – heads of clinical departments, doctors and nurses. The paper is dedicated to the study of the set of coupled problems with clinical (bedside) diagnoses in medical information systems: effective input, validity and completeness checking, analysis of clinical data taking diagnoses into account. It is common in current generation of medical information systems to input diagnosis as an unstructured text field in natural language with additional selection of some classes from International Classification of Diseases or other universal disease classification. There are standardized guidelines and local conventions for input and change diagnosis text but, as a rule, these conventions are not formalized in medical information systems that leads to above-listed problems. We suggest an effective and easy variant of formalization of extended clinical diagnosis in oncology. The paper proposes a variant of formalizing additional classification of clinical diagnoses, both simple and effective, and the prototype description templates and schemes to enhance the diagnosis for certain diseases in the format JSON, optimization interface standard field "diagnosis" in medical information systems. This variant was introduced as software pilot project in the field of pediatric oncology.