Lomazov V.A.

Belgorod State Agricultural University, Russia

Nesterova E.V.

Belgorod State National Research University, Russia

MULTIMETHOD TECHNIQUE FOR SELECTION OF INNOVATION AND INVESTMENT PROJECTS RECOMMENDED FOR PRACTICAL IMPLEMENTATION.

Development of models and methods of science-based management decisions on the choice of projects in specific application areas with the highest efficiency and lowest cost is now urgent practically significant problem [1-3]. To take into account different points of view, improve the validity of choice, the decision maker (DM), draw on the expertise or independently solves the problem in several ways. The results obtained by several experts / methods are converted into group preference, based on which the decision-maker makes the final selection. Reducing the number of criteria by which to evaluate and selection of project, provides a reduction in the time of choosing and simplifies the analysis of the results.

These circumstances cause the need to create an approach that enables decision-makers / experts to make an informed choice of the best multi-criteria options using different methods to explain and justify the results obtained with the different points of view.

The purpose of the work is to create tools to support multi-criteria estimation of hierarchical innovation and investment projects in the health sector. Background research is determined by the need to improve tools to support making management decisions in the health sector, which is one of the priority areas of social investment, because investment in maintaining of the public health is determining the possibility of increasing human capital. [4,5].

Multimethod technique of multi-criteria selection in the feature space of large dimension [6,7] includes:

- procedures for reducing the dimension of the feature space by aggregating the initial indicators;

- methods of hierarchical criteria systems with different sets of outcome criteria, up to a single integral index;

- different methods of decision-making, that are used for the scale of aggregated criteria and solve the problem of multi-criteria selection based on the views of several experts;

- algorithms for formation of the final result on the basis of a generalized group preferences with the possibility of explaining the choices made.

In this study, in the framework of multimethod's technology selection of innovation and investment projects in the field of public health as estimation methods were used:

- methods based on the principles of PEST (politics, economics, society, technology) analysis, supplemented by innovative aspect of estimation (PESTI- analysis);

- methods of estimation of projects in terms of balancing the interests of all stakeholders (Stakeholder analysis);

- methods based on accounting indicators of the project at different stages of its life cycle (LC-analysis).

In considering the project as a set of measures to achieve certain goals in a certain period and under certain resources within these methods highlighted aspects of the estimation of the project, enabling it to group performance and create integrated indicators.

For the estimation of the projects it is proposed to use a hierarchical multi-level system of criteria, constructed in the framework of the general approach the analytic hierarchy process [2]. The projects are presented at the alternative level, above which there is a sublevel level of criteria that are measured in common scale values of the total indicators of each project.

After estimation of each projects by the method considered projects are ranked. The total resultant ranking by all methods allows to select some of the most preferred projects, after which the final selection is made by the decision maker on the basis of his non-formalizable (intuitive) preference. Preliminary results of the pilot operation research of prototype analytical information system of estimation of innovation and investment projects in the health sector show the effectiveness of the proposed approach.

References

1. A Guide to the Project Management Body of Knowledge: PMBOK Guide / Global Standart. Project Management Institute, USA.- 2008.- 496 p.

2. Freeman, R. E. Strategic Management: A stakeholder approach. Boston: Pitman, 1984. 276 p.

3. Saaty T.L. The analytic hierarchy process. New York: McGraw Hill, 1980. – 287 с.

4. Lomazov V.A., Nesterova, E.V. Estimation criteria of innovative social investment Projects in health care // Sovremennyye issledovaniya sotsial'nykh problem (elektronnyy nauchnyy zhurnal). – 2013. – №8 (eng). – [Electronic source] - Access Code: http://journal-s.org/index.php/sisp/article/view /8201348

5. Nesterova, E.V. Application of the analytic hierarchy method for substantiation of investment decisions in the health care sphere // International Journal of Advanced Studies. – 2013.–Volume 3, no. 2 – P.48-54. – [Electronic source] - Access Code: http://journal-s.org/index.php/ijas/issue/view/322013.

6. Petrovsky A.B., Lobanov V.N. Selection of Complex System in the Reduced Multiple Criteria Space / World Applied Sciences Journal. 2014. – 29 (10) – P.1315-1319.

7. Petrovsky A.B., Lobanov V.N., Zaboleeva-Zotova A.V. Selection of Computer Complex by Integral Quality Index // Advances in Decision Technology and Intelligent Information Systems / Ed. By K.J. Engemann, G.E. Lasker. – Tecumseh: The International Institute for Advanced Studies in Systems Research and Cybernetics, 2014. − Vol. XV. − P. 16-20.