Conference publications

Abstracts

XIII conference

Innovation management activity based on innovation - reinvestment cycle optimization

Nesteruk D.N.

Tomsk polytechnic university, Yurga technological institute of TPU, faculty of Economy and management, dep. Economy and the automated control systems, Russia, 652050. Yurga, street. Leningradskaya 26, E-mail: nesteruk@list.ru

Now success of any organization is defined by its competitiveness which grows out innovation activity carried out by it.

Innovation as the product of innovative activity represents result of overlapping of innovation and investment cycles. Realization of the innovation project, at presence of sufficient financing, on any of his stages can lead to creation new product possessing a certain level of competitiveness. The problem of an innovation cycle optimization consists in a choice on set of sold projects of the competitive products list choused for realization. Selection criterion is innovation has maximum level of competitiveness. The result is the profit acts maximization in case of prescheduled end of the project.

The lead analysis of the literature on problems of competitiveness estimation has shown absence of the standard proved methodology allowing estimating prospective effect from innovation realization.

The basic characteristic of the innovations market is synergistic.

Really, the dialectic contradiction between needs and their satisfaction opportunity for the limited resource conditions forces chaotic set of economic objects turn to the ordered, indefinitely changing structures.

The economic systems have properties of nonlinearity, non-uniformity and irreversibility cannot be authentically appreciated by existing methods for two reasons:

1. The economic validity multiversion and speed of its change outstrips rate of its studying;

2. Economic conclusions appear unstable concerning small variations of initial assumptions.

Proceeding from the aforesaid, the author develops the automated system of the innovative activity efficiency forecasting, based on dissipative model of estimation innovations competitiveness.