Open AccessBusiness incubator assessment model
Author(s) -
Nikita Tsygankov,
A. E. Petrunina,
A. K. Moskalev,
Yulia E. Valkova
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/986/1/012016
Subject(s) - incubator , investment (military) , business , work (physics) , industrial organization , resource (disambiguation) , incubation , process management , operations management , environmental economics , marketing , computer science , economics , engineering , mechanical engineering , computer network , biochemistry , chemistry , politics , political science , law , microbiology and biotechnology , biology
At the initial stage of economy innovative potential formation, the leading role belongs to small venture firms that provide market development of the intellectual activity results. Support for small businesses of this type is usually provided through the development of a business incubators system initiated by regional authorities and implemented through targeted budget funding. In this regard, it is important for incubators to develop an indicators system for evaluating the effectiveness of budget allocations and private investment. The paper proposes a two-level system of business incubator functioning and develops a management structure that allows analyzing the current state of the organization and the results of its work using a mathematical model. The incubator activity is determined by the state of the system at the time of starting the next cycle of work, the state of the incubated companies at each stage of incubation (pre-incubation, incubation, post-incubation) and planned tasks, taking into account resource and technological limitations. The proposed model can be used in the development of methods for continuous deviations monitoring from the planned performance indicators of the organization with the ability to pinpoint the problem and respond to it. The advantage of the proposed model is that it can be scaled up to the level of the innovation structure of the region.