Issue |
SHS Web Conf.
Volume 35, 2017
3rd International Conference on Industrial Engineering (ICIE-2017)
|
|
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Article Number | 01036 | |
Number of page(s) | 5 | |
Section | Sustainable Development of Industrial Enterprises | |
DOI | https://doi.org/10.1051/shsconf/20173501036 | |
Published online | 26 June 2017 |
Modelling efficient innovative work: integration of economic and social psychological approaches
South Ural State University (national research university), Management of innovation in business Department, Chelyabinsk, Russia
* Corresponding author: dmitrieva.julia.86@mail.ru
The article deals with the relevance of integration of economic and social psychological approaches to the solution of enhancing the efficiency of innovation management. The content, features and specifics of the modelling methods within each of approaches are unfolded and options of integration are considered. The economic approach lies in the generation of the integrated matrix concept of management of innovative development of an enterprise in line with the stages of innovative work and the use of the integrated vector method for the evaluation of the innovative enterprise development level. The social psychological approach lies in the development of a system of psychodiagnostic indexes of activity resources within the scope of psychological innovative audit of enterprise management and development of modelling methods for the balance of activity trends. Modelling the activity resources is based on the system of equations accounting for the interaction type of psychodiagnostic indexes. Integration of two approaches includes a methodological level, a level of empirical studies and modelling methods. There are suggested options of integrating the economic and psychological approaches to analyze available material and non-material resources of the enterprises’ innovative work and to forecast an optimal option of development based on the implemented modelling methods.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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