Место издания:Academic Conferences and Publishing International Limited Reading
Первая страница:709
Последняя страница:716
Аннотация:The paper aims to analyse firms’ innovative behaviour and identify its connection with their absorptive capacity. Firstly, we study the innovation behaviour of Russian enterprises at a regional level. Toward this end, the decomposition of innovation process into sub-processes is used. Four types of innovation product were specified depending on its level of market and technological novelty. Each of the types of innovation product is the result of some innovation processes implementation. Secondly, we distinguish different types of absorptive capacity for the transfer of technological knowledge from abroad. In the study, the absorptive capacity for technology transfer is defined as the ability to acquire advanced technologies. To that end, we analyse the import of embodied and disembodied technologies. Moreover, the disembodied form can be divided into two types. The first one is the adoption of R&D results and the second one is the acquisition of patents, licenses, and know-how. At the same time, we take into account that companies can not only buy R&D results but also can absorb them in partnership and cooperation. The ability to absorb technological knowledge from abroad is essential for firms’ innovative strategies in developing countries. The four regions of the Russian Federation with developed manufacture were chosen to demonstrate the results obtained. The results of the study show that, if the development level of regional industry is relatively high, but lags behind the international technological level, the scaled process of innovation creation is based on the firms’ capacity to adopt foreign technologies. Particularly, when firms both intensively invest in R&D and adopt disembodied technologies, they get able to change the structure of innovation process and thus become more creative. It is also established that intensive investment in in-house R&D is an essential factor for efficient application of technological knowledge transferred from abroad.
The research has been supported by Russian Science Foundation (Project No 16-18-10296