Issue |
SHS Web Conf.
Volume 116, 2021
10th Annual International Conference “Schumpeterian Readings” (ICSR 2021)
|
|
---|---|---|
Article Number | 00047 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/shsconf/202111600047 | |
Published online | 30 July 2021 |
Mechanisms of knowledge-driven innovation: evidence from Russia
1 National Research University HSE, Perm campus, 38, Studencheskay str., Perm, 614070, Russia
2 Perm National Research Polytechnic University, 29, Komsomolsky pr., Perm, 614990, Russia
* Corresponding author: mmolodchik@hse.ru
The paper aims to propose theoretical framework for knowledge-driven innovation and justify it empirically using database of 110 Russian companies. The study utilizes multidisciplinary approach and develops theoretical framework in the intersection of knowledge-based theory of a firm, the concept of learning organization, the concept of intellectual capital and the concept of self-development and self-organizational systems. The partial least square was applied for modelling the impact of the flexible structure, knowledge culture, transformational leadership on proactive employee behavior that in turn influences knowledge resources and organizational learning followed by company’s innovation. The study confirmed the key role of proactive behavior in knowledge-driven innovation. Findings revealed the highest impact of transformational leadership on employee behavior and innovation, as well as positive and significant impact of knowledge culture and indirect effect of flexible structure.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.