Improving development management of knowledge-intensive production under the new industrialization
Valentina Yachmeneva, Andrey Veretyokhin, Natalia Tsarenko
Available Online January 2019.
- https://doi.org/10.2991/sicni-18.2019.93How to use a DOI?
- knowledge-intensive production; development management; algorithmic model.
- The process of massive transition of enterprises to Industry 4.0 is underway at the current stage. Under such circumstances the production units development management becomes impossible without a profound management processes transformation and the formalizing management actions. The purpose of the study is to improve the of knowledge-intensive industries development management through the creation of an algorithmic model of development in the new industrialization. In pursuit of this goal, the following tasks have been accomplished: subject-object relations were studied and attributed in knowledge-intensive industries development management; identified and formulated the basic principles of the development management model; identified the main levers of development management, taking into account interest groups; characterized by an elementary set of methods and tools for managing development; an algorithmic model for managing the development of high-tech industries was formed. One of the central elements of the proposed model is an assessment of the level of enterprise development. It includes compulsory monitoring of the production development and the degree of its knowledge-intensiveness. Assessment of the current development and interpretation of its results allow the selection of key indicators for a targeted impact on the development of high-tech production.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Valentina Yachmeneva AU - Andrey Veretyokhin AU - Natalia Tsarenko PY - 2019/01 DA - 2019/01 TI - Improving development management of knowledge-intensive production under the new industrialization PB - Atlantis Press SP - 461 EP - 465 SN - 2352-5398 UR - https://doi.org/10.2991/sicni-18.2019.93 DO - https://doi.org/10.2991/sicni-18.2019.93 ID - Yachmeneva2019/01 ER -