Method for Evaluating the Digital Potential of a Backbone Innovative Active Industrial Cluster

Issues of digitalizing industrial enterprises and clusters in the formation of Industry 4.0 garner considerable attention. Here, the discussion is about backbone innovative active industrial enterprises, whose appearance is thanks to the evolutionary development of integrated industrial structur...

詳細記述

書誌詳細
出版年:International Journal of Technology
主要な著者: Larissa Tashenova, Aleksandr Babkin, Dinara Mamrayeva, Ivan Babkin
フォーマット: 論文
言語:英語
出版事項: Universitas Indonesia 2020-12-01
主題:
オンライン・アクセス:https://ijtech.eng.ui.ac.id/article/view/4537
その他の書誌記述
要約:Issues of digitalizing industrial enterprises and clusters in the formation of Industry 4.0 garner considerable attention. Here, the discussion is about backbone innovative active industrial enterprises, whose appearance is thanks to the evolutionary development of integrated industrial structures, and which are able to actively create, introduce, and commercialize innovative products and to use all the advantages of industrial automation. The authors attempt to develop a method for assessing the digital potential of backbone innovative active industrial clusters. The method is developed based on existing methods for and approaches to evaluating the innovation potential of industrial clusters and the digital potential of industrial enterprises, and makes it possible to calculate a final integral assessment, which includes calculating for each of the seven sub-potentials the parameters identified by experts to be important. In order to confirm the validity of the obtained results, the calculation is carried out using three methods: arithmetic mean, harmonic mean, and weighted geometric mean. The suggested method was successfully tested on the example cluster “Development of information technologies, radio electronics, instrumentation, communication and info-telecommunication devices of St. Petersburg.“
ISSN:2086-9614
2087-2100