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  • 标题:Formation of subject composition and structure of innovative activity in the conditions of digitalization
  • 本地全文:下载
  • 作者:Evgeniya Sizova ; Evgeniya Zhutaeva ; Olga Volokitina
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:244
  • 页码:10005
  • DOI:10.1051/e3sconf/202124410005
  • 出版社:EDP Sciences
  • 摘要:The article is devoted to the application of the subject-oriented approach in the management of innovative activities in the context of digitalization. The key directions of the analysis of the readiness of the enterprise for the implementation of innovations are identified and substantiated and their impact on innovative processes is characterized. The multi-subject nature is noted as one of the most significant aspects of the implementation of innovative activities by an enterprise, which affects its effectiveness. A conceptual scheme for the interaction of subjects is proposed, taking into account the specifics of innovation and focus on improving its efficiency in key areas. In order to form the optimal subject composition, a classification of the participants in the innovation network is proposed. The mechanisms of accounting for the degree of workload of an innovative subject as a consequence of the multi-project nature of the activity are considered. An algorithm has been developed for constructing the optimal subjective structure of innovation activity, based on the use of elements of graph theory in order to assess its optimality. Risks of intersubjective interaction are formulated when participants of the external environment participate in the innovation network.
  • 其他摘要:The article is devoted to the application of the subject-oriented approach in the management of innovative activities in the context of digitalization. The key directions of the analysis of the readiness of the enterprise for the implementation of innovations are identified and substantiated and their impact on innovative processes is characterized. The multi-subject nature is noted as one of the most significant aspects of the implementation of innovative activities by an enterprise, which affects its effectiveness. A conceptual scheme for the interaction of subjects is proposed, taking into account the specifics of innovation and focus on improving its efficiency in key areas. In order to form the optimal subject composition, a classification of the participants in the innovation network is proposed. The mechanisms of accounting for the degree of workload of an innovative subject as a consequence of the multi-project nature of the activity are considered. An algorithm has been developed for constructing the optimal subjective structure of innovation activity, based on the use of elements of graph theory in order to assess its optimality. Risks of intersubjective interaction are formulated when participants of the external environment participate in the innovation network.
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