Statistical Analysis of the Human and Financial Resources of Cluster

Podrobná bibliografie
Parent link:Innovation Management and Education Excellence Vision 2020: from Regional Development Sustainability to Global Economic Growth.— 2016.— [P. 133-137]
Hlavní autor: Gromova T. V. Tatyana Victorovna
Korporativní autor: Национальный исследовательский Томский политехнический университет (ТПУ) Институт социально-гуманитарных технологий (ИСГТ) Кафедра менеджмента (МЕН)
Další autoři: Koroleva N. V. Nataljya Valentinovna, Adelshin R. R. Ruslan Rimovich
Shrnutí:Title screen
The article analyzes the personnel and the financial recourses for evaluating the efficiency of cluster performance. The paper identified the relationship between the number of employees engaged in research and development and the number of clusters as well as domestic spending on research and development and the number of clusters. Analytical method is used for the equation of the line showed a trend of the number of R&D employees, as well as an analysis of the percentage of internal expenditure on R & D to GDP.
Режим доступа: по договору с организацией-держателем ресурса
Jazyk:angličtina
Vydáno: 2016
Témata:
On-line přístup:https://ibima.org/accepted-paper/statistical-analysis-human-financial-resources-cluster/
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650113

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330 |a The article analyzes the personnel and the financial recourses for evaluating the efficiency of cluster performance. The paper identified the relationship between the number of employees engaged in research and development and the number of clusters as well as domestic spending on research and development and the number of clusters. Analytical method is used for the equation of the line showed a trend of the number of R&D employees, as well as an analysis of the percentage of internal expenditure on R & D to GDP. 
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463 |t Innovation Management and Education Excellence Vision 2020: from Regional Development Sustainability to Global Economic Growth  |o proceedings of the 27th International Business Information Management Association Conference (IBIMA), Milan, Italy, 4-5 May 2016  |v [P. 133-137]  |d 2016 
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