KFU. Card publication. Economic and statistical analysis of the management efficiency by the supply chain strategy and grouping method

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ECONOMIC AND STATISTICAL ANALYSIS OF THE MANAGEMENT EFFICIENCY BY THE SUPPLY CHAIN STRATEGY AND GROUPING METHOD

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Grigoreva Ekaterina Anatolevna, author

Zulfakarova Liliya Faridovna, author

Polovkina Elvira Anasovna, author

Bibliographic description in the original language

Grigoreva E.A, Polovkina E.A, Zulfakarova L.F. Economic and statistical analysis of the management efficiency by the supply chain strategy and grouping method // International Journal of Supply Chain Management. - 2019. - Vol. 8, Is. 5. - P. 916-922.

Annotation

The paper considers the possibility of using statistical methods to identify the impact of organizational factors on improving production efficiency. It investigates the existing problems in the application of the grouping method in the analysis of management effectiveness. The authors used a systematic approach to the statistical study of production and management efficiency. Methodological approaches to the integrated assessment of enterprise activities were developed by combining three characteristics in one grouping - the level of technical equipment, labor efficiency and capital productivity. Further research is aimed at developing and examining a generalized assessment of the organizational and technical level of enterprises on the basis of the grouping method.

Keywords

management efficiency, labor productivity, economic and statistical analysis, supply chain strategy, labor productivity, grouping method

The name of the journal

International Journal of Supply Chain Management

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082183921&partnerID=40&md5=9c20ff89a404af174d8ed829c2132a9c

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=230677&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Grigoreva Ekaterina Anatolevna	ru_RU
dc.contributor.author	Zulfakarova Liliya Faridovna	ru_RU
dc.contributor.author	Polovkina Elvira Anasovna	ru_RU
dc.contributor.author	Polovkina Elvira Anasovna	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Grigoreva E.A, Polovkina E.A, Zulfakarova L.F. Economic and statistical analysis of the management efficiency by the supply chain strategy and grouping method // International Journal of Supply Chain Management. - 2019. - Vol. 8, Is. 5. - P. 916-922.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=230677&p_lang=2	ru_RU
dc.description.abstract	International Journal of Supply Chain Management	ru_RU
dc.description.abstract	The paper considers the possibility of using statistical methods to identify the impact of organizational factors on improving production efficiency. It investigates the existing problems in the application of the grouping method in the analysis of management effectiveness. The authors used a systematic approach to the statistical study of production and management efficiency. Methodological approaches to the integrated assessment of enterprise activities were developed by combining three characteristics in one grouping - the level of technical equipment, labor efficiency and capital productivity. Further research is aimed at developing and examining a generalized assessment of the organizational and technical level of enterprises on the basis of the grouping method.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	management efficiency	ru_RU
dc.subject	labor productivity	ru_RU
dc.subject	economic and statistical analysis	ru_RU
dc.subject	supply chain strategy	ru_RU
dc.subject	labor productivity	ru_RU
dc.subject	grouping method	ru_RU
dc.title	Economic and statistical analysis of the management efficiency by the supply chain strategy and grouping method	ru_RU
dc.type	Articles in international journals and collections	ru_RU