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The estimation of diversification scale of production in machinery industry by application of the entropy notion

Data publikacji: 19.12.2016

Czasopismo Techniczne, 2016, Mechanika Zeszyt 4-M 2016, s. 59 - 64

https://doi.org/10.4467/2353737XCT.16.233.5982

Autorzy

,
Ewa Kozień
Department of Management Strategy and Organization, Faculty of Economics and International Relations, Cracow University of Economics.
Wszystkie publikacje autora →
Marek S. Kozień
Institute of Applied Mechanics and Energetics, Faculty of Mechanical Engineering
Wszystkie publikacje autora →

Tytuły

The estimation of diversification scale of production in machinery industry by application of the entropy notion

Abstrakt

Diversification strategy is currently used by enterprises to increase their stability and economic condition. It is not easy to realize the measurement of the process. The application of the parameter of entropy, which is well-known is physics, is one idea of parametrization. In the machinery industry, product diversification is connected with different consumers representing factories from different machinery sectors: mining, steel, building, agricultural and food. The possibility of estimation of the production diversification in the machinery industry by the application of the entropy-based parameters is discussed in the paper.

Informacje

Informacje: Czasopismo Techniczne, 2016, Mechanika Zeszyt 4-M 2016, s. 59 - 64

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

The estimation of diversification scale of production in machinery industry by application of the entropy notion

Angielski:

The estimation of diversification scale of production in machinery industry by application of the entropy notion

Autorzy

Department of Management Strategy and Organization, Faculty of Economics and International Relations, Cracow University of Economics.

Institute of Applied Mechanics and Energetics, Faculty of Mechanical Engineering

Publikacja: 19.12.2016

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Ewa Kozień (Autor) - 50%
Marek S. Kozień (Autor) - 50%

Korekty artykułu:

-

Języki publikacji:

Angielski