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THE LEARNING CURVE: AN APPLICATION IN TURKISH MANUFACTURING INDUSTRY Print E-mail

Gürkan Çalmaşur, Hüseyin Daştan, Zeynep Karaca

Abstract

The learning curves have traditionally been used for manufacturing industries. Manufacturing industry is the branch of industry in which raw materials are processed by machine or manual labor and converted into intermediate goods. The main aim of this article is to make a detailed analysis the learning curves in the Turkish manufacturing industry for 2003-2017 period. In order to satisfy this aim, the cubic learning model has been estimated and calculated the progress ratio values for 24 Turkish manufacturing industries from 2003 to 2017. As a result, between 2003 and 2017, total Turkish manufacturing industry has a convex learning curve.

Key words: Learning curve; Progress ratio, Manufacturing industry, Turkey.

Gürkan Çalmaşur, PhD in Economics, is an Associate professor at the Erzurum Technical University (Faculty of Economics and Administrative Sciences) and a Specialist Microeconomics. Contact  address:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Hüseyin Daştan PhD in Economics, is an Associate professor at the Erzurum Technical University (Faculty of Economics and Administrative Sciences) and a Specialist Microeconomics. Contact  address:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Zeynep Karaca, PhD in Economics, is an Assistant professor at the Erzurum Technical University (Faculty of Economics and Administrative Sciences) and a Specialist Microeconomics. Contact  address:  This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Cite this article:
Çalmasur Gürkan, Dastan Hüseyin, Karaca Zeynep. THE LEARNING CURVE: AN APPLICATION IN TURKISH MANUFACTURING INDUSTRY. Innovative Issues and Approaches in Social Sciences, vol.14, no.1:88-104, DOI:http://dx.doi.org/10.12959/issn.1855-0541.IIASS-2021-no1-art6

Digital Object Identifier(DOI): http://dx.doi.org/10.12959/issn.1855-0541.IIASS-2021-no1-art6

View full text in pdf: http://www.iiass.com/pdf/IIASS-2021-no1-art6.pdf

 

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