ASSESSING PERFORMANCE OF AUTOMOBILE INDUSTRY USING MALMQUIST PRODUCTIVITY INDEX WITH R

Day, Jen Der and Farid, Muhammad (2019) ASSESSING PERFORMANCE OF AUTOMOBILE INDUSTRY USING MALMQUIST PRODUCTIVITY INDEX WITH R. South African Journal of Industrial Engineering, 30 (2). pp. 61-70. ISSN 2224-7890

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Abstract

ABSTRACT The aim of this study is to measure the performance of the top ten automobile manufacturers for the years 2011 to 2016. After evaluating the data from annual reports, only six manufacturers meet the requirements. The Malmquist productivity index (MPI) is used as the measurement of performance. The MPI consists of two elements: the technical efficiency change index (TECI) and the technological change index (TCI). The ‘productivity’ package in the open-source programming language known as ‘R’ is used to estimate the MPI, TCI, and TECI with input and output orientations. The results suggest that the productivity of the automobile industry increased during the period under evaluation. The average productivity scores for the top three manufacturers are as follows: Toyota (1.4844), Volkswagen (1.3382), and Mercedes-Benz (1.4444). However, there are still some industries whose productivity score is less than 1: Ford (0.9846), Honda (0.9925), and Nissan (0.9999). The newness of this study stems from the use of MPI in the global automobile industry, using R language, an open-source application for processing data.

Item Type:	Article
Subjects:	KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	Herling HR Sahade
Date Deposited:	15 Jul 2021 15:15
Last Modified:	18 Jul 2022 15:45
URI:	http://eprints.unm.ac.id/id/eprint/20750

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