Optimization on the Efficiency of the Construction Sector Companies in Malaysia With Data Envelopment Analysis Model

Lim Shun Jinn*, Lam Weng Hoe and Lam Weng Siew
Additional contact information
Lim Shun Jinn*: Centre for Bio-Diversity Research , Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia
Lam Weng Hoe: Centre for Mathematical Sciences, Centre for Business and Management , Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia
Lam Weng Siew: Centre for Mathematical Sciences, Centre for Business and Management , Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia

The Journal of Social Sciences Research, 2018, 893-898 Special Issue: 6

Abstract: Construction industry contributes to the growth of economy in Malaysia. Therefore, efficiency is important to measure how well the construction company is performing in utilizing the resources to generate outcomes. The aim of this research is to evaluate the efficiency of the listed construction sectors companies in Malaysia with Data Envelopment Analysis model. In this study, BREM, DKLS, ECONBHD, HSL, KERJAYA, MELATI, MLGLOBAL, PTARAS, PUNCAK, SUNCON and ZECON are ranked as efficient companies which achieve 100% efficiency score. This study is significant because it helps to identify the efficient companies that serve as benchmark to other inefficient companies for further improvement.

Keywords: Construction sector; Data envelopment analysis; Efficiency; Total inputs; Total outputs. (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.arpgweb.com/pdf-files/spi6.193.893-898.pdf (application/pdf)
https://www.arpgweb.com/journal/7/special_issue/12-2018/6/4 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arp:tjssrr:2018:p:893-898

Access Statistics for this article

The Journal of Social Sciences Research is currently edited by Dr. Paola Magnano

More articles in The Journal of Social Sciences Research from Academic Research Publishing Group Rahim Yar Khan 64200, Punjab, Pakistan.
Bibliographic data for series maintained by Managing Editor ().