Efficiency Performance of General Insurance Companies in Malaysia

A two-stage approach in data envelopment analysis (2S-DEA) methodology is used towards decomposing a typical two-stage operation process of general insurance companies, which is conducted in a single operation involving intermediate. Specifically, we evaluate the managerial efficiency and profitabil...

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Main Authors: Qian, Long Kweh, Noor Azlinna, Azizan
Format: Article
Language:English
Published: Academic Research Online Publisher 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10174/
http://umpir.ump.edu.my/id/eprint/10174/
http://umpir.ump.edu.my/id/eprint/10174/1/Efficiency%20Performance%20of%20General%20Insurance%20Companies%20in%20Malaysia.pdf
id ump-10174
recordtype eprints
spelling ump-101742018-05-02T06:04:33Z http://umpir.ump.edu.my/id/eprint/10174/ Efficiency Performance of General Insurance Companies in Malaysia Qian, Long Kweh Noor Azlinna, Azizan HD28 Management. Industrial Management A two-stage approach in data envelopment analysis (2S-DEA) methodology is used towards decomposing a typical two-stage operation process of general insurance companies, which is conducted in a single operation involving intermediate. Specifically, we evaluate the managerial efficiency and profitability efficiency of Malaysia-incorporated companies involving in general insurance business for the period 2008-2011, by using the additive efficiency decomposition approach in 2S-DEA of Chen, Cook, Li, and Zhu(2009). We find that the sample firms have to first improve their managerial efficiency, and then proceed to improve their profitability efficiency. Academic Research Online Publisher 2015 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/10174/1/Efficiency%20Performance%20of%20General%20Insurance%20Companies%20in%20Malaysia.pdf Qian, Long Kweh and Noor Azlinna, Azizan (2015) Efficiency Performance of General Insurance Companies in Malaysia. Journal of Advanced & Applied Sciences (JAAS), 3 (4). pp. 119-124. ISSN 2289-6260 http://www.aropub.org/wp-content/uploads/2015/08/Management-NCON-PGR-S02-002-CR.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Qian, Long Kweh
Noor Azlinna, Azizan
Efficiency Performance of General Insurance Companies in Malaysia
description A two-stage approach in data envelopment analysis (2S-DEA) methodology is used towards decomposing a typical two-stage operation process of general insurance companies, which is conducted in a single operation involving intermediate. Specifically, we evaluate the managerial efficiency and profitability efficiency of Malaysia-incorporated companies involving in general insurance business for the period 2008-2011, by using the additive efficiency decomposition approach in 2S-DEA of Chen, Cook, Li, and Zhu(2009). We find that the sample firms have to first improve their managerial efficiency, and then proceed to improve their profitability efficiency.
format Article
author Qian, Long Kweh
Noor Azlinna, Azizan
author_facet Qian, Long Kweh
Noor Azlinna, Azizan
author_sort Qian, Long Kweh
title Efficiency Performance of General Insurance Companies in Malaysia
title_short Efficiency Performance of General Insurance Companies in Malaysia
title_full Efficiency Performance of General Insurance Companies in Malaysia
title_fullStr Efficiency Performance of General Insurance Companies in Malaysia
title_full_unstemmed Efficiency Performance of General Insurance Companies in Malaysia
title_sort efficiency performance of general insurance companies in malaysia
publisher Academic Research Online Publisher
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/10174/
http://umpir.ump.edu.my/id/eprint/10174/
http://umpir.ump.edu.my/id/eprint/10174/1/Efficiency%20Performance%20of%20General%20Insurance%20Companies%20in%20Malaysia.pdf
first_indexed 2023-09-18T22:09:30Z
last_indexed 2023-09-18T22:09:30Z
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