Manufacturing performance in green supply chain management

The purpose of the study is to examine the influence of manufacturing performance on green supply chain management amongst companies in Malaysia. A conceptual model is proposed and is subjected to an empirical verification with the use of a survey of manufacturing companies in Malaysia. The AMOS str...

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Bibliographic Details
Main Authors: Wan Mahmood, Wan Hasrulnizzam, Ebrahim, Zuhriah, Saptari, Adi, Mohamed Sultan, Al Amin, Abu Bakar, Mohd Hadzley, Subramonian, Sivarao, Ab Rahman, Mohd Nizam, Md Deros, Baba, Jusoff, Kamaruzaman, Jano, Zanariah
Format: Article
Language:English
Published: IDOSI Publications 2013
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Online Access:http://eprints.utem.edu.my/id/eprint/11232/1/manufacturing_Performance_in_GSCM.pdf
http://eprints.utem.edu.my/id/eprint/11232/
https://www.idosi.org/wasj/wasj21(et)13/10.pdf
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Summary:The purpose of the study is to examine the influence of manufacturing performance on green supply chain management amongst companies in Malaysia. A conceptual model is proposed and is subjected to an empirical verification with the use of a survey of manufacturing companies in Malaysia. The AMOS structural equation modelling was used to measure the respondents’ overall perceptions of the green supply chain management and current manufacturing performance. The result indicates that improving manufacturing performance leads to an integrated green supply chain, which ultimately leads to an enhancement of environmental compliance as well as an optimisation of the operational resources and product recycling activities. However, most practices have a very weak correlation with overall manufacturing system performance. This paper presents the first empirical investigation of the link between manufacturing performance and green supply chain management practices amongst organisations in Malaysia, using structural equation modelling which is able to help industrialist to enhance improvement in productivity. Future research should include different industrial sectors or countries, to enable comparative studies. A larger sample would also allow a detailed cross-sector comparison.