Creating technological innovation via green supply chain management: An empirical analysis

Voon Hsien Lee; Keng Boon Ooi; Alain Yee Loong Chong; Christopher Seow

doi:10.1016/j.eswa.2014.05.022

Creating technological innovation via green supply chain management: An empirical analysis

Voon Hsien Lee, Keng Boon Ooi, Alain Yee Loong Chong, Christopher Seow

Research output: Journal Publication › Article › peer-review

154 Citations (Scopus)

Abstract

This study sets out to empirically test the research framework and identify the relationship between green supply chain management (GSCM) practices and technological innovation (TI) in manufacturing firms. It is one of the first studies that experimentally validate the relationship between GSCM practices and TI from the perspective of a developing nation. In this study, 133 usable sets of data were collected from manufacturing firms in Malaysia. Results obtained from the partial least square-structural equation modeling (PLS-SEM) approach supported the significant positive relationship between three GSCM practices (i.e. internal environmental management, eco-design and investment recovery) and TI, but the study found that green purchasing and cooperation with customers do not have a significant positive correlation with TI. The importance of GSCM practices has been proven to enhance firms' TI, in addition to improving the environment, bringing about a positive impact on the manufacturing establishment. Therefore, this study has relevance to all manufactures seeking to enhance their TI through the effective use of GSCM practices.

Original language	English
Pages (from-to)	6983-6994
Number of pages	12
Journal	Expert Systems with Applications
Volume	41
Issue number	16
DOIs	https://doi.org/10.1016/j.eswa.2014.05.022
Publication status	Published - 15 Nov 2014

Keywords

Green supply chain management
Manufacturing firms
Structural equation modeling
Technological innovation

ASJC Scopus subject areas

General Engineering
Computer Science Applications
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.eswa.2014.05.022

Cite this

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title = "Creating technological innovation via green supply chain management: An empirical analysis",

abstract = "This study sets out to empirically test the research framework and identify the relationship between green supply chain management (GSCM) practices and technological innovation (TI) in manufacturing firms. It is one of the first studies that experimentally validate the relationship between GSCM practices and TI from the perspective of a developing nation. In this study, 133 usable sets of data were collected from manufacturing firms in Malaysia. Results obtained from the partial least square-structural equation modeling (PLS-SEM) approach supported the significant positive relationship between three GSCM practices (i.e. internal environmental management, eco-design and investment recovery) and TI, but the study found that green purchasing and cooperation with customers do not have a significant positive correlation with TI. The importance of GSCM practices has been proven to enhance firms' TI, in addition to improving the environment, bringing about a positive impact on the manufacturing establishment. Therefore, this study has relevance to all manufactures seeking to enhance their TI through the effective use of GSCM practices.",

keywords = "Green supply chain management, Manufacturing firms, Structural equation modeling, Technological innovation",

author = "Lee, {Voon Hsien} and Ooi, {Keng Boon} and Chong, {Alain Yee Loong} and Christopher Seow",

year = "2014",

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T2 - An empirical analysis

AU - Lee, Voon Hsien

AU - Ooi, Keng Boon

AU - Chong, Alain Yee Loong

AU - Seow, Christopher

PY - 2014/11/15

Y1 - 2014/11/15

N2 - This study sets out to empirically test the research framework and identify the relationship between green supply chain management (GSCM) practices and technological innovation (TI) in manufacturing firms. It is one of the first studies that experimentally validate the relationship between GSCM practices and TI from the perspective of a developing nation. In this study, 133 usable sets of data were collected from manufacturing firms in Malaysia. Results obtained from the partial least square-structural equation modeling (PLS-SEM) approach supported the significant positive relationship between three GSCM practices (i.e. internal environmental management, eco-design and investment recovery) and TI, but the study found that green purchasing and cooperation with customers do not have a significant positive correlation with TI. The importance of GSCM practices has been proven to enhance firms' TI, in addition to improving the environment, bringing about a positive impact on the manufacturing establishment. Therefore, this study has relevance to all manufactures seeking to enhance their TI through the effective use of GSCM practices.

AB - This study sets out to empirically test the research framework and identify the relationship between green supply chain management (GSCM) practices and technological innovation (TI) in manufacturing firms. It is one of the first studies that experimentally validate the relationship between GSCM practices and TI from the perspective of a developing nation. In this study, 133 usable sets of data were collected from manufacturing firms in Malaysia. Results obtained from the partial least square-structural equation modeling (PLS-SEM) approach supported the significant positive relationship between three GSCM practices (i.e. internal environmental management, eco-design and investment recovery) and TI, but the study found that green purchasing and cooperation with customers do not have a significant positive correlation with TI. The importance of GSCM practices has been proven to enhance firms' TI, in addition to improving the environment, bringing about a positive impact on the manufacturing establishment. Therefore, this study has relevance to all manufactures seeking to enhance their TI through the effective use of GSCM practices.

KW - Green supply chain management

KW - Manufacturing firms

KW - Structural equation modeling

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Creating technological innovation via green supply chain management: An empirical analysis

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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