TY - JOUR
T1 - Factors affecting the adoption of green supply chain management practices in Brazil
T2 - empirical evidence
AU - de Sousa Jabbour, Ana Beatriz Lopes
AU - Jabbour, Charbel José Chiappetta
AU - Govindan, Kannan
AU - Kannan, Devika
AU - Salgado, Manoel Henrique
AU - Zanon , Celeste José
PY - 2013/3/7
Y1 - 2013/3/7
N2 - The aim of this study is to identify and analyse the factors that affect the adoption of Green Supply Chain Management practices based on empirical evidence from the Brazilian electronics sector. Data are collected in a survey of 100 electronics companies and analysed using statistical analysis of variance and regression methods. The study finds that the size of the company, previous experience with Environmental Management Systems, and the use of hazardous inputs are positively correlated with GSCM practices adoption. Surprisingly, formal pressure from the stronger tier/player in the supply chain is not correlated with the adoption of GSCM practices. Finally, we present some explanations for these findings and suggestions for future research.
AB - The aim of this study is to identify and analyse the factors that affect the adoption of Green Supply Chain Management practices based on empirical evidence from the Brazilian electronics sector. Data are collected in a survey of 100 electronics companies and analysed using statistical analysis of variance and regression methods. The study finds that the size of the company, previous experience with Environmental Management Systems, and the use of hazardous inputs are positively correlated with GSCM practices adoption. Surprisingly, formal pressure from the stronger tier/player in the supply chain is not correlated with the adoption of GSCM practices. Finally, we present some explanations for these findings and suggestions for future research.
KW - Brazil
KW - electronics company
KW - electronics sectors
KW - green supply chain management
KW - practices
KW - regression method
KW - regression analysis
KW - environmental management systems
KW - supply chain management
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878572911&partnerID=40&md5=20f4eb246ed45219926e3c1c064375e3
UR - http://www.tandfonline.com/toc/genv20/current
U2 - 10.1080/00207233.2013.774774
DO - 10.1080/00207233.2013.774774
M3 - Article
VL - 70
SP - 302
EP - 315
JO - International Journal of Environmental Studies
JF - International Journal of Environmental Studies
SN - 0020-7233
IS - 2
ER -