TY - JOUR
T1 - Green supply chain management approaches
T2 - drivers and performance implications
AU - Tachizawa, Elcio M.
AU - Giménez Thomsen, C.
AU - Sierra, V.
N1 - Publisher Copyright:
© 2015, Emerald Group Publishing Limited.
PY - 2015/11/2
Y1 - 2015/11/2
N2 - Purpose – The purpose of this paper is to analyse the complex interrelationships among environmental drivers, Green Supply Chain Management (GSCM) approaches and performance. Design/methodology/approach – A survey was sent to a sample of managers in the field of Purchasing and Supply Management in Spanish firms. Data were analysed using SmartPLS 2.0 to test a model that relates GSCM drivers, GSCM approaches and performance. Findings – Results show that coercive and non-coercive drivers have different implications in terms of GSCM approaches. Moreover, monitoring itself is not sufficient to improve performance; firms need to adopt collaborative practices with their suppliers. Results show that whereas collaboration has a direct effect on performance, monitoring has only an indirect relationship through collaboration. Research limitations/implications – One of the main limitations of this study is the use of data from a single country (Spain). The main contribution of the paper is to show that coercive and non-coercive drivers have different effects on the GSCM approaches. Additionally, it quantifies the mediating effect of collaboration on the relationship between monitoring and environmental performance. As further research, the authors suggest the replication of this study in other countries (notably in emerging markets) and industrial sectors. Practical implications – This study provides guidance to managers in the implementation of specific approaches of GSCM. For example, it shows that monitoring alone has no direct effect on performance whereas joint collaborative initiatives with suppliers have a significant effect on environmental performance. Originality/value – This study analyses the implications in terms of drivers and performance for each GSCM approach (monitoring and collaboration), using a quantitative approach.
AB - Purpose – The purpose of this paper is to analyse the complex interrelationships among environmental drivers, Green Supply Chain Management (GSCM) approaches and performance. Design/methodology/approach – A survey was sent to a sample of managers in the field of Purchasing and Supply Management in Spanish firms. Data were analysed using SmartPLS 2.0 to test a model that relates GSCM drivers, GSCM approaches and performance. Findings – Results show that coercive and non-coercive drivers have different implications in terms of GSCM approaches. Moreover, monitoring itself is not sufficient to improve performance; firms need to adopt collaborative practices with their suppliers. Results show that whereas collaboration has a direct effect on performance, monitoring has only an indirect relationship through collaboration. Research limitations/implications – One of the main limitations of this study is the use of data from a single country (Spain). The main contribution of the paper is to show that coercive and non-coercive drivers have different effects on the GSCM approaches. Additionally, it quantifies the mediating effect of collaboration on the relationship between monitoring and environmental performance. As further research, the authors suggest the replication of this study in other countries (notably in emerging markets) and industrial sectors. Practical implications – This study provides guidance to managers in the implementation of specific approaches of GSCM. For example, it shows that monitoring alone has no direct effect on performance whereas joint collaborative initiatives with suppliers have a significant effect on environmental performance. Originality/value – This study analyses the implications in terms of drivers and performance for each GSCM approach (monitoring and collaboration), using a quantitative approach.
KW - Buyer-supplier relationships
KW - Environmental management
KW - Green supply chain management
KW - Purchasing
KW - Survey
UR - http://www.scopus.com/inward/record.url?scp=84944736895&partnerID=8YFLogxK
U2 - 10.1108/IJOPM-01-2015-0023
DO - 10.1108/IJOPM-01-2015-0023
M3 - Article
AN - SCOPUS:84944736895
SN - 0144-3577
VL - 35
SP - 1546
EP - 1566
JO - International Journal of Operations and Production Management
JF - International Journal of Operations and Production Management
IS - 11
ER -