The development and empirical testing of a pressure/ response model of green supply chain management amongst a cross-sectoral sample of members of the Chartered Institute of Purchasing and Supply

This study develops and empirically tests a model of factors determining green supply chain management practices in organisations. Previous research on aspects of green supply chain management is dominated by anecdotal, sector specific studies that examine specific aspects of the supply chain, such as purchasing or logistics. Many argue this field is embryonic and lacking a structured integrative framework of research. This study addresses this gap by focussing on a whole supply chain approach that provides a synthesis of previous research to develop a model of green supply chain management. The data from a cross-sectoral survey of 149 members the Chartered Institute of Purchasing and Supply is used to test this model, using a variety of multivariate techniques. The model identifies environmental attitude as the primary determinant of green supply chain management practices, influenced to a lesser extent by external legislative factors. The influence of organisational contingencies on this model is also explored, and size identified as the only contingency that influences the relationships in this model. The dominant influence of environmental attitude suggests that within organisations there are internal factors, or individuals, that may push forward the green agenda, and those initiatives that focus on changing the environmental attitude/ culture of an organisation might be the most effective at improving environmental performance. This study suggests that factors previously identified as important within green supply chain management, such as supply chain or competitive pressures, are less influential than expected. However, future research should seek to compare the findings from this study with a larger, cross-sectoral sample that includes diverse organisations from different nations, sectors and levels of channel power.EThOS - Electronic Theses Online ServiceGBUnited Kingdo