Governance pressures and performance outcomes of sustainable supply chain management – An empirical analysis of the UK manufacturing industry
摘要：Although sustainable supply chain management (SSCM) has recently received increasing attention among UK manufacturing firms, there is a concern as to whether SSCM practices are being implemented because they are profitable or only because of governance coercive pressure. Thus, the aims of this paper are twofold: first, determining the role of governance in the adoption of SSCM practices; second, investigating whether SSCM practices can be both environmentally beneficial and commercially viable. In light of these issues, this paper develops and empirically assesses an integrated model of governance pressures-SSCM practices-performance. Data was collected from 146 UK manufacturing managers, and analysed using the structural equation modelling method. Exogenous driving forces of governance were found to be precursors to the successful implementation of SSCM practices. The empirical results further suggest that while the implementation of sustainable supply chain management has a positive effect on environmental performance, it does not necessarily lead to improved economic performance, as only sustainable procurement was found to have a positive effect on economic performance. This paper contributes to the literature by highlighting the role of governance in SSCM adoption and performance gains in environmental protection while economic performance is partially compromised. The results also provide useful insights for both managers seeking to adopt sustainable practices and policy-makers seeking to further promote sustainable supply chain.
Dr. Tao Zhang joined the Department of Marketing as a Lecturer in Marketing and Sustainability August 2012. Prior to that he was a research fellow in the Intelligent Modelling & Analysis Research Group, School of Computer Science, University of Nottingham. He gained his PhD in Energy Economics from the Energy Policy Research Group, Judge Business School, University of Cambridge. His research interests are in the areas of energy economics and policy, energy consumer behaviour and innovation management, and agent-based modelling for the energy market. During his post-doc period in Nottingham, Dr. Zhang led the agent-based simulation part in an EPSRC funded research project Future Energy Decision Making for Cities—Can Complexity Science Rise to the Challenge? His publications appear in leading journals such as the Journal of Cleaner Production, Technological Forecasting and Social Change, Energy and Buildings, Energy Policy, theJournal of Strategic Marketing, the Journal of Business Research and the Journal of Product Innovation Management. He is a founding member of the Environmental and Energy Economics and Management research cluster in Birmingham Business School, University of Birmingham, an external advisor to the State Grid Corporation China, and an associate researcher of the ESRC Energy Policy Research Group.