The main purpose of this research is to develop and deploy an analytical framework for measuring the environmental performance of manufacturing supply chains. This work's theoretical bases combine and reconcile three major areas: supply chain management, environmental management and performance measurement. Researchers have suggested many empirical criteria for green supply chain (GSC) performance measurement and proposed both qualitative and quantitative frameworks. However, these are mainly operational in nature and specific to the focal company. This research develops an innovative GSC performance measurement framework by integrating supply chain processes (supplier relationship management, internal supply chain management and customer relationship management) with organisational decision levels (both strategic and operational). Environmental planning, environmental auditing, management commitment, environmental performance, economic performance and operational performance are the key level constructs. The proposed framework is then applied to three selected manufacturing organisations in the UK. Their GSC performance is measured and benchmarked by using the analytic hierarchy process (AHP), a multiple-attribute decision-making technique. The AHP-based framework offers an effective way to measure and benchmark organisations’ GSC performance. This study has both theoretical and practical implications. Theoretically it contributes holistic constructs for designing a GSC and managing it for sustainability; and practically it helps industry practitioners to measure and improve the environmental performance of their supply chain.

This research presents a new perspective of social exchange to explain the employee responses to corporate social responsibility (CSR) activities of their organizations. In particular, the current study aims to explore the social exchange based mediation mechanism between CSR actions and employee turnover intentions. Considering this theory, we propose that organizational trust is the primary outcome of CSR, which in turn influences the affective organizational commitment (AOC) and reduces the turnover intentions (TOI) of employees. Moreover, we posit that different types of CSR actions have different effects on employees due to their relative importance. To test the suggested research model, we analyzed the data collected on 304 employees working in the Star hotel in South Asia. Results of the study demonstrate the organizational trust to be a mediator between CSR and AOC and that CSR negatively impacts the turnover intentions of employees through the mediation of trust and AOC. Moreover, the results show the relevance of examining the disaggregated effects of different types of CSR actions on employees’ turnover intention. The study concludes with implications for future research and for policy-makers.

Enterprise resource planning (ERP) projects are risky. But if they are implemented appropriately, they can provide competitive advantage to organisations. Therefore, ERP implementation has become one of the most critical aspects of today's information management research. The main purpose of this article is to describe a new ERP risk assessment framework (RAF) that can be used to increase the success of ERP implementation. In this article, through a case study based in a leading UK-based energy service provider, we demonstrate the new RAF, which has been shown to help identify and mitigate risks in ERP implementation. In contrast to other research, this RAF identifies risks hierarchically in external engagement, programme management, work stream and work package levels across technical, schedule, operational, business and organisational categories. This not only helped to develop responses to mitigate risks but also facilitates on-going risk control.