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PurposeThe purpose of this paper is to study the characteristics of flexible, agile and lean supply chains and establish, by factor analysis, that outsourcing can be a key intervention achieving the triple objective of flexibility, agility and leanness.Design/methodology/approachThe paper is a blend of theoretical framework and practical application and employs structural analysis to draw an interventional roadmap to facilitate value chain outsourcing.FindingsThe paper finds that by outsourcing activities processes, organizations can deliver better value to the customer.Originality/valueThe paper is of value in identifying the variables for effective value chain outsourcing.

PurposeThis paper aims to identify various information risks that could impact a supply chain, and develops a conceptual framework to quantify and mitigate them.Design/methodology/approachGraph theory has been used to quantify information risks while interpretive structural modelling (ISM) is employed to understand the interrelationships among the enablers of information risks mitigation.FindingsThe research presents a classification of the enablers of information risks mitigation according to their driving power and dependence. It also presents a risk index to quantify information risks. The research suggests that management should focus on improving the high driving power enabler variables.Practical implicationsThe proposed risk index and the hierarchy‐based model would help to develop suitable strategies to manage information risks in supply chains.Originality/valueThe major contribution of this paper lies in the development of a framework to quantify information risks and a hierarchy based model for their mitigation in context of supply chains.

PurposeSupply chain risk management assumes importance in the wake of organizations understanding that their risk susceptibility is dependent on other constituents of their supply chain. The purpose of this paper is to present an approach to effective supply chain risk mitigation by understanding the dynamics between various enablers that help to mitigate risk in a supply chain.Design/methodology/approachUsing interpretive structural modeling the research presents a hierarchy‐based model and the mutual relationships among the enablers of risk mitigation.FindingsThe research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance while another group consists of those variables which have high dependence and are the resultant actions.Practical implicationsThis classification provides a useful tool to supply chain managers to differentiate between independent and dependent variables and their mutual relationships which would help them to focus on those key variables that are most important for effective risk minimization in a supply chain.Originality/valuePresentation of enablers in a hierarchy and the classification into driver and dependent categories is unique effort in the area of supply chain risk management.