Purpose: The aim of this paper is to conceptualise a structural model of natural resource based green supply chain management (GSCM), and its relationship, with an indication of cause and effect, to relevant performance measures and drivers.Design/methodology/approach: The literature, describing GSCM from a natural resource based view (NRBV), along with performance measures and institutional drivers, is critically evaluated and used to develop the model.Findings: Constructs are identified in terms of intra‐ and inter‐organisational environmental practices, performance measures and institutional drivers. Causal relationships, within and between the constructs, are also proposed in the form of hypotheses.Research limitations/implications: At this stage the model is purely conceptual and the causal relationships are only proposed. Empirical tests of the model and hypotheses are required.Practical implications: On empirical verification, this work can furnish managers with validated measurement scales to evaluate their strengths and weaknesses in their GSCM implementation and determine how firms can successfully implement GSCM to promote sustainable industrial development.Originality/value: GSCM from within the NRBV perspective, and incorporating performance measures and institutional drivers, has yet to be comprehensively synthesised in a coherent model. This conceptual work is the first step in that direction.

Purpose – The aim of this paper is that of individualizing a framework for the management of uncertainty in supply chain finalized to reduce the firm risks. Design/methodology/approach – Since a way for reducing the damages deriving from uncertainty sources is increasing the level of flexibility inside the supply chain, and the real option theory allows the increase of the flexibility level, in order to achieve the aim of this work, we utilize the real options theory to coverage of one or more risks inside the supply chain. Findings – A useful theoretical framework has been individualized enabling the selection of possible options to protect the firm against the risk originating from every source of uncertainty. In particular, on two types of risks, using Matlab software, a test has been conducted that proves the ability of the outsource option to cover risks under examination. Practical implications – In the paper a framework providing useful information for the supply chain management is presented. Originality/value – The paper attempts to provide an original tool for the risks management deriving from production activities inside a supply chain.