Natural resource based green supply chain management

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 G...

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Veröffentlicht in:Supply chain management 2012-01, Vol.17 (1), p.54-67
Hauptverfasser: Guang Shi, Victor, Lenny Koh, S.C., Baldwin, James, Cucchiella, Federica
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1359-8546
1758-6852
DOI:10.1108/13598541211212203