Explaining Environmental Sustainability in Supply Chains Using Graph Theory

Zongwei Luo (), Rameshwar Dubey, Thanos Papadopoulos (), Benjamin Hazen () and David Roubaud ()
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Zongwei Luo: Southern University of Science and Technology of China
Thanos Papadopoulos: University of Kent
Benjamin Hazen: Air Force Institute of Technology

Computational Economics, 2018, vol. 52, issue 4, No 12, 1257-1275

Abstract: Abstract The need for theory building in environmental supply chains has been at the centre of many discussions in recent years. Existing research, however, does not typically consider methods that aim at theory generation. Current methods such as econometric modelling or structural equation modelling face challenges related to how causality is established due to potential issues regarding cross-sectional data sets. To address this gap, this paper suggests a total interpretive structural modelling based approach. We use graph theory logic to synthesize expert interpretations in the form of a theoretical supply chain model. This method may prove to be an alternative method to econometric based modelling or structural equation modelling. We provide an application of the method in exploring the drivers of low carbon supply chain and their relationships. Limitations and future research opportunities are also provided.

Keywords: Total interpretive structural modeling (TISM); Organisational theory; Environmental sustainability; Supply chain management; MICMAC (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s10614-017-9688-2

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