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Explaining Environmental Sustainability in Supply Chains Using Graph Theory

Author

Listed:
  • Zongwei Luo

    (Southern University of Science and Technology of China)

  • Rameshwar Dubey

    (Southern University of Science and Technology of China
    Montpellier Research in Management)

  • Thanos Papadopoulos

    (University of Kent)

  • Benjamin Hazen

    (Air Force Institute of Technology)

  • David Roubaud

    (Montpellier Research in Management)

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.

Suggested Citation

  • Zongwei Luo & Rameshwar Dubey & Thanos Papadopoulos & Benjamin Hazen & David Roubaud, 2018. "Explaining Environmental Sustainability in Supply Chains Using Graph Theory," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1257-1275, December.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:4:d:10.1007_s10614-017-9688-2
    DOI: 10.1007/s10614-017-9688-2
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    Cited by:

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    2. Mauro Lizot & Pedro Paulo Andrade Júnior & Flavio Trojan & Carolina Sales Magacho & Shirley Suellen Thesari & Andreia Santos Goffi, 2019. "Analysis of Evaluation Methods of Sustainable Supply Chain Management in Production Engineering Journals with High Impact," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    3. Dinesh Seth & Minhaj Ahemad A. Rehman, 2022. "Critical success factors‐based strategy to facilitate green manufacturing for responsible business: An application experience in Indian context," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 2786-2806, November.
    4. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    5. Jiandong Chen & Ming Gao & Ke Ma & Malin Song, 2020. "Different effects of technological progress on China's carbon emissions based on sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 481-492, February.
    6. Videsh Desingh & Baskaran R, 2022. "Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 318-351, January.
    7. Jiandong Chen & Chong Xu & Qianjiao Xie & Malin Song, 2020. "Net primary productivity‐based factors of China's carbon intensity: A regional perspective," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1727-1748, December.
    8. Chen, Jiandong & Gao, Ming & Mangla, Sachin Kumar & Song, Malin & Wen, Jie, 2020. "Effects of technological changes on China's carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    9. Sushil, 2017. "Modified ISM/TISM Process with Simultaneous Transitivity Checks for Reducing Direct Pair Comparisons," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 331-351, December.

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