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A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms

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  • Jasneet Kaur
  • Ramneet Sidhu
  • Anjali Awasthi
  • Satyaveer Chauhan
  • Suresh Goyal

Abstract

Green supply chain management (GSCM) involves consideration of environmental impacts of all the processes involved in a typical supply chain to minimise their negative consequences. In this paper, we present a DEMATEL-based approach for investigating barriers in GSCM in Canadian context. Seven manufacturing firms from electronic goods sector are involved. The results of our study yield three main categories of barriers. These barriers are knowledge-related (lack of awareness of the environmental impacts on business, lack of training courses/consultancy/institutions to train, monitor/mentor progress specific to each industry, lack of technical expertise and difficulty in identifying environmental opportunities), commitment-related (lack of corporate social responsibility) and product design-related (complexity of design to reuse/recycle used products). The proposed study is one of the first few to be conducted in the Canadian context for green supply chain barrier analysis for electronic goods sector. Secondly, the barriers are investigated through causality and prominence relations which can help decision-makers, policy planners and managers of organisations in addressing those critical few for making green supply chain practices a success.

Suggested Citation

  • Jasneet Kaur & Ramneet Sidhu & Anjali Awasthi & Satyaveer Chauhan & Suresh Goyal, 2018. "A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 312-332, January.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:1-2:p:312-332
    DOI: 10.1080/00207543.2017.1395522
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    Cited by:

    1. Soomin Shin & Meehee Cho, 2022. "Green Supply Chain Management Implemented by Suppliers as Drivers for SMEs Environmental Growth with a Focus on the Restaurant Industry," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    2. Ipek Kazancoglu & Muhittin Sagnak & Sachin Kumar Mangla & Yigit Kazancoglu, 2021. "Circular economy and the policy: A framework for improving the corporate environmental management in supply chains," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 590-608, January.
    3. Yadegaridehkordi, Elaheh & Hourmand, Mehdi & Nilashi, Mehrbakhsh & Shuib, Liyana & Ahani, Ali & Ibrahim, Othman, 2018. "Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 199-210.
    4. Lin Ma & Wenyan Song & Yanru Zhou, 2018. "Modeling Enablers of Environmentally Conscious Manufacturing Strategy: An Integrated Method," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    5. Ana Labella-Fernández & M. Mar Serrano-Arcos & Belén Payán-Sánchez, 2021. "Firm Growth as a Driver of Sustainable Product Innovation: Mediation and Moderation Analysis. Evidence from Manufacturing Firms," IJERPH, MDPI, vol. 18(5), pages 1-22, March.
    6. Muwen Wang & Kecheng Zhang, 2022. "Improving Agricultural Green Supply Chain Management by a Novel Integrated Fuzzy-Delphi and Grey-WINGS Model," Agriculture, MDPI, vol. 12(10), pages 1-19, September.
    7. Abbott Po Shun Chen & Yung-Fu Huang & Manh-Hoang Do, 2022. "Exploring the Challenges to Adopt Green Initiatives to Supply Chain Management for Manufacturing Industries," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    8. Kumar, Anil & Agrawal, Rohit & Wankhede, Vishal A & Sharma, Manu & Mulat-weldemeskel, Eyob, 2022. "A framework for assessing social acceptability of industry 4.0 technologies for the development of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Asadi, Shahla & Nilashi, Mehrbakhsh & Iranmanesh, Mohammad & Hyun, Sunghyup Sean & Rezvani, Azadeh, 2022. "Effect of internet of things on manufacturing performance: A hybrid multi-criteria decision-making and neuro-fuzzy approach," Technovation, Elsevier, vol. 118(C).
    10. Amjad Hussain & Muhammad Umar Farooq & Muhammad Salman Habib & Tariq Masood & Catalin I. Pruncu, 2021. "COVID-19 Challenges: Can Industry 4.0 Technologies Help with Business Continuity?," Sustainability, MDPI, vol. 13(21), pages 1-25, October.
    11. Himanshu & Jatinder P. Singh & Ashwani Kumar, 2020. "Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics," Vision, , vol. 24(3), pages 330-344, September.
    12. Muhammad Hamza Naseem & Jiaqi Yang & Tongxia Zhang & Waseem Alam, 2023. "Utilizing Fuzzy AHP in the Evaluation of Barriers to Blockchain Implementation in Reverse Logistics," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    13. Syed Abdul Rehman Khan & Manoj Mathew & P. D. D. Dominic & Muhammad Umar, 2022. "Evaluation and selection strategy for green supply chain using interval-valued q-rung orthopair fuzzy combinative distance-based assessment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10633-10665, September.
    14. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    15. Teresa C. Herrador-Alcaide & Montserrat Hernández-Solís & Susana Cortés Rodríguez, 2023. "Mapping barriers to green supply chains in empirical research on green banking," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    16. Xiaofeng Shi & Jianying Li & Fei Wang & Hasan Dinçer & Serhat Yüksel, 2019. "A Hybrid Decision-Making Approach for the Service and Financial-Based Measurement of Universal Health Coverage for the E7 Economies," IJERPH, MDPI, vol. 16(18), pages 1-20, September.
    17. Xuefeng Zhang & Bengang Gong & Yaqin Cao & Yi Ding & Jiafu Su, 2022. "Investigating participants’ attributes for participant estimation in knowledge-intensive crowdsourcing: a fuzzy DEMATEL based approach," Electronic Commerce Research, Springer, vol. 22(3), pages 811-842, September.
    18. Hui Huang & Juan Zhang & Xuan Ren & Xiang Zhou, 2018. "Greenness and Pricing Decisions of Cooperative Supply Chains Considering Altruistic Preferences," IJERPH, MDPI, vol. 16(1), pages 1-31, December.
    19. Aymen Sajjad & Gabriel Eweje & David Tappin, 2020. "Managerial perspectives on drivers for and barriers to sustainable supply chain management implementation: Evidence from New Zealand," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 592-604, February.
    20. Vinay Surendra Yadav & A. R. Singh & Rakesh D. Raut & Naoufel Cheikhrouhou, 2023. "Blockchain drivers to achieve sustainable food security in the Indian context," Annals of Operations Research, Springer, vol. 327(1), pages 211-249, August.
    21. Morteza Yazdani & Prasenjit Chatterjee & Maria Jose Montero-Simo & Rafael A. Araque-Padilla, 2019. "An Integrated Multi-Attribute Model for Evaluation of Sustainable Mobile Phone," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    22. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    23. Agi, Maher A.N. & Jha, Ashish Kumar, 2022. "Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption," International Journal of Production Economics, Elsevier, vol. 247(C).
    24. Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Maryam Aziz & Abdul Basit & Ifra Aziz Khan Niazi, 2023. "Using the Binary Matrices for Modeling the Supply Chain Issues of Virtual Shops: An Evidence from Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 548-564.

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