IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v46y2015ip1p86-100.html
   My bibliography  Save this article

Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology

Author

Listed:
  • Kusi-Sarpong, Simonov
  • Bai, Chunguang
  • Sarkis, Joseph
  • Wang, Xuping

Abstract

Environmental issues from the extractive industries and especially mining are prevalent and maleficent. An effective way to manage these pernicious environmental problems is through organizational practices that include the broader supply chain. Green supply chain practices and their role in mining industry strategy and operations have not been comprehensively addressed. To address this gap in the literature, and building upon the literature in general green supply chain management and environmental decision tools, we introduce a comprehensive framework for green supply chain practices in the mining industry. The framework is categorized into six areas of practice, with detailed practices described and summarized. The green supply chain practices framework is useful for practical managerial decision making purposes such as programmatic evaluation. The framework may also be useful as a theoretical construct for empirical research on green supply chain practices in the mining industry. To exemplify the practical utility of the framework we introduce a multiple criteria evaluation of green supply programs using a novel multiple criteria approach that integrates rough set theory elements and fuzzy TOPSIS. Using illustrative data we provide an example of how the methodology can be used with the green supply chain practices framework for the mining industry. This paper sets the foundation for significant future research in green supply chain practices in the mining industry.

Suggested Citation

  • Kusi-Sarpong, Simonov & Bai, Chunguang & Sarkis, Joseph & Wang, Xuping, 2015. "Green supply chain practices evaluation in the mining industry using a joint rough sets and fuzzy TOPSIS methodology," Resources Policy, Elsevier, vol. 46(P1), pages 86-100.
  • Handle: RePEc:eee:jrpoli:v:46:y:2015:i:p1:p:86-100
    DOI: 10.1016/j.resourpol.2014.10.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420714000786
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2014.10.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lenzen, Manfred & Murray, Joy & Sack, Fabian & Wiedmann, Thomas, 2007. "Shared producer and consumer responsibility -- Theory and practice," Ecological Economics, Elsevier, vol. 61(1), pages 27-42, February.
    2. Aryee, Benjamin N. A., 2001. "Ghana's mining sector: its contribution to the national economy," Resources Policy, Elsevier, vol. 27(2), pages 61-75, June.
    3. Barla, Philippe, 2007. "ISO 14001 certification and environmental performance in Quebec's pulp and paper industry," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 291-306, May.
    4. Faucheux, S. & Nicolaï, I., 2011. "IT for green and green IT: A proposed typology of eco-innovation," Ecological Economics, Elsevier, vol. 70(11), pages 2020-2027, September.
    5. Uddin, Mueen & Rahman, Azizah Abdul, 2012. "Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4078-4094.
    6. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Confirmation of a measurement model for green supply chain management practices implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 261-273, February.
    7. Li, Deng-Feng, 2012. "A fast approach to compute fuzzy values of matrix games with payoffs of triangular fuzzy numbers," European Journal of Operational Research, Elsevier, vol. 223(2), pages 421-429.
    8. Angela R. Dobele & Kate Westberg & Marion Steel & Kris Flowers, 2014. "An Examination of Corporate Social Responsibility Implementation and Stakeholder Engagement: A Case Study in the Australian Mining Industry," Business Strategy and the Environment, Wiley Blackwell, vol. 23(3), pages 145-159, March.
    9. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    10. Bloch, Robin & Owusu, George, 2012. "Linkages in Ghana's gold mining industry: Challenging the enclave thesis," Resources Policy, Elsevier, vol. 37(4), pages 434-442.
    11. Gunasekaran, A. & Ngai, E. W. T., 2004. "Information systems in supply chain integration and management," European Journal of Operational Research, Elsevier, vol. 159(2), pages 269-295, December.
    12. Antony Paulraj, 2009. "Environmental motivations: a classification scheme and its impact on environmental strategies and practices," Business Strategy and the Environment, Wiley Blackwell, vol. 18(7), pages 453-468, November.
    13. Vachon, Stephan & Klassen, Robert D., 2008. "Environmental management and manufacturing performance: The role of collaboration in the supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 299-315, February.
    14. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    15. Chunguang Bai & Joseph Sarkis, 2013. "Green information technology strategic justification and evaluation," Information Systems Frontiers, Springer, vol. 15(5), pages 831-847, November.
    16. Awasthi, Anjali & Chauhan, Satyaveer S. & Goyal, S.K., 2010. "A fuzzy multicriteria approach for evaluating environmental performance of suppliers," International Journal of Production Economics, Elsevier, vol. 126(2), pages 370-378, August.
    17. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    18. Sarkis, Joseph & Cordeiro, James J., 2001. "An empirical evaluation of environmental efficiencies and firm performance: Pollution prevention versus end-of-pipe practice," European Journal of Operational Research, Elsevier, vol. 135(1), pages 102-113, November.
    19. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kusi-Sarpong, Simonov & Sarkis, Joseph & Wang, Xuping, 2016. "Assessing green supply chain practices in the Ghanaian mining industry: A framework and evaluation," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 325-341.
    2. Islam Shamimul & Karia Noorliza & Fauzi Firdaus Bin Ahmad & Soliman Mohamed, 2017. "A review on green supply chain aspects and practices," Management & Marketing, Sciendo, vol. 12(1), pages 12-36, March.
    3. Wenwen Zhu & Zhiqiang Wang, 2018. "The Collaborative Networks and Thematic Trends of Research on Purchasing and Supply Management for Environmental Sustainability: A Bibliometric Review," Sustainability, MDPI, vol. 10(5), pages 1-28, May.
    4. Dayal S. Prasad & Rudra P. Pradhan & Kunal Gaurav & Partha P. Chatterjee & Inderpal Kaur & Saurav Dash & Sagar Nayak, 2018. "Analysing the critical success factors for implementation of sustainable supply chain management: an Indian case study," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(1), pages 3-25, March.
    5. Suthep Nimsai & Chanin Yoopetch & Polin Lai, 2020. "Mapping the Knowledge Base of Sustainable Supply Chain Management: A Bibliometric Literature Review," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    6. Dobos, Imre & Vörösmarty, Gyöngyi, 2014. "Green supplier selection and evaluation using DEA-type composite indicators," International Journal of Production Economics, Elsevier, vol. 157(C), pages 273-278.
    7. Chunguang Bai & Joseph Sarkis, 2013. "Green information technology strategic justification and evaluation," Information Systems Frontiers, Springer, vol. 15(5), pages 831-847, November.
    8. Amer Saeed & Yun Jun & Saviour Ayertey Nubuor & Hewawasam Puwakpitiyage Rasika Priyankara & Mahabaduge Prasad Fernando Jayasuriya, 2018. "Institutional Pressures, Green Supply Chain Management Practices on Environmental and Economic Performance: A Two Theory View," Sustainability, MDPI, vol. 10(5), pages 1-24, May.
    9. Fahimnia, Behnam & Sarkis, Joseph & Davarzani, Hoda, 2015. "Green supply chain management: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 162(C), pages 101-114.
    10. Nihan Kabadayı, 2020. "An Integrated Fuzzy DEMATEL and Intuitionistic Fuzzy TOPSIS Method to Evaluate Sustainable Suppliers," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(2), pages 201-226, December.
    11. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    12. Dilip Kumar Sen & Saurav Datta & Siba Sankar Mahapatra, 2016. "A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(05), pages 1-40, October.
    13. Josef-Peter Schöggl & Morgane M. C. Fritz & Rupert J. Baumgartner, 2016. "Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach," Sustainability, MDPI, vol. 8(11), pages 1-20, November.
    14. Caniato, Federico & Caridi, Maria & Crippa, Luca & Moretto, Antonella, 2012. "Environmental sustainability in fashion supply chains: An exploratory case based research," International Journal of Production Economics, Elsevier, vol. 135(2), pages 659-670.
    15. Zhaojun Yang & Jun Sun & Yali Zhang & Ying Wang, 2018. "Peas and carrots just because they are green? Operational fit between green supply chain management and green information system," Information Systems Frontiers, Springer, vol. 20(3), pages 627-645, June.
    16. Ruifeng Gong & Jian Xue & Laijun Zhao & Oleksandra Zolotova & Xiaoqing Ji & Yan Xu, 2019. "A Bibliometric Analysis of Green Supply Chain Management Based on the Web of Science (WOS) Platform," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    17. Zhaojun Yang & Jun Sun & Yali Zhang & Ying Wang, 0. "Peas and carrots just because they are green? Operational fit between green supply chain management and green information system," Information Systems Frontiers, Springer, vol. 0, pages 1-19.
    18. Azevedo, Susana & Cudney, Elizabeth A. & Grilo, António & Carvalho, Helena & Cruz-Machado, V., 2012. "The influence of eco-innovation supply chain practices on business eco-efficiency," MPRA Paper 42704, University Library of Munich, Germany.
    19. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
    20. Chithambaranathan, P. & Subramanian, Nachiappan & Gunasekaran, Angappa & Palaniappan, PL.K., 2015. "Service supply chain environmental performance evaluation using grey based hybrid MCDM approach," International Journal of Production Economics, Elsevier, vol. 166(C), pages 163-176.

    More about this item

    Keywords

    Green supply chain practices; Program evaluation; Rough set theory; Mining industry; Information theory;
    All these keywords.

    JEL classification:

    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:46:y:2015:i:p1:p:86-100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.