IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p506-d1314185.html
   My bibliography  Save this article

Overcoming Barriers to Sustainable Supply Chain Management in Small and Medium-Sized Enterprises: A Multi-Criteria Decision-Making Approach

Author

Listed:
  • Hugo Gonçalves

    (Department of Mechanical Engineering, University of Coimbra, 3004-517 Coimbra, Portugal)

  • Vanessa S. M. Magalhães

    (CEMMPRE, ARISE, Department of Mechanical Engineering, University of Coimbra, 3004-517 Coimbra, Portugal)

  • Luís M. D. F. Ferreira

    (CEMMPRE, ARISE, Department of Mechanical Engineering, University of Coimbra, 3004-517 Coimbra, Portugal)

  • Amílcar Arantes

    (CERIS, Civil Engineering, Architecture and Georesources Department, Instituto Superior Técnico, Universidade de Lisboa, 1600-190 Lisboa, Portugal)

Abstract

Sustainable supply chain management (SSCM) integrates economic, social, and environmental goals within the supply chain to enhance long-term performance. It assists organizations in monitoring their performance concerning social, environmental, and economic factors to bolster sustainability. Yet, implementing SSCM poses significant challenges for most organizations, particularly small and medium-sized enterprises (SMEs). This study aims to identify key barriers and strategies for overcoming them in SMEs. A thorough literature review revealed 80 barriers across nine categories: technological, economic and financial, supplier, information, market and networking, human resources, social and cultural, regulatory and institutional, and organizational barriers. Eight experts from SMEs in focus group discussions considered 55 relevant barriers and prioritized them using the best–worst method. Then, based on the top 15 barriers they deemed key, they adapted and improved 24 strategies based on the literature that, in their opinion, could support the implementation of and improve the SSCM in SMEs. The findings from this study highlight economic and financial barriers as the foremost challenges to the implementation of SSCM, mainly due to the lack of funding and capital to make changes in activities to include sustainability. The findings are valuable for SMEs seeking to implement SSCM, offering insights into potential barriers and strategies for surmounting them. Moreover, this study provides a structured approach that can be replicated to identify the most pressing barriers to overcoming and improving long-term sustainability.

Suggested Citation

  • Hugo Gonçalves & Vanessa S. M. Magalhães & Luís M. D. F. Ferreira & Amílcar Arantes, 2024. "Overcoming Barriers to Sustainable Supply Chain Management in Small and Medium-Sized Enterprises: A Multi-Criteria Decision-Making Approach," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:506-:d:1314185
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/506/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/2/506/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diabat, Ali & Govindan, Kannan, 2011. "An analysis of the drivers affecting the implementation of green supply chain management," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 659-667.
    2. Debadyuti Das, 2018. "Sustainable supply chain management in Indian organisations: an empirical investigation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5776-5794, September.
    3. Beise, Marian & Rennings, Klaus, 2005. "Lead markets and regulation: a framework for analyzing the international diffusion of environmental innovations," Ecological Economics, Elsevier, vol. 52(1), pages 5-17, January.
    4. Sirish Kumar Gouda & Haritha Saranga, 2018. "Sustainable supply chains for supply chain sustainability: impact of sustainability efforts on supply chain risk," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5820-5835, September.
    5. Sarkis, Joseph & Zhu, Qinghua & Lai, Kee-hung, 2011. "An organizational theoretic review of green supply chain management literature," International Journal of Production Economics, Elsevier, vol. 130(1), pages 1-15, March.
    6. Luis Miguel D. F. Ferreira & Cristóvao Silva, 2016. "Integrating Sustainability Metrics in the Supply Chain Performance Measurement System," Innovation, Technology, and Knowledge Management, in: Marta Peris-Ortiz & João J. Ferreira & Luís Farinha & Nuno O. Fernandes (ed.), Multiple Helix Ecosystems for Sustainable Competitiveness, chapter 0, pages 113-132, Springer.
    7. Ageron, Blandine & Gunasekaran, Angappa & Spalanzani, Alain, 2012. "Sustainable supply management: An empirical study," International Journal of Production Economics, Elsevier, vol. 140(1), pages 168-182.
    8. Silvestre, Bruno S., 2015. "Sustainable supply chain management in emerging economies: Environmental turbulence, institutional voids and sustainability trajectories," International Journal of Production Economics, Elsevier, vol. 167(C), pages 156-169.
    9. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    10. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    11. D’Este, Pablo & Iammarino, Simona & Savona, Maria & von Tunzelmann, Nick, 2012. "What hampers innovation? Revealed barriers versus deterring barriers," Research Policy, Elsevier, vol. 41(2), pages 482-488.
    12. Chunguang Bai & Simonov Kusi-Sarpong & Hadi Badri Ahmadi & Joseph Sarkis, 2019. "Social sustainable supplier evaluation and selection: a group decision-support approach," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7046-7067, November.
    13. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    14. Raine Isaksson & Peter Johansson & Klaus Fischer, 2010. "Detecting Supply Chain Innovation Potential for Sustainable Development," Journal of Business Ethics, Springer, vol. 97(3), pages 425-442, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhigang Fan & Yewen Zhang & Mingu Kang & Haengcheol Lee, 2025. "Understanding the Role of Supplier Involvement in the Link Between IT Integration and Sustainable Supplier Management Practices," Sustainability, MDPI, vol. 17(6), pages 1-13, March.

    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. Marcela Marçal Alves Pinto & João Luiz Kovaleski & Rui Tadashi Yoshino & Regina Negri Pagani, 2019. "Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method," Sustainability, MDPI, vol. 11(12), pages 1-33, June.
    2. Kannan, Devika, 2021. "Sustainable procurement drivers for extended multi-tier context: A multi-theoretical perspective in the Danish supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Zhifeng Wu & Senjing Zhai & Jiangtao Hong & Yibin Zhang & Keren Shi, 2018. "Building Sustainable Supply Chains for Organizations Based on QFD: A Case Study," IJERPH, MDPI, vol. 15(12), pages 1-12, December.
    4. Chun-Chieh Tseng & Jun-Yi Zeng & Min-Liang Hsieh & Chih-Hung Hsu, 2022. "Analysis of Innovation Drivers of New and Old Kinetic Energy Conversion Using a Hybrid Multiple-Criteria Decision-Making Model in the Post-COVID-19 Era: A Chinese Case," Mathematics, MDPI, vol. 10(20), pages 1-25, October.
    5. Tavana, Madjid & Khalili Nasr, Arash & Mina, Hassan & Michnik, Jerzy, 2022. "A private sustainable partner selection model for green public-private partnerships and regional economic development," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    6. Amelia Bilbao-Terol & Mar Arenas-Parra & Raquel Quiroga-García & Celia Bilbao-Terol, 2022. "An extended best–worst multiple reference point method: application in the assessment of non-life insurance companies," Operational Research, Springer, vol. 22(5), pages 5323-5362, November.
    7. Samuel Adomako, 2020. "Environmental collaboration, sustainable innovation, and small and medium‐sized enterprise growth in sub‐Saharan Africa: Evidence from Ghana," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1609-1619, November.
    8. Jesús Morcillo-Bellido & Luis Isasi-Sanchez & Isabel Garcia-Gutierrez & Alfonso Duran-Heras, 2021. "Model Based Analysis of Innovation in Sustainable Supply Chains," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    9. Wu, Qun & Liu, Xinwang & Zhou, Ligang & Qin, Jindong & Rezaei, Jafar, 2024. "An analytical framework for the best–worst method," Omega, Elsevier, vol. 123(C).
    10. M. K. Dhillon & P. M. Rafi-Ul-Shan & H. Amar & F. Sher & S. Ahmed, 2023. "Flexible Green Supply Chain Management in Emerging Economies: A Systematic Literature Review," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 1-28, March.
    11. Amin Vafadarnikjoo & Madjid Tavana & Tiago Botelho & Konstantinos Chalvatzis, 2020. "A neutrosophic enhanced best–worst method for considering decision-makers’ confidence in the best and worst criteria," Annals of Operations Research, Springer, vol. 289(2), pages 391-418, June.
    12. Ding, Huiping & Zhao, Qilan & An, Zhirong & Tang, Ou, 2016. "Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 191-207.
    13. Maghsoud Amiri & Mohammad Hashemi-Tabatabaei & Mohammad Ghahremanloo & Mehdi Keshavarz-Ghorabaee & Edmundas Kazimieras Zavadskas & Arturas Kaklauskas, 2021. "Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM)," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    14. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.
    15. Mani, Venkatesh & Jabbour, Charbel Jose Chiappetta & Mani, Kavitha T.N., 2020. "Supply chain social sustainability in small and medium manufacturing enterprises and firms’ performance: Empirical evidence from an emerging Asian economy," International Journal of Production Economics, Elsevier, vol. 227(C).
    16. Wu, Qun & Liu, Xinwang & Qin, Jindong & Zhou, Ligang & Mardani, Abbas & Deveci, Muhammet, 2022. "An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    18. Halil Ibrahim Cicekdagi & Ertugrul Ayyildiz & Mehmet Cabir Akkoyunlu, 2023. "Enhancing search and rescue team performance: investigating factors behind social loafing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 119(3), pages 1315-1340, December.
    19. Junnan Wu & Xin Liu & Dianqi Pan & Yichen Zhang & Jiquan Zhang & Kai Ke, 2023. "Research on Safety Evaluation of Municipal Sewage Treatment Plant Based on Improved Best-Worst Method and Fuzzy Comprehensive Method," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    20. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).

    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:gam:jsusta:v:16:y:2024:i:2:p:506-:d:1314185. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.