IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v32y2023i2d10.1007_s10726-022-09811-z.html
   My bibliography  Save this article

Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL

Author

Listed:
  • Lu Chen

    (Nanjing University of Aeronautics and Astronautics)

  • Ayad Hendalianpour

    (Soshianest Enterprise Miner)

  • Mohammad Reza Feylizadeh

    (Islamic Azad University)

  • Haiyan Xu

    (Nanjing University of Aeronautics and Astronautics)

Abstract

Based on previous evidence, the use of blockchain for improving Supply Chains (SCs) regarding humanitarian projects has received attention over the past five years. The present study is innovative in investigating crucial parameters affecting the using of Blockchain Technology (BT) in Humanitarian Supply Chains (HSCs). More precisely, this study emphasizes parameters that affect blockchain in the HSCs and presents a new fuzzy large-scale group decision-making trial and evaluation laboratory (fuzzy large-scale group-DEMATEL) approach to analyze the interdependence of contributing factors for using BT in HSCs. This method consists of two stages: (1) clustering the large-scale group-experts into small subgroups by their characteristics, and (2) identifying the key factors affecting BT in HSCs with a novel fuzzy large-scale group-DEMATEL approach. According to experts, in this study, among the 25 evaluated factors, disintermediation has been identified as the most important one, followed by anonymity and security. A closer look reveals that 13 and 12 factors have been “cause” and “effect” factors, respectively. Our research can be used to promote the effectiveness of using BT in HSCs, so as to promote the proper distribution of relief materials in practical disasters.

Suggested Citation

  • Lu Chen & Ayad Hendalianpour & Mohammad Reza Feylizadeh & Haiyan Xu, 2023. "Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL," Group Decision and Negotiation, Springer, vol. 32(2), pages 359-394, April.
  • Handle: RePEc:spr:grdene:v:32:y:2023:i:2:d:10.1007_s10726-022-09811-z
    DOI: 10.1007/s10726-022-09811-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-022-09811-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10726-022-09811-z?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. Chenxi Zhang & Meng Zhao & Lichao Zhao & Qinfei Yuan, 2021. "A Consensus Model for Large-Scale Group Decision-Making Based on the Trust Relationship Considering Leadership Behaviors and Non-cooperative Behaviors," Group Decision and Negotiation, Springer, vol. 30(3), pages 553-586, June.
    2. Imbulana Arachchi, Janaki & Managi, Shunsuke, 2021. "Preferences for energy sustainability: Different effects of gender on knowledge and importance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    3. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    4. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).
    5. Shougi S. Abosuliman & Saleem Abdullah & Muhammad Qiyas, 2020. "Three-Way Decisions Making Using Covering Based Fractional Orthotriple Fuzzy Rough Set Model," Mathematics, MDPI, vol. 8(7), pages 1-31, July.
    6. Yuan-Wei Du & Yu-Kun Shan, 2021. "A Dynamic Intelligent Recommendation Method Based on the Analytical ER Rule for Evaluating Product Ideas in Large-Scale Group Decision-Making," Group Decision and Negotiation, Springer, vol. 30(6), pages 1373-1393, December.
    7. Ribeiro, Rita Almeida & Marques Pereira, Ricardo Alberto, 2003. "Generalized mixture operators using weighting functions: A comparative study with WA and OWA," European Journal of Operational Research, Elsevier, vol. 145(2), pages 329-342, March.
    8. Bismark Appiah Addae & Weiming Wang & Haiyan Xu & Mohammad Reza Feylizadeh, 2021. "Sustainable Evaluation of Factors Affecting Energy-Resource Conflict in the Western Region of Ghana Using Large Group-DEMATEL," Group Decision and Negotiation, Springer, vol. 30(4), pages 847-877, August.
    9. Raja Jayaraman & Khaled Salah & Nelson King, 2019. "Improving Opportunities in Healthcare Supply Chain Processes via the Internet of Things and Blockchain Technology," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 14(2), pages 49-65, April.
    10. Chunguang Bai & Joseph Sarkis, 2020. "A supply chain transparency and sustainability technology appraisal model for blockchain technology," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2142-2162, April.
    11. Feifei Jin & Jinpei Liu & Ligang Zhou & Luis Martínez, 2021. "Consensus-Based Linguistic Distribution Large-Scale Group Decision Making Using Statistical Inference and Regret Theory," Group Decision and Negotiation, Springer, vol. 30(4), pages 813-845, August.
    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. Firuz Kamalov & Mehdi Gheisari & Yang Liu & Mohammad Reza Feylizadeh & Sherif Moussa, 2023. "Critical Controlling for the Network Security and Privacy Based on Blockchain Technology: A Fuzzy DEMATEL Approach," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    2. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Moslem, Sarbast & Coffman, D'Maris, 2024. "Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method," Applied Energy, Elsevier, vol. 360(C).

    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. Muzammil Hussain & Waheed Javed & Owais Hakeem & Abdullah Yousafzai & Alisha Younas & Mazhar Javed Awan & Haitham Nobanee & Azlan Mohd Zain, 2021. "Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review," Sustainability, MDPI, vol. 13(24), pages 1-23, December.
    2. Sudhanshu Joshi & Manu Sharma, 2022. "Sustainable Performance through Digital Supply Chains in Industry 4.0 Era: Amidst the Pandemic Experience," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    3. Jacob Lohmer & Elias Ribeiro da Silva & Rainer Lasch, 2022. "Blockchain Technology in Operations & Supply Chain Management: A Content Analysis," Sustainability, MDPI, vol. 14(10), pages 1-88, May.
    4. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    5. Feifei Jin & Chang Li & Jinpei Liu & Ligang Zhou, 2021. "Distribution Linguistic Fuzzy Group Decision Making Based on Consistency and Consensus Analysis," Mathematics, MDPI, vol. 9(19), pages 1-19, October.
    6. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain," Operations Management Research, Springer, vol. 16(3), pages 1562-1576, September.
    7. Muhammad Rahies Khan & Amir Manzoor, 2021. "Application and Impact of New Technologies in the Supply Chain Management During COVID-19 Pandemic: A Systematic Literature Review," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 277-292.
    8. Fattahi, Mohammad & Keyvanshokooh, Esmaeil & Kannan, Devika & Govindan, Kannan, 2023. "Resource planning strategies for healthcare systems during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 192-206.
    9. Isabel Marques & Zélia Serrasqueiro & Fernanda Nogueira, 2021. "Managers’ Competences in Private Hospitals for Investment Decisions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    10. Paul, Ananna & Shukla, Nagesh & Trianni, Andrea, 2023. "Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    11. Tang, Ming & Liao, Huchang, 2021. "Failure mode and effect analysis considering the fairness-oriented consensus of a large group with core-periphery structure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Davies, Jennifer & Sharifi, Hossein & Lyons, Andrew & Forster, Rick & Elsayed, Omar Khaled Shokry Mohamed, 2024. "Non-fungible tokens: The missing ingredient for sustainable supply chains in the metaverse age?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    13. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    14. Jie Deng & Xuwei Luo & Mengsi Hu, 2022. "Implications of a Carbon Tax Mechanism in Remanufacturing Outsourcing on Carbon Neutrality," IJERPH, MDPI, vol. 19(9), pages 1-21, May.
    15. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).
    16. Sachin Kumar Mangla & Yiğit Kazançoğlu & Abdullah Yıldızbaşı & Cihat Öztürk & Ahmet Çalık, 2022. "A conceptual framework for blockchain‐based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain," Business Strategy and the Environment, Wiley Blackwell, vol. 31(8), pages 3693-3716, December.
    17. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    18. Gilani Larimi, Niloofar & Azhdari, Abolghasem & Ghousi, Rouzbeh & Du, Bo, 2022. "Integrating GIS in reorganizing blood supply network in a robust-stochastic approach by combating disruption damages," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    19. Seyyed-Alireza Radmanesh & Alireza Haji & Omid Fatahi Valilai, 2023. "Blockchain-Based Architecture for a Sustainable Supply Chain in Cloud Architecture," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    20. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.

    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:spr:grdene:v:32:y:2023:i:2:d:10.1007_s10726-022-09811-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.