IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i20p11466-d658474.html
   My bibliography  Save this article

Evaluation and Classification Risks of Implementing Blockchain in the Drug Supply Chain with a New Hybrid Sorting Method

Author

Listed:
  • Parisa Sabbagh

    (DISA-MIS Department, University of Salerno, 84084 Fisciano, Italy)

  • Rana Pourmohamad

    (ASU School of Computing, Informatics, and Decision System Engineering, Arizona State University, Tempe, AZ 85281, USA)

  • Marischa Elveny

    (Department of Data Science & Computational Intelligence Research Group, Universitas Sumatera Utara, Medan 20222, Indonesia)

  • Mohammadali Beheshti

    (University of Houston-Clear Lake, Department of Science and Engineering, Houston, TX 77058, USA)

  • Afshin Davarpanah

    (Data Science & Computational Intelligence Research Group, Universitas Medan Area, Medan 20112, Indonesia)

  • Ahmed Sayed M. Metwally

    (Department of Mathematics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia)

  • Shafaqat Ali

    (Department of Environmental Science and Engineering, Government College University, Faisalabad 38000, Pakistan
    Department of Biological Sciences and Technology, China Medical University, Taichung 40402, Taiwan)

  • Amin Salih Mohammed

    (Department of Computer Engineering, College of Engineering and Computer Science, Lebanese French University, Erbil 44001, Kurdistan Region, Iraq
    Department of Software and Informatics Engineering, Salahaddin University-Erbil, Erbil 44001, Kurdistan Region, Iraq)

Abstract

In blockchain technology, all registered information, from the place of production of the product to its point of sale, is recorded as permanent and unchangeable, and no intermediary has the ability to change the data of other members and even the data registered by them without public consensus. In this way, users can trust the accuracy of the data. Blockchain systems have a wide range of applications in the medical and health sectors, from creating an integrated system for recording and tracking patients’ medical records to creating transparency in the drug supply chain and medical supplies. However, implementing blockchain technology in the supply chain has limitations and sometimes has risks. In this study, BWM methods and VIKORSort have been used to classify the risks of implementing blockchain in the drug supply chain. The results show that cyberattacks, double spending, and immutability are very dangerous risks for implementation of blockchain technology in the drug supply chain. Therefore, the risks of blockchain technology implementation in the drug supply chain have been classified based on a literature review and opinions of the experts. The risks of blockchain technology implementation in the supply chain were determined from the literature review.

Suggested Citation

  • Parisa Sabbagh & Rana Pourmohamad & Marischa Elveny & Mohammadali Beheshti & Afshin Davarpanah & Ahmed Sayed M. Metwally & Shafaqat Ali & Amin Salih Mohammed, 2021. "Evaluation and Classification Risks of Implementing Blockchain in the Drug Supply Chain with a New Hybrid Sorting Method," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11466-:d:658474
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/20/11466/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/20/11466/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ying fan and Adonis Yatchew, 2016. "Introduction," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    2. J. Leon Zhao & Shaokun Fan & Jiaqi Yan, 2016. "Overview of business innovations and research opportunities in blockchain and introduction to the special issue," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-7, December.
    3. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    4. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    5. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    6. Marten Risius & Kai Spohrer, 2017. "A Blockchain Research Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(6), pages 385-409, 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. Erfan Babaee Tirkolaee & Alireza Goli & Hêriş Golpîra & Ernesto D. R. Santibañez Gonzalez, 2023. "Sustainable Global Supply Chain Management from an International Perspective," Sustainability, MDPI, vol. 15(16), pages 1-2, August.

    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. Randy Priem, 2020. "Distributed ledger technology for securities clearing and settlement: benefits, risks, and regulatory implications," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
    2. Liang Zhou & Lin Zhang & Ying Zhao & Ruoshu Zheng & Kaiwen Song, 2021. "A scientometric review of blockchain research," Information Systems and e-Business Management, Springer, vol. 19(3), pages 757-787, September.
    3. Schlecht, Laura & Schneider, Sabrina & Buchwald, Arne, 2021. "The prospective value creation potential of Blockchain in business models: A delphi study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Gligor, David M. & Pillai, Kishore Gopalakrishna & Golgeci, Ismail, 2021. "Theorizing the dark side of business-to-business relationships in the era of AI, big data, and blockchain," Journal of Business Research, Elsevier, vol. 133(C), pages 79-88.
    5. Kowalski, Michał & Lee, Zach W.Y. & Chan, Tommy K.H., 2021. "Blockchain technology and trust relationships in trade finance," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    6. Lai, Kee-hung & Feng, Yunting & Zhu, Qinghua, 2023. "Digital transformation for green supply chain innovation in manufacturing operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    7. Khalid Ahmed Al-Ansari & Ahmet Faruk Aysan, 2021. "More than ten years of Blockchain creation: How did we use the technology and which direction is the research heading? [Plus de dix ans de création Blockchain : Comment avons-nous utilisé la techno," Working Papers hal-03343048, HAL.
    8. Witold Nowiński & Miklós Kozma, 2017. "How Can Blockchain Technology Disrupt the Existing Business Models?," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 5(3), pages 173-188.
    9. Su, Dan & Zhang, Lijun & Peng, Hua & Saeidi, Parvaneh & Tirkolaee, Erfan Babaee, 2023. "Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    10. Fink, Alexander A. & Klöckner, Maximilian & Räder, Tobias & Wagner, Stephan M., 2022. "Supply chain management accelerators: Types, objectives, and key design features," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    11. Lee, Jei Young, 2019. "A decentralized token economy: How blockchain and cryptocurrency can revolutionize business," Business Horizons, Elsevier, vol. 62(6), pages 773-784.
    12. Xu, Xiaoping & He, Ping & Zhou, Li & Cheng, T.C.E., 2023. "Coordination of a platform-based supply chain in the marketplace or reselling mode considering cross-channel effect and blockchain technology," European Journal of Operational Research, Elsevier, vol. 309(1), pages 170-187.
    13. Sun, Yi & Jiang, Shiqing & Jia, Wanjiao & Wang, Yu, 2022. "Blockchain as a cutting-edge technology impacting business: A systematic literature review perspective," Telecommunications Policy, Elsevier, vol. 46(10).
    14. Niu, Baozhuang & Ruan, Yiyuan & Xu, Haotao, 2023. "Turn a blind eye? E-tailer's blockchain participation considering upstream competition between copycats and brands," International Journal of Production Economics, Elsevier, vol. 265(C).
    15. Riya Sapra & Parneeta Dhaliwal, 2021. "Blockchain: The Perspective Future of Technology," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 16(2), pages 1-20, April.
    16. Cao, Yu & Yi, Chaoqun & Wan, Guangyu & Hu, Hanli & Li, Qingsong & Wang, Shouyang, 2022. "An analysis on the role of blockchain-based platforms in agricultural supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    17. Qilei Ren & Ka Lok Man & Muqing Li & Bingjie Gao & Jieming Ma, 2019. "Intelligent design and implementation of blockchain and Internet of things–based traffic system," International Journal of Distributed Sensor Networks, , vol. 15(8), pages 15501477198, August.
    18. Monika Mačiulienė & Aelita Skaržauskienė, 2021. "Conceptualizing blockchain‐based value co‐creation: A service science perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 330-341, May.
    19. Niu, Baozhuang & Xu, Haotao & Chen, Lei, 2022. "Creating all-win by blockchain in a remanufacturing supply chain with consumer risk-aversion and quality untrust," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    20. Zhu, Qingyun & Bai, Chunguang & Sarkis, Joseph, 2022. "Blockchain technology and supply chains: The paradox of the atheoretical research discourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(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:13:y:2021:i:20:p:11466-:d:658474. 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.