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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

Digitalization in the blood supply chain : A systematic literature review

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pp. 1911–1919Vol. 45Issue 7October 2024DOI: 10.47974/JIOS-1742XML
Received:
09 Apr 2024
Published Online:
01 Oct 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1742
Pages:
1911–1919

Abstract

This study aims to investigate how the blood supply chain (BSC) has embraced digitalization. This study identifies the factors that influence and pose obstacles to the adoption of digital technologies in the BSC. In order to identify the articles available, this study uses a methodical literature review. PRISMA techniques were used in this study. Only thirteen articles are discovered to be pertinent to digitalization in the field of BSC after the article has been properly screened. In the BSC, this study covered the factors that influence digitalization adoption. The study is suggested along with a theoretical framework and some propositions. Additionally, this study identified barriers to the BSC adoption of digitalization. Due to the discussion of adoption drivers and challenges, this article will be beneficial to managers and service providers. 

Keywords

Subject Classifications

90B10I11

References

[1] P. Bagekari, R. Gorhekar, A. Ansari, and P. V-Jani, "Securing blood distribution systems using blockchain," in Smart Innovation, Systems and Technologies, vol. 303, pp. 517–532 (2022). DOI: 10.1007/978-981-19-2719-5_49/COVER.[2] M. Çağlıyangil, S. Erdem, and G. Özdağoğlu, "A blockchain based framework for blood distribution," in Contributions to Management Science, pp. 63–82 (2020). DOI: 10.1007/978-3-030-29739-8_4/COVER.[3] X. Chen, L. Liu, and X. Guo, “Analysing repeat blood donation behavior via big data,” Industrial Management and Data Systems, vol. 121, no. 2, pp. 192–208 (2021). DOI: 10.1108/IMDS-07-2020-0393/FULL/PDF.[4] M. Eghtesadifard and F. Jozan, “A systematic literature review on the blood supply chain: exploring the trend and future research directions,” Journal of Ambient Intelligence and Humanized Computing, vol. 13, no. 2, pp. 1173–1200 (2022). DOI: 10.1007/s12652-021-03563-5.[5] A. Hanelt, R. Bohnsack, D. Marz, and C. A. Antunes Marante, “A systematic review of the literature on digital transformation: insights and implications for strategy and organizational change,” Journal of Management Studies, vol. 58, no. 5, pp. 1159–1197 (2021). DOI: 10.1111/JOMS.12639.[6] H. T. Le, T. Thanh, L. Nguyen, T. A. Nguyen, X. S. Ha, and N. Duong-Trung, “BloodChain: A blood donation network managed by blockchain technologies,” Network 2022, vol. 2, no. 1, pp. 21–35 (2022). DOI: 10.3390/NETWORK2010002.[7] M. Meneses, D. Santos, and A. Barbosa-Póvoa, “Modelling the blood supply chain – From strategic to tactical decisions,” European Journal of Operational Research (2022). DOI: 10.1016/J.EJOR.2022.06.005.[8] D. Moher et al., “Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement,” Revista Espanola de Nutricion Humana y Dietetica, vol. 20, no. 2, pp. 148–160 (2016). DOI: 10.1186/2046-4053-4-1/TABLES/4.[9] P. Mora and C. A. S. Araujo, “Delivering blood components through drones: a lean approach to the blood supply chain,” Supply Chain Forum: An International Journal, vol. 23, no. 2, pp. 113–123 (2022). DOI: 10.1080/16258312.2021.1984167.[10] A. F. Osorio, S. C. Brailsford, and H. K. Smith, “A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making,” International Journal of Production Research, vol. 53, no. 24, pp. 7191–7212 (2015). DOI: 10.1080/00207543.2015.1005766.[11] M. M. Queiroz, S. C. F. Pereira, R. Telles, and M. C. Machado, “Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities,” Benchmarking, vol. 28, no. 5, pp. 1761–1782 (2019). DOI: 10.1108/BIJ-12-2018-0435.[12] T. Senthil Kumar, S. P. A. S. D. V., “Smart blood management and tracking system,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 1 (2019).[13] B. Zahiri and M. S. Pishvaee, “Blood supply chain network design considering blood group compatibility under uncertainty,” International Journal of Production Research, vol. 55, no. 7, pp. 2013–2033 (2017). DOI: 10.1080/00207543.2016.1262563.
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