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Blockchain innovations for addressing pharmaceutical counterfeit in the global supply chain: a PLS–ANN approach.

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Title: Blockchain innovations for addressing pharmaceutical counterfeit in the global supply chain: a PLS–ANN approach.
Authors: Abumalloh, Rabab Ali1 (AUTHOR), Nilashi, Mehrbakhsh2 (AUTHOR) mehrbakhsh@ucsiuniversity.edu.my, Binti Tapsir, Siti Hamisah3 (AUTHOR), Shyu, Wen-Hwa4 (AUTHOR), Wei Han, Garry Tan2,5,6 (AUTHOR), Boon, Ooi Keng7,8,9 (AUTHOR) ooikengboon@gmail.com
Source: International Journal of Production Research. Apr2026, Vol. 64 Issue 7, p2636-2660. 25p.
Subjects: Blockchains, Drug counterfeiting, Innovation adoption, Pharmaceutical industry suppliers, Reliability in engineering, Warnings, Disclosure, Supply chains
Abstract: There are obvious benefits of the adoption of blockchain innovation within the supply chain of pharmaceutical businesses, but there are significant obstacles hindering widespread adoption. This research aims to explore the relationships between transparency and three variables: reliability, responsiveness, and agility of the pharmaceutical supply chain. Besides, we examined the impacts of these three factors on the perceived value of blockchain. The influence of the perceived value on the blockchain adoption intention was also examined. Furthermore, this research examines the relationship between the intention to adopt blockchain technology and the perceived medicine safety. A new model of adoption is developed based on the Resource-Based View (RBV) and evaluated from the perspectives of stakeholders in Malaysian pharmaceutical and healthcare companies. The model is analyzed using two sequential approaches of Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANNs). The findings revealed that supply chain transparency positively influences perceived reliability, responsiveness, and agility. These factors positively influence perceived value, which influences the adoption intention. Moreover, the results demonstrated that the adoption of blockchain can lead to safer medicines throughout the supply chain. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Blockchain innovations for addressing pharmaceutical counterfeit in the global supply chain: a PLS–ANN approach.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Apr2026, Vol. 64 Issue 7, p2636-2660. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+counterfeiting%22">Drug counterfeiting</searchLink><br /><searchLink fieldCode="DE" term="%22Innovation+adoption%22">Innovation adoption</searchLink><br /><searchLink fieldCode="DE" term="%22Pharmaceutical+industry+suppliers%22">Pharmaceutical industry suppliers</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Warnings%22">Warnings</searchLink><br /><searchLink fieldCode="DE" term="%22Disclosure%22">Disclosure</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink>
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  Data: There are obvious benefits of the adoption of blockchain innovation within the supply chain of pharmaceutical businesses, but there are significant obstacles hindering widespread adoption. This research aims to explore the relationships between transparency and three variables: reliability, responsiveness, and agility of the pharmaceutical supply chain. Besides, we examined the impacts of these three factors on the perceived value of blockchain. The influence of the perceived value on the blockchain adoption intention was also examined. Furthermore, this research examines the relationship between the intention to adopt blockchain technology and the perceived medicine safety. A new model of adoption is developed based on the Resource-Based View (RBV) and evaluated from the perspectives of stakeholders in Malaysian pharmaceutical and healthcare companies. The model is analyzed using two sequential approaches of Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANNs). The findings revealed that supply chain transparency positively influences perceived reliability, responsiveness, and agility. These factors positively influence perceived value, which influences the adoption intention. Moreover, the results demonstrated that the adoption of blockchain can lead to safer medicines throughout the supply chain. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/00207543.2025.2581253
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 2636
    Subjects:
      – SubjectFull: Blockchains
        Type: general
      – SubjectFull: Drug counterfeiting
        Type: general
      – SubjectFull: Innovation adoption
        Type: general
      – SubjectFull: Pharmaceutical industry suppliers
        Type: general
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Warnings
        Type: general
      – SubjectFull: Disclosure
        Type: general
      – SubjectFull: Supply chains
        Type: general
    Titles:
      – TitleFull: Blockchain innovations for addressing pharmaceutical counterfeit in the global supply chain: a PLS–ANN approach.
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            NameFull: Abumalloh, Rabab Ali
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            NameFull: Nilashi, Mehrbakhsh
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            NameFull: Binti Tapsir, Siti Hamisah
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            NameFull: Shyu, Wen-Hwa
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              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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