The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter?
Healthcare supply chains (HSCs) have been hard hit by disruptions such as COVID-19. Keeping pace during this interruption has been a significant challenge. HSCs' adaptability and collaboration using artificial intelligence techniques (AITs) have been recognized as key components of supply chain...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/8819/3/Manuscript%20TIS%20without%20highlight%20changes.pdf |
| _version_ | 1825625835376214016 |
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| author | Samadhiya, Ashutosh Yadav, Sanjeev Kumar, Anil Majumdar, Abhijit Luthra, Sunil Garza-Reyes, Jose Arturo Upadhyay, Arvind |
| author_facet | Samadhiya, Ashutosh Yadav, Sanjeev Kumar, Anil Majumdar, Abhijit Luthra, Sunil Garza-Reyes, Jose Arturo Upadhyay, Arvind |
| author_sort | Samadhiya, Ashutosh |
| collection | LMU |
| description | Healthcare supply chains (HSCs) have been hard hit by disruptions such as COVID-19. Keeping pace during this interruption has been a significant challenge. HSCs' adaptability and collaboration using artificial intelligence techniques (AITs) have been recognized as key components of supply chain resilience for managing disruption. The current study aims to investigate how AITs might help improve HSC resilience (HSCR) by facilitating improved adoption and collaboration throughout its operation. Data was collected from the Indian healthcare sector and analyzed using the partial least squares structural equation modeling (PLS-SEM) technique. Additionally, an examination was conducted to determine the potential moderating role of supply chain dynamism (SCD) on the adoption and cooperation of HSCs with HSCR. The research shows that AITs encourage HSC adaptability and collaboration in their operations and that HSCR results from both factors. Moreover, SCD does not moderate the link between HSC adoption and HSCR but does moderate the link between HSC cooperation and HSCR. By enhancing HSC adaptability and effective collaboration with AI-enabled systems, AITs may help HSC stakeholders deal with disruptions in healthcare sector operations. |
| first_indexed | 2024-07-09T04:07:12Z |
| format | Article |
| id | oai:repository.londonmet.ac.uk:8819 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2024-07-09T04:07:12Z |
| publishDate | 2023 |
| publisher | Elsevier |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:88192024-01-15T16:55:05Z https://repository.londonmet.ac.uk/8819/ The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? Samadhiya, Ashutosh Yadav, Sanjeev Kumar, Anil Majumdar, Abhijit Luthra, Sunil Garza-Reyes, Jose Arturo Upadhyay, Arvind 650 Management & auxiliary services Healthcare supply chains (HSCs) have been hard hit by disruptions such as COVID-19. Keeping pace during this interruption has been a significant challenge. HSCs' adaptability and collaboration using artificial intelligence techniques (AITs) have been recognized as key components of supply chain resilience for managing disruption. The current study aims to investigate how AITs might help improve HSC resilience (HSCR) by facilitating improved adoption and collaboration throughout its operation. Data was collected from the Indian healthcare sector and analyzed using the partial least squares structural equation modeling (PLS-SEM) technique. Additionally, an examination was conducted to determine the potential moderating role of supply chain dynamism (SCD) on the adoption and cooperation of HSCs with HSCR. The research shows that AITs encourage HSC adaptability and collaboration in their operations and that HSCR results from both factors. Moreover, SCD does not moderate the link between HSC adoption and HSCR but does moderate the link between HSC cooperation and HSCR. By enhancing HSC adaptability and effective collaboration with AI-enabled systems, AITs may help HSC stakeholders deal with disruptions in healthcare sector operations. Elsevier 2023-10-21 Article PeerReviewed text en cc_by_nc_nd_4 https://repository.londonmet.ac.uk/8819/3/Manuscript%20TIS%20without%20highlight%20changes.pdf Samadhiya, Ashutosh, Yadav, Sanjeev, Kumar, Anil, Majumdar, Abhijit, Luthra, Sunil, Garza-Reyes, Jose Arturo and Upadhyay, Arvind (2023) The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? Technology in Society, 75 (102394). pp. 1-15. ISSN 0160-791X https://www.sciencedirect.com/science/article/pii/S0160791X23001999 10.1016/j.techsoc.2023.102394 10.1016/j.techsoc.2023.102394 |
| spellingShingle | 650 Management & auxiliary services Samadhiya, Ashutosh Yadav, Sanjeev Kumar, Anil Majumdar, Abhijit Luthra, Sunil Garza-Reyes, Jose Arturo Upadhyay, Arvind The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? |
| title | The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? |
| title_full | The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? |
| title_fullStr | The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? |
| title_full_unstemmed | The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? |
| title_short | The influence of Artificial Intelligence techniques on disruption management: does supply chain dynamism matter? |
| title_sort | influence of artificial intelligence techniques on disruption management does supply chain dynamism matter |
| topic | 650 Management & auxiliary services |
| url | https://repository.londonmet.ac.uk/8819/3/Manuscript%20TIS%20without%20highlight%20changes.pdf |
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