Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/52484
Title: | Public Procurement, Big Data Analytics Capabilities, and Healthcare Supply Chain Sustainability | Contributor(s): | Murad, Md Ahsan Uddin (author); Kozanoglu, Dilek Cetindamar (author); Chakraborty, Subrata (author)![]() |
Publication Date: | 2022-01-04 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/52484 | Open Access Link: | https://scholarspace.manoa.hawaii.edu/bitstream/10125/79365/0030.pdf | Abstract: | Big data analytics (BDA) is considered the most critical supply chain activity for organizations. Implementing BDA requires specialized infrastructure coupled with specialized analytical expertise. Most of the existing research focuses on building BDA capabilities or perceived benefits of organizations' BDA capabilities. However, the benefits of having BDA capabilities, neither immediately visible nor straightforward. Optimizing procurement is one of the many intermediate factors that influence BDA capabilities' impact on the supply chain's sustainability performance. This paper has analyzed the existing literature to develop a conceptual framework to investigate the relationships among procurement optimization, BDA capabilities, and healthcare sustainable supply chain. | Publication Type: | Conference Publication | Conference Details: | HICSS-55 (2022): 55th Annual Hawaii International Conference on System Sciences, Hawaii, United States of America, 3rd - 7th January, 2022 | Source of Publication: | Proceedings of the 55th Hawaii International Conference on System Sciences, p. 296-303 | ISSN: | 2572-6862 | Fields of Research (FoR) 2020: | 460102 Applications in health 460209 Planning and decision making 460999 Information systems not elsewhere classified |
Socio-Economic Objective (SEO) 2020: | 200499 Public health (excl. specific population health) not elsewhere classified 280115 Expanding knowledge in the information and computing sciences |
Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | https://scholarspace.manoa.hawaii.edu/communities/32d42543-f8b4-45fb-8c50-11a42cb8fe9a https://scholarspace.manoa.hawaii.edu/browse/title?scope=32d42543-f8b4-45fb-8c50-11a42cb8fe9a&startsWith=P |
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Appears in Collections: | Conference Publication School of Science and Technology |
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openpublished/PublicChakarborty2022ConferencePaper.pdf | Published Version | 921.44 kB | Adobe PDF Download Adobe | View/Open |
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