Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52932
Title: Identifying the Key Big Data Analytics Capabilities in Bangladesh's Healthcare Sector
Contributor(s): Uddin Murad, Md Ahsan (author); Cetindamar, Dilek (author); Chakraborty, Subrata  (author)orcid 
Publication Date: 2022-06-09
Open Access: Yes
DOI: 10.3390/su14127077
Handle Link: https://hdl.handle.net/1959.11/52932
Abstract: The study explores the crucial big data analytics capabilities (BDAC) for healthcare in Bangladesh. After a rigorous and extensive literature review, we list a wide range of BDAC and empirically examine their applicability in Bangladesh's healthcare sector by consulting 51 experts with ample domain knowledge. The study adopted the DEcision MAking Trial and Evaluation Laboratory (DEMATEL) method. Findings highlighted 11 key BDAC, such as using advanced analytical techniques that could be critical in managing big data in the healthcare sector. The paper ends with a summary and puts forward suggestions for future studies.
Publication Type: Journal Article
Source of Publication: Sustainability, 14(12), p. 1-21
Publisher: MDPI AG
Place of Publication: Switzerland
ISSN: 2071-1050
Fields of Research (FoR) 2020: 460102 Applications in health
460103 Applications in life sciences
Socio-Economic Objective (SEO) 2020: 280115 Expanding knowledge in the information and computing sciences
200499 Public health (excl. specific population health) not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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