Identifying the Key Big Data Analytics Capabilities in Bangladesh’s Healthcare Sector

Murad, AU; Cetindamar Kozanoglu, D; Chakraborty, S

Identifying the Key Big Data Analytics Capabilities in Bangladesh’s Healthcare Sector

Murad, AU Cetindamar Kozanoglu, D

Chakraborty, S

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Sustainability, 2022, pp. 1-21
Issue Date:: 2022-06-09

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Field	Value	Language
dc.contributor.author	Murad, AU
dc.contributor.author	Cetindamar Kozanoglu, D https://orcid.org/0000-0002-0457-3258
dc.contributor.author	Chakraborty, S
dc.date.accessioned	2022-06-09T23:37:58Z
dc.date.available	2022-06-09T23:37:58Z
dc.date.issued	2022-06-09
dc.identifier.citation	Sustainability, 2022, pp. 1-21
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10453/158042
dc.description.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.
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Sustainability
dc.relation.isbasedon	10.3390/su14127077
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	12 Built Environment and Design
dc.title	Identifying the Key Big Data Analytics Capabilities in Bangladesh’s Healthcare Sector
dc.type	Journal Article
utslib.for	12 Built Environment and Design
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2022-06-09T23:37:54Z
pubs.publication-status	Published

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.

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http://hdl.handle.net/10453/158042