Identifying the Key Big Data Analytics Capabilities in Bangladesh's Healthcare Sector
File version
Version of Record (VoR)
Author(s)
Cetindamar, Dilek
Chakraborty, Subrata
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
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.
Journal Title
Sustainability
Conference Title
Book Title
Edition
Volume
14
Issue
12
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation
Murad, MAU; Cetindamar, D; Chakraborty, S, Identifying the Key Big Data Analytics Capabilities in Bangladesh's Healthcare Sector, Sustainability, 2022, 14 (12), pp. 7077