UPM Institutional Repository

Big data analytics quality in enhancing healthcare organizational performance: a conceptual model development


Mohd Nasir, Wan Mohd Haffiz and Abdullah, Rusli and Jusoh, Yusmadi Yah and Abdullah, Salfarina (2022) Big data analytics quality in enhancing healthcare organizational performance: a conceptual model development. International Journal of Advanced Computer Science and Applications (IJACSA), 13 (11). art. no. 55. 480 - 487. ISSN 2158-107X; ESSN: 2156-5570


The advancement of Big Data Analytics (BDA) has aided numerous organizations in effectively and efficiently adopting BDA as a holistic solution. However, BDA quality assessment has not yet been fully addressed, therefore it is necessary to identify essential BDA quality factors to assure the enhancement of organizational performance, particularly in the healthcare sector. Hence, the goals of this study are to recognize and analyse the determining factors of BDA quality as well as to suggest a conceptual model for enhancing the performance of healthcare organizations via BDA quality assessment. The proposed conceptual model is based on a related theoretical model and previous research on BDA quality. The essential BDA quality factors being selected as determinants consist of reliability, completeness, accuracy, timeliness, format, accessibility, usability, maintainability, and portability. The findings of this ongoing study are used to develop a conceptual model that is proposed in line with the ten-research hypothesis and may offer a better assessment quality model to improve the performance of healthcare organizations.

Download File

Full text not available from this repository.

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.14569/IJACSA.2022.0131155
Publisher: The Science and Information Organization
Keywords: Big data analytics; BDA quality factors; BDA quality assessment; Organizational performance; Healthcare
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 21 Nov 2023 08:52
Last Modified: 21 Nov 2023 08:52
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.14569/IJACSA.2022.0131155
URI: http://psasir.upm.edu.my/id/eprint/100529
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item