Abstract: 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.

Wan Mohd Haffiz Mohd Nasir, Rusli Abdullah, Yusmadi Yah Jusoh and Salfarina Abdullah, “Big Data Analytics Quality in Enhancing Healthcare Organizational Performance: A Conceptual Model Development” International Journal of Advanced Computer Science and Applications(IJACSA), 13(11), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131155

@article{Nasir2022,
title = {Big Data Analytics Quality in Enhancing Healthcare Organizational Performance: A Conceptual Model Development},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131155},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131155},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {11},
author = {Wan Mohd Haffiz Mohd Nasir and Rusli Abdullah and Yusmadi Yah Jusoh and Salfarina Abdullah}
}