Big Data Quality in Healthcare Organizations in Saudi Arabia

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Shaymaa Mousa
Rabab AlHarbi

Abstract

The adoption of Big Data analytics by organizations has been expanding across numerous industries, bringing both advantages and challenges. The primary challenge stems from the insufficient quality of data used in the analysis process, as well as its impact on the value of the acquired insights. Therefore, the objective of this research is to investigate the factors that influence the quality of Big Data in Saudi Arabian healthcare organizations. These factors include clear business objectives, data source, data analysis, data quality dimensions, customer engagement, and assessment tools. To investigate these aspects, a descriptive and analytical design is used.  Additionally, a questionnaire is distributed in both Arabic and English to 350 respondents working within Saudi Arabia's healthcare industry from a variety of occupations and management positions. To analyse the data acquired via the questionnaire, the statistical package for the social sciences (SPSS) is employed. The study's results indicate that the factors analysed have a significant effect on the quality of Big Data in healthcare organizations. The findings of this study will fill the gap in the existing literature by addressing factors that have not been explored in combination previously.

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How to Cite
Mousa, S., & AlHarbi, R. (2022). Big Data Quality in Healthcare Organizations in Saudi Arabia. The International Journal of Business & Management, 10(4). https://doi.org/10.24940/theijbm/2022/v10/i4/BM2204-012