DEVELOPMENT AND VALIDATION OF RESEARCH INSTRUMENTS FOR BIG DATA ANALYTICS APPLICATION MODEL

Abstract

As human beings delve deeper into the information age, the rapid growth of big data analytics (BDA) can be seen among various private and public organisations. Most organisations have implemented BDA because it provides deep data-driven insights into competitive advantages that can be used for planning their future course of action. However, when these organisations try to use and manage big data (BD), they would find that obtaining quality and actual data from the massive, diverse, and sophisticated sets of data could become a big challenge. These sets of data have numerous traits (characteristics) that require efficient mechanisms for evaluating the quality of the big data involved. This study, therefore, aimed to examine the relationships between big data traits (BDTs) and data quality dimensions (DQDs) for the implementation of BDA, specifically in the Malaysian public sector. In order to carry out this study, a research instrument will need to be developed and validated. As the validity of a research instrument is established, the data collected throughout the data collection process is strengthened, allowing for increased confidence in the survey findings. Hence, this article outlines the development and validation of the research instrument. The developed instrument was validated using the Content Validation Ratio (CVR) and Content Validation Index (CVI) methods. This research found that 54 indicators were accepted and included in the final questionnaire.