The Impact of Big Data on Organizational Decision Making: A Structural Equation Modeling Approach

Abstract

Big data has become an integral part of organizational decision making in recent years. The abundance of data and the advancement of technology have made it possible for organizations to collect, store, and analyze large amounts of data. However, the impact of big data on organizational decision making is not well understood. The purpose of this study is to examine the relationship between big data and organizational decision making using a structural equation modeling approach. The proposed model includes the variables of big data, organizational decision making, data quality, analytical tools and decision maker’s ability to process and interpret data. By using a survey of managers and decision makers from different industries, and analyzing the data using SEM techniques, this study aims to provide insight into the impact of big data on organizational decision making and the moderating effects of data quality, analytical tools, and decision maker's ability to process and interpret data. The results of this study will help organizations to better understand the factors that influence the effectiveness of big data in decision making.