THE IMPACT OF BIG DATA ON STRATEGIC FINANCIAL PERFORMANCE IN JORDANIAN PUBLIC SHAREHOLDING INDUSTRIAL COMPANIES
This study aimed to demonstrate the impact of big data on the strategic financial performance of Jordanian public shareholding industrial companies, the study relied on the descriptive approach, the analytical approach, and the inferential approach, as they are commensurate with the nature of the study, and the study population consisted of public shareholding industrial companies in Jordan, which numbered (54) companies until the end of 2020. The study relied on the theory of the organization, the institution, and the establishment in the interpretation of the study variables. Statistical methods were used, which centered on Pearson's correlation coefficient, variance inflation factor (VIF) and tolerance variance (Tolerance) to test the presence of the phenomenon of multicollinearity. In addition to using Multiple and Stepwise Linear Regression analysis to test the study's hypotheses. The study reached many results, the most important of which is the presence of a strong positive relationship between big data with the strategic financial performance of Jordanian industrial companies. As for the most important recommendations, they crystallized on increasing the awareness of the management of industrial companies on the importance of the big data technology and its role in achieving the strategic goals of the company, especially its financial one, and that is done by reviewing the findings of companies around the world that have committed to applying this technology and exploring its impact on their strategic financial assessment.
Big Data: Strategic Financial Performance: Jordanian Public Shareholding Industrial Companies