Big Data and Its Impact on Organizational Ambidexterity: Case Study "Hakim" System Used in Al-Hussein New Salt Hospital

The study aims to find out the impact of big data on organizational Ambidexterity in "Hakim" system used in Al-Hussein New Salt Hospital. The analytical descriptive approach is used in the study and analysis of data, the total study community amounted to (2087) users and active accounts, a questionnaire was designed and distributed to the members of the study population, and the simple random samples selected where (323) questionnaires, and the response rate reached (81%), and (290) of them were valid for statistical analysis. Statistical methods, arithmetic average, standard deviation, Cronbach alpha test, multiple and simple regression, and Pearson test were used. The Statistical Package for Social Science (SPSS) was used to analyze the Data collected, analyzed, and test the hypotheses. The study found a statistically significant impact of big data in its dimensions (diversity, size, speed and experience in using big data applications and infrastructure) on organizational ambidexterity in its combined dimensions (exploring and exploiting opportunities, exploring and avoiding threats) in "Hakim" system used at Al-Hussein New Salt Hospital The study set a number of recommendations, including working to increase the interest of the hospital management in updating the mechanisms and means of storing big data produced by "Hakim" system at high speeds and providing modern infrastructure tools necessary to support "Hakim" system in the hospital.