Artificial Intelligence and Efficiency Operations in Abu Dhabi National Oil Company in UAE

Abstract

This study was conducted to investigate the effect of Artificial intelligence on the efficiency operations in Abu Dhabi oil and gas industry in UAE. This most especially in relation to quality of data, process efficiency, product-cost efficiency, task efficiency, process flexibility and quality of operations. The researcher used the survey descriptive research design, structured questionnaire and sampling strategies such as simple and stratified random sampling to garner data from participants. Primary data for the research scientific study was collected from 253 respondents as sample size out of 10563 people as target population in Abu Dhabi oil and gas industry in UAE. The tools for data analysis that were used include descriptive statistics, Pearson Linear Correlation Coefficient, regression analysis and Analysis of Variance. Statistical Package for the Social Sciences (SPSS) was used as a software to enter data into the computer for analysis. It was found out that the adoption of technological innovation of artificial intelligence has positive effects on quality of data, process efficiency, product-cost efficiency, task efficiency, process flexibility and quality of operations at UAE oil and gas companies. It was concluded that all governments in the world must put more emphasis on artificial intelligence (AI) implementation strategies because it has a positive impact on quality of data, process efficiency, product-cost efficiency, task efficiency, process flexibility and quality of operation which may act as an impetus to growth and development in any country. It was recommended that the top management of UAE should make more proactive policies that can help guide government and company officials in the best ways to execute artificial intelligence (AI) activities and programs so as to be more effective in government and organisational settings.