The Impact of Adopting Big Data Technology on Decision-Making Quality in the Telecommunications Sector- An Applied Study on Telecommunications Companies Operating in Libya

This study aims to analyze the potential impact of big data on the quality of the decision-making process in Libyan telecommunications companies, represented by Libyana, Al-Madar Al-Jadeed, and Libya Telecom & Technology. To achieve this objective, primary data was collected by distributing a specially designed questionnaire to a sample of managers at the top and middle administrative levels within these companies. The study relied on simple regression analysis to examine the causal relationship between the key characteristics of big data (volume, velocity, variety) and the quality of managerial decision-making (decision-making effectiveness and decision-making efficiency). 
This analysis aims to provide scientific insights that help these companies enhance the efficiency of their investments in information technology infrastructure, enabling them to improve the accuracy, reliability, and quality of data used in decision-making. The study's findings also contribute to providing a practical framework through which Libyan telecommunications companies can develop their investment policies in the field of big data analytics, in addition to improving human resource efficiency through specialized training programs. Furthermore, the study offers recommendations to strengthen technological infrastructure to ensure optimal utilization of big data in supporting strategic decisions.