Business Administration إدارة الاعمال
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Browsing Business Administration إدارة الاعمال by Author "Ala Ibrahim Mohammad Awad"
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- ItemUsing big data for Enhancing competitive strategy: The Case of Dairy in Palestine(Al-Quds University, 2023-06-11) Ala Ibrahim Mohammad Awad; الاء ابراهيم محمد عوضThis study aims to clarify the impact of big data technology on the competitive advantage of Palestinian dairy companies. The descriptive and interpretive approach was used to achieve this study's objectives. A comprehensive survey was applied to the study population, which numbered 15 dairy factories. The sample of the study included the five largest dairy factories in Palestine, namely Al-Junaidi Company in Hebron, Al-Jabrini Company in Hebron, Hamouda Company in Jerusalem, Candia Company in Ramallah, and the dairy factory located within the Arab Project Company in Jericho. The researcher prepared a questionnaire to obtain the necessary data for this study, and the data was collected and processed statistically using the Statistical Package for Social Sciences SPSS program. In addition, questions were developed for interviews with employees of dairy companies, and the data collected were analyzed using the VRIO model. The study reached several results, the most important of which are: data collection and analysis helps companies increase their competitive advantage because it helps to know the market more, know customers' needs more accurately, and monitor competitors in the market. The results also showed that no dairy company adopts a department dedicated to data collection and analysis using modern methods and that there is an insufficient understanding among employees about big data technology and its importance in increasing competitive advantage and market share. In light of the results of the study, one could recommend the need to carry out awareness courses and workshops that could help employees to learn about big data technology.It is highly importance to learn how to deal with big data that every dairy company should own a specialized department for collecting, processing and analyzing data using modern methods.