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The Use of Big Data in Strategic Communication for Public Relations in Public and Private Sector Companies in Saudi Arabia: Survey Study

المصدر: المجلة الدولية للاتصال الاجتماعي
الناشر: جامعة عبد الحميد بن باديس مستغانم - كلية العلوم الإنسانية والاجتماعية - مخبر الدراسات الإعلامية والاتصالية
المؤلف الرئيسي: Youssef, Haytham Mohammed (Author)
المجلد/العدد: مج9, ع4
محكمة: نعم
الدولة: الجزائر
التاريخ الميلادي: 2022
الشهر: ديسمبر
الصفحات: 6 - 23
DOI: 10.53284/2120-009-004-001
ISSN: 2437-1181
رقم MD: 1341463
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Big Data | Strategic Communication | Public Relations
رابط المحتوى:
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المستخلص: The revolution brought by big data has evolved the way organisations used to operate. The implication of big data is potentially significant in strategic communication for public relations. It helps PR professionals in developing an understanding and manages the massive amount of data. Big data provides the professional of PR with an opportunity to make a decision based on evidence by analysing the past trends rather than making decisions that are solely based on intuitions and guesswork. The current research paper dives deeper into the values, benefits, challenges and risks that are associated with the adoption of big data in public relations to achieve strategic communication. The research paper covers Saudi Arabia’s public and private companies to analyse the utilize of big data in strategic communication for improving public relations. A sample of 100 PR practitioners within Saudi Arabia’s private and public companies are included in the research. The paper answers multiple questions regarding the implementation of big data and its extent in Saudi Arabia. The research paper bridge the literature gaps as most of the studies highlighted the European practitioners’ perspective regarding big data and its applications. However, the research paper shedlight on the perspective of Saudi Arabia’s practitioners regarding big data advantages, challenges, risks and application.

ISSN: 2437-1181