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An Artificial Intelligences’ Impact in Achieving Strategic Alignment at Jordan Water Company - Miyahuna

المصدر: مجلة رماح للبحوث والدراسات
الناشر: مركز البحث وتطوير الموارد البشرية - رماح
المؤلف الرئيسي: Abu Joma, Mahmoud Hussein (Author)
المجلد/العدد: ع58
محكمة: نعم
الدولة: الأردن
التاريخ الميلادي: 2021
الشهر: سبتمبر
الصفحات: 313 - 334
DOI: 10.33953/1371-000-058-014
ISSN: 2392-5418
رقم MD: 1163231
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EcoLink
مواضيع:
كلمات المؤلف المفتاحية:
Artificial Intelligence | Expert Systems | Neural Networks | Genetic Algorithm Networks | Strategic Alignment
رابط المحتوى:
صورة الغلاف QR قانون

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LEADER 02961nam a2200229 4500
001 1906647
024 |3 10.33953/1371-000-058-014 
041 |a eng 
044 |b الأردن 
100 |9 623399  |a Abu Joma, Mahmoud Hussein  |e Author 
245 |a An Artificial Intelligences’ Impact in Achieving Strategic Alignment at Jordan Water Company - Miyahuna 
260 |b مركز البحث وتطوير الموارد البشرية - رماح  |c 2021  |g سبتمبر 
300 |a 313 - 334 
336 |a بحوث ومقالات  |b Article 
520 |b The study aimed to identify the impact of artificial intelligence in achieving strategic alignment in its (business strategy, IT strategy, IT structure and processes, and business infrastructure) dimensions at Jordan Water Company - Miyahuna. The study population consisted of all employees of Jordan Water Company - Miyahuna. As for the inspection and analysis unit, it is represented by the following administrative titles: (director of directorate, section head, unit head, unit head, and employee) of the (347) of the General Administration employees- Amman. Due to the small population of the study, a comprehensive survey method was applied by distributing the study questionnaire to all elements of the study population. Therefore, (347) questionnaires will be distributed. Table (2) shows the number of employees and the inspection and analysis unit. The results suggests that there is a statistically significant impact at the level of significance (α = 0.05) for using artificial intelligence (expert systems, neural networks and genetic algorithms networks) in the strategic alignment in its (business strategy, IT strategy, It structure and processes, and business infrastructure) dimensions. Based on the concluded results, the study recommends the companies to focus on using artificial intelligence applications, update them continuously and keep pace with developments due to its impact in bringing about strategic alignment for organizations and urging companies to train their employees on advanced technologies on ongoing basis to increase their ability to deal with artificial intelligence and benefit from its impacts effectively, in addition to the companies' compliance with all standards agreed in the business strategy and other strategies in order to achieve their established goals in line and alignment with their various strategies. 
653 |a شركات المياه  |a التوافق الاستراتيجي  |a الذكاء الاصطناعي  |a الأردن 
692 |b Artificial Intelligence  |b Expert Systems  |b Neural Networks  |b Genetic Algorithm Networks  |b Strategic Alignment 
773 |4 الاقتصاد  |6 Economics  |c 014  |e Remah Review for Research and Studies  |f Rimāḥ li-l-buḥūṯ wa al-dirāsāt  |l 058  |m ع58  |o 1371  |s مجلة رماح للبحوث والدراسات  |v 000  |x 2392-5418 
856 |u 1371-000-058-014.pdf 
930 |d y  |p y  |q n 
995 |a EcoLink 
999 |c 1163231  |d 1163231 

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