اثر تطبيق الذكاء الاصطناعي والذكاء العاطفي على جودة اتخاذ القرارات

صالح, فاتن عبد االله (2009) اثر تطبيق الذكاء الاصطناعي والذكاء العاطفي على جودة اتخاذ القرارات. Masters thesis, جامعة الشرق الاوسط.

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Abstract

This study has examined the impact of applying artificial and emotional intelligence on the quality of decision-making. The principal goal of this study is to recognize the role of artificial and emotional intelligence in undertaking the administrative decisions in the Jordanian commercial banks and their impact on the quality of decision-making. In order to accomplish the aim of this study, the researcher has designed a tool consists of the three following fields: Artificial intelligence, emotional intelligence, and decision-making; and the following statistical methods have been used: Simple Regression, Pearson Correlation, and Paired Sample T-Test. س The study's results have shown the following: 1- There is a statistically indicating relationship between artificial intelligence methods and the quality of administrative decision-making. This relationship has been interpreted by the value of R-Square which equals 0.5%. 2- There is a statistically indicating relationship between emotional intelligence methods and the quality of administrative decision-making. This relationship has been interpreted using R-Square to be about 0.68%. 3- The results of Pearson Correlation have shown a "positive" correlation between the academic qualification and the artificial intelligence variable. 4- The results have shown a "positive" correlation between experience, academic qualification, and the emotional intelligence variable. 5- Additionally, The results have shown a "positive" correlation between academic qualification and administrative decision making. 6- The results have shown that there is a statistically indicating relationship between motives, in their capacity as applications of emotional intelligence, and the quality of decision-making. 7- There is a statistically indicating relationship between the system capability and the quality of decision-making. ع 8- By carrying out Paired Sample T-Test, the results have shown a statistically indicating relationship between the type of intelligent program used in the artificial intelligence methods and the quality of decision-making in the level of 0.004. 9- It became clear that there is a statistically indicating relationship between the quality of decision-making and system capability in the level 0.034. 10- Concerning the relationship between the quality of decision-making and the implementation of emotional intelligence methods, the test results have shown a relationship between motives and the quality of decisionmaking in the level 0.001. As well as, there was a statistically indicating relationship between the controversial perspectives and the quality of decisionmaking in the level 0.00. The study recommended developing the workers skills in order to handle the different methods of artificial and emotional intelligence, and working on identifying the scientific and objective basis that should be adopted in decision-making.

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