The Impact of Artificial Intelligence on Employment in High-Tech Companies in the Jordanian Market أثر الذكاء االصطناعي على التوظيف في الشركات عالية التقانة في السوق الاردني

أبو خالد, نور خليل (2020) The Impact of Artificial Intelligence on Employment in High-Tech Companies in the Jordanian Market أثر الذكاء االصطناعي على التوظيف في الشركات عالية التقانة في السوق الاردني. Masters thesis, جامعة الشرق الاوسط.

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Abstract

Purpose: Artificial intelligence is used in many fields. Employment is one of the most important fields that take advantage of these technologies. On the other hand, it threatens to replace jobs. The purpose of the study is to examine the impact of artificial intelligence on employment in High-Tech companies in the Jordanian market. Methodology: To actualize this study, data were collected from 138 managers, supervisors and employees who work at Jordanian High-Tech companies by questionnaire. After confirming the normality, validity, and reliability of the tool, descriptive analysis was carried out, and the correlation between variables checked. Finally, the impact was tested by multiple regressions by using SPSS. Findings: The result shows that Jordanian High-Tech companies implement both artificial intelligence and employment dimensions. It also shows that there is a correlation between artificial intelligence dimensions and employment dimensions. Finally, results indicate that there is a significant impact of the total artificial intelligence on total employment in High-Tech companies in the Jordanian market. Automation has rated the highest impact on employment, followed by efficiency, while ease of use does not show a significant impact on total employment dimensions. Limitations/Recommendations: The current study was conducted in HighTech companies in Jordan. Therefore, it recommends future researches to collect more data over a longer period of time to check the current model validity and the measuring instrument. It also recommends carrying out similar studies on other sectors in Jordan and the same sector outside Jordan to test its results generalizability. Originality/Value: This study may be considered as one of the few studies that discuss the use of new technologies in business from an employee’s perspective. Keywords: Artificial Intelligence, Employment, Automation, Efficiency, Ease of Use, Recruitment, Selection, Appointment.

Item Type: Thesis (Masters)
Subjects: H Social Sciences > H Social Sciences (General)
Depositing User: أ. طارق زياد عبد حنونة
Date Deposited: 16 Mar 2021 10:43
Last Modified: 16 Mar 2021 10:43
URI: http://scholar.alaqsa.edu.ps/id/eprint/4734

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