نوع مقاله : مقاله پژوهشی
نویسنده
استادیار گروه علوم تربیتی دانشگاه پیام نور، تهران، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسنده [English]
The present study was conducted with the aim of identifying opportunities and threats of the use of artificial intelligence in human resource management of the faculties of agriculture and natural resources of the University of Tehran (Karaj district). This study was applied in terms of purpose and was conducted with a mixed exploratory method (qualitative-quantitative). In the qualitative part, data were collected until theoretical saturation using the Strauss and Corbin method and interviews with 12 experts. In the quantitative part, with an inferential approach based on a cross-sectional survey, all experts of the faculties, numbering 95 people, were considered as the population, and 76 people were selected using the proportional stratified sampling method and the Morgan table. In the qualitative part, data were collected through semi-structured interviews, and as a result, a researcher-made questionnaire was prepared, and then, using the Analytic Hierarchy Process (AHP), the questionnaire was prioritized in three indicators: recruitment and employment, office automation, and employee attendance and absence. Data analysis was performed with Super Decision and MAXQDA software. The findings were identified as 15 final themes, 10 opportunity sub-criteria, and 5 threat sub-criteria. Controlling people's movement through faces (weight 0.27) was the most important opportunity, and reducing the concentration of physical security forces (weight 0.67) was the most serious threat. As a result, the final research model showed that artificial intelligence in this organization is not a "luxury technology", but a "competitive and operational requirement" in the three areas of physical security, talent discovery, and automation. Therefore, the immediate deployment of a facial recognition system for traffic and attendance control, talent discovery with artificial intelligence in recruitment, and automation of correspondence while maintaining a human supervisory loop to prevent the reduction of the concentration of security forces were recommended
کلیدواژهها [English]
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