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• W4310251519 abstract "Purpose: The purpose of this paper is to a new approach has been introduced to academic studies on the use of artificial intelligence in human resources functions. In personnel selection/placement and team-building processes, finding the right person for the right job will be accomplished with the support of artificial intelligence. Design/Methodology: Artificial neural networks (ANNs) are one of the programming-based methods that provide effective solutions to problems where multiple inputs and multiple outputs are obtained. Although ANN was first used to measure the content analysis of numerical data and mathematical problems, it was later applied to measure the activities of social problems and projects. In this study, the verbal variables determined were converted into numerical expressions. In the next step, the ANN model created for analysis, using the transformed numerical expressions as input, the variable ids with the highest score were determined as output. The study was completed with the data visualizations made in the last stage. Findings: With this study, a new approach has been introduced to academic studies on artificial intelligence in human resources functions. For example, in personnel selection/placement and team-building processes, processes will accelerate with artificial intelligence. Limitations: There is no certain regulation for determining the general shape of artificial neural networks. The right network shape is accomplished through experience and case and error. However, ANNs can only work with numerical information. Therefore, variables must be converted to numeric data. Originality/Value: Since the most crucial factor in the success of the projects is humans, selecting the human element with the help of artificial intelligence in the projects is examined." @default.
• W4310251519 created "2022-11-30" @default.
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• W4310251519 date "2022-11-29" @default.
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• W4310251519 title "Artificial Intelligence in Project Management: An Application in The Banking Sector" @default.
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• W4310251519 doi "https://doi.org/10.20990/kilisiibfakademik.1159862" @default.
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