Artificial Intelligence Approach to Manage Human Resources Information System Process in the Construction Industry

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to Manage Human Resources Information System Process in the Construction Industry</title> <meta name="description" content="Artificial Intelligence Approach to Manage Human Resources Information System Process in the Construction Industry"> <meta name="keywords" content="human resources new technologies, HR artificial intelligence, HRIS AI models, construction AI HRIS"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a 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87395</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Artificial Intelligence Approach to Manage Human Resources Information System Process in the Construction Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Emad%20Ahmed">Ahmed Emad Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to address the concept of human resources information systems (HRIS) and how to link it to new technologies such as artificial intelligence (AI) to be implemented in two human resources processes. A literature view has been collected to cover the main points related to HRIS, AI, and BC. A study case has been presented by generating a random HRIS to apply some AI operations to it. Then, an algorithm was applied to the database to complete some human resources processes, including training and performance appraisal, using a pre-trained AI model. After that, outputs and results have been presented and discussed briefly. Finally, a conclusion has been introduced to show the ability of new technologies such as AI and ML to be applied to the human resources management processes. <iframe src="https://publications.waset.org/abstracts/156921.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20resources%20new%20technologies" title="human resources new technologies">human resources new technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=HR%20artificial%20intelligence" title=" HR artificial intelligence"> HR artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=HRIS%20AI%20models" title=" HRIS AI models"> HRIS AI models</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20AI%20HRIS" title=" construction AI HRIS"> construction AI HRIS</a> </p> <a 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Artificial Intelligence Approach to Manage Human Resources Information System Process in the Construction Industry