Overview

In today s digital landscape, emerging technologies transform organizational recruitment strategies and practices. From AI and machine learning to blockchain and virtual reality, these innovations streamline hiring processes, enhance candidate experiences, and enable data-driven decision-making. As employee competition increases, companies must leverage these tools to improve current strategies, reducing time-to-hire, improving the quality of hires, and fostering inclusive recruitment practices. This shift redefines traditional hiring models, emphasizing hiring personalization and effective technological integration. Emerging Technologies for Recruitment Strategy and Practice explores how emerging technologies reshape recruitment strategies by automating processes, enhancing candidate engagement, and enabling data-driven talent acquisition. It examines the practical implications of tools like AI, predictive analytics, and digital platforms on hiring outcomes, workforce diversity, and recruitment effectiveness. This book covers topics such as deep learning, hiring practices, and sentiment analysis, and is a useful resource for business owners, engineers, academicians, researchers, and data scientists.

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9798337365176

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Mohamed Badouch combines eight years of industrial expertise in IT development with a rich academic approach. Currently a doctoral student in Artificial Intelligence at Ibn Zohr University in Agadir, he has a solid background in software and web development and holds executive responsibilities in project management and maintenance. Holding a master's degree in information systems engineering from Cadi Ayyad University (2017), he is passionate about technological innovation. He explores artificial intelligence and machine learning, notably by designing personalized recommendation solutions for tourism and e-commerce. An active member of UNESCO's Inclusive Policy Lab and a visiting lecturer at Abdelmalek Essaâdi University, he inspires with his ethical commitment and his ability to harness new technologies to address contemporary challenges. Mehdi Boutaounte is a Moroccan computer science researcher and professor at the National School of Business and Management (ENCG) in Dakhla, affiliated with Ibn Zohr University. His research focuses on artificial intelligence, particularly in the development of personalized recommendation systems for tourism and hospitality. He has published several works on machine learning techniques for travel suggestions and hotel recommendation systems, including deep learning-based models that analyze user preferences and content such as images and reviews. Dr. Boutaounte is recognized in academic rankings within Morocco and actively contributes to research in smart tourism, computer vision, and hybrid AI systems.PhD

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