Digital Frontiers: The new landscape of talent scouting through theoretical models

The rapid digital transformation of talent scouting has revolutionized traditional recruitment methods, introducing innovative digital tools, platforms, and AI-driven algorithms. This paper explores the evolving landscape of digital talent scouting, highlighting the integration of artificial intelligence, social media, and online portfolios that enable companies to access a global talent pool. It examines the challenges of biases in algorithms, ethical considerations in data privacy, and the need for new theoretical models to effectively navigate this transformation. Additionally, opportunities for inclusivity, diversity, and global reach are analyzed, alongside the technological hurdles organizations face in adapting to these changes. The paper concludes with recommendations for optimizing digital talent scouting models by addressing bias, fostering inclusivity, integrating adaptable technologies, and balancing digital tools with human interaction. By embracing these strategies, organizations can unlock the full potential of digital talent scouting and create a more equitable, efficient recruitment process.