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

Chinweizu Oham 1, * and Onyinye Gift Ejike 2

1 New York Film Academy, USA.
2 The Velvet Expression, Lagos, Nigeria.
 
Review Article
World Journal of Advanced Research and Reviews, 2022, 14(02), 686–695
Article DOI: 10.30574/wjarr.2022.14.2.0281
 
Publication history: 
Received on 23 February 2022; revised on 25 April 2022; accepted on 28 April 2022
 
Abstract: 
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.
 
Keywords: 
Digital talent scouting; Artificial intelligence in recruitment; Recruitment algorithms; Global talent pool; Inclusivity in hiring; Ethical AI
 
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