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Innovative Strategies for Recruiting and Selecting Talent in the Digital Age
Author Name

Ms. Micheal Rashma M , Ms. Jenithakarthiga S, Ms. Pavithra V Assistant Professor, Department of Management Studies, DMI College of Engineering, Chennai.

Abstract

In the rapidly evolving digital landscape, talent acquisition has undergone a significant transformation, reshaping traditional recruitment and selection processes. This paper delves into the realm of innovative strategies for recruiting and selecting talent in the digital age, exploring the opportunities and challenges presented by emerging technologies. The rise of digital platforms, social media, and artificial intelligence (AI) has revolutionized how organizations approach talent acquisition. Leveraging AI-driven algorithms and predictive analytics, businesses can now streamline candidate sourcing, screening, and assessment processes, enabling faster and more accurate hiring decisions. Moreover, digital tools facilitate personalized candidate experiences, fostering engagement and enhancing employer branding. However, alongside these advancements come ethical and practical considerations. Ensuring fairness, transparency, and inclusivity in AI-driven decision-making processes is paramount to mitigate biases and promote diversity. Additionally, organizations must navigate data privacy regulations and cyber security risks associated with the collection and storage of candidate information. This paper offers insights and recommendations for HR professionals and organizational leaders seeking to navigate this digital transformation. By embracing innovative recruitment strategies while upholding ethical standards, businesses can gain a competitive edge in attracting and retaining top talent. Through case studies, empirical research, and best practices analysis, this paper provides actionable guidance on leveraging digital technologies to optimize talent acquisition processes and drive organizational success in the digital age.

Keywords: Talent acquisition; Digital age; Recruitment strategies; Selection methods; Artificial intelligence

 



Published On :
2024-08-16

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