PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 30, 2024ShodhKosh Journal of Visual and Performing Arts4 citations

Artificial Intelligence in Human Resource: The Key to Successful Recruiting and Performance Management

View Full Paper
TST. ShenbhagavadivuKPKavya PoduvalVVV Vinitha

Key Points

Key points are not available for this paper at this time.

Abstract

This study explores the application of artificial intelligence (AI) in the domains of recruitment and performance management with in the field of Human Resource Management (HRM). It investigates how AI technologies such as chatbots, AI recruiters, and HR analytics are utilized to enhance efficiency, effectiveness, and personalization in these HR functions. This review paper explores multifaceted applications of Artificial Intelligence (AI) in Human resource Analytics, specifically focusing on recruitment and performance management. AI has revolutionized HR practices by enabling organizations to harness vast amounts of data to make informed decisions. In recruitment, AI-driven tools facilitate candidate sourcing, screening, and matching, leading to more efficient hiring processes and improved candidate experiences. Additionally, AI-powered analytics enhance performance management by providing actionable insights into employee productivity, engagement, and skill development. Drawing upon existing literature, this paper provides an in-depth analysis on how AI technologies are reshaping traditional HR practices, enhancing efficiency, and driving strategic decision-making. Overall, the application of AI in recruitment and performance management represents a paradigm shift in HRM practices, enabling organizations to harness the power of data and automation for more efficient, equitable, and strategic HR practices in the digital age.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Shenbhagavadivu et al. (2024) studied this question.

synapsesocial.com/papers/68e625c9b6db6435875b7ea4https://doi.org/10.29121/shodhkosh.v5.i6.2024.1351
Ask AI
Helpful
Bookmark
Share
View Full Paper