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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM24037

HR Analytics and Big Data: Investigating the use of HR analytics and big data to make data-driven decisions in areas such as talent acquisition, workforce planning, and employee retention

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM24037

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PD

Prachi Dhakne

SR

Samruddhi Rajguru

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Abstract

This research paper examines the integration of HR analytics and big data in Human Resource Management (HRM) practices. The study focuses on the application of HR analytics in talent acquisition, workforce planning, and employee relations. Through a comprehensive literature review, the paper explores the implications, challenges, and ethical considerations associated with HR analytics. The analysis reveals the potential benefits of HR analytics in making data-driven decisions and optimizing HRM processes. Key findings highlight the importance of data quality, privacy, talent development, transparency, fairness, and employee well-being in leveraging HR analytics effectively. The research paper provides recommendations for organizations to navigate the challenges and ethical dilemmas while harnessing the potential of HR analytics. The study contributes to the existing knowledge by emphasizing the significance of HR analytics in driving strategic HRM practices.

KEYWORDS

HR analytics big data talent acquisition workforce planning employee relations data-driven decisions challenges ethical considerations.

Cite This Article

Prachi Dhakne, Samruddhi Rajguru, "HR Analytics and Big Data: Investigating the use of HR analytics and big data to make data-driven decisions in areas such as talent acquisition, workforce planning, and employee retention," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM24037

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Publication Date

6/24/2023

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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