HR Analytics and Artificial Intelligence-Transforming Human Resource Management

doi:10.1109/DASA53625.2021.9682325

Paper

HR Analytics and Artificial Intelligence-Transforming Human Resource Management

Published Dec 7, 2021 · Meenal Arora, Anshika Prakash, A. Mittal

2021 International Conference on Decision Aid Sciences and Application (DASA)

UNKNOWN SJR score

18

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Abstract

Advancements in artificial intelligence (AI) has led to rapidly changing the business environment. Integration of AI in human resource will facilitate the analysing, predicting and diagnosing of the issues faced by the organizations and help to make better employee related decisions. An integrative synthesis of multiple streams of literature was undertaken to critically analyze the implementation of AI and HR analytics in HRM for performance enhancement and to gain a competitive advantage. The HRM has undergone a drastic transformation from the administrative functionality to more advanced processes like automation through application of artificial intelligence which has entirely re-defined and re-shaped the attributes of the organizational workforce. AI plays a major role within HR to support smart people analytics. With deployment of AI and analytics in HR functions such as talent acquisition, training and development, employee retention, employee engagement and performance appraisal, organizations can enhance proficiency and productivity. Additionally, AI, cloud and HR Analytics also support in collecting huge volumes of employee information. HR is considered as a 'predictive engine’ essential for the organizational upliftment. The real challenge for HR department is how thoroughly they can enhance employee skills and re-renovate their teams in the field of HR Analytics and AI. The current research evaluates the functional analysis of artificial intelligence in the human resource context. It emphasizes on the application of AI in various HRM functions and stipulates the barriers in adoption of HR technological among employees.

Literature Review

Study Snapshot

AI and HR analytics in HRM can enhance performance and productivity, but overcoming barriers in employee skills and technology adoption remains a challenge.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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HR Analytics and Artificial Intelligence-Transforming Human Resource Management

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References

Citations

Unlocking the Potential of Artificial Intelligence in Human Resources Management: A Review of Applications, Challenges, and Future Directions

AI integration in HRM can enhance recruitment efficiency and employee engagement, but challenges like ethical considerations and algorithmic bias must be addressed for sustainable business success.

A bibliometric review of artificial intelligence technologies in human resource management: an overview of research trends

AI integration in human resource management shows a growing trend, with diverse technologies deployed and promising improvements in employee productivity.

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AI-integrated motivational enhancement through KPIs can improve HRM practices by enhancing performance evaluations and providing insights into employee behavior and engagement factors.

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NLP offers potential opportunities and risks for HR applications, including real and potential implementations, but requires further research and development.

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Artificial intelligence, when combined with human involvement, significantly enhances employee recruitment, resource allocation, and talent management, improving employee happiness and productivity.