Leveraging HR Metrics for an Effective Recruitment and Selection Process With Special Reference to the Manufacturing Sector in Coimbatore

Author:

Durai Subhashini1,Krishnaveni R.2,Manoharan Geetha3ORCID,Nivedha M.4

Affiliation:

1. Bharathiar University, India

2. Terf's Academy College of Arts and Science, India

3. SR University, India

4. Robert Gordon University, UK

Abstract

Any organization's growth and stability depend on its recruitment and selection process, which attracts top talent. HR metrics quantify and rate human resource processes. This study aims to integrate human resource metrics into the recruitment and selection process throughout. In this exploratory study, human resource managers discuss metrics and their use in evaluating recruitment and selection procedures. Manufacturing HR managers are being surveyed about the KPIs in question. Most HR managers (out of 15, at least 10 HR managers) have reported nine metrics as actively used in their firm, while a minority (out of 15, less than 10 HR managers) have reported 10 metrics as rarely used and six calculated metrics. This chapter will interest researchers and practitioners who identify, design, and deploy metrics to measure an organization's recruitment and selection process. The chapter identifies metrics to demonstrate how metrics encourage HR practitioners to adopt and measure skilled workforce in recruitment and selection. This contributes to the HR metrics debate.

Publisher

IGI Global

Reference46 articles.

1. Library Management System Using Artificial Intelligence.;A. H.Abdulwahid;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM),2023

2. Assessment Based On IoT For Efficient Information Surveillance Regarding Harmful Strikes Upon Financial Collection

3. Armstrong, M. (2006). A Handbook of Human Resource Management Practice (10th ed.). Cambridge University.

4. Ashiq, V. M., Fredrik, E. T., Kumar, N. K., Torres-Cruz, F., Colque, J. P. B., & Manoharan, G. (2023, September). A Deep Learning Approaches for Natural Language Processing and Sentiment Analysis in Social Media. In 2023 6th International Conference on Contemporary Computing and Informatics (IC3I) (Vol. 6, pp. 1746-1750). IEEE.

5. Bhavya, K. R., Dharmaraj, A., Pareek, P., Sathe, M. A., Tiwari, M., & Manoharan, G. (2023, September). Application of Soft Computing Techniques for Predictive Analytics in Financial Markets. In 2023 6th International Conference on Contemporary Computing and Informatics (IC3I) (Vol. 6, pp. 1756-1760). IEEE.

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