International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
irejournals@gmail.com•+91-7433024337

Home / Current Issue / Paper 1711615

1711615 Vol 9 · Issue 4 Download Paper

A Study of Recruitment Process Analytics in Indian IT Industry

Sonar Raunak Jeetendra Dr. Parth Chhabra

Subject area: Management and Commerce  ·  Area of research: IT Industry

Abstract

This study seeks to investigate the current staffing and selection processes in the IT industry, concentrating on pinpointing various recruitment sources and methods within IT companies. The goal is to enhance recruitment and selection strategies, thereby improving job satisfaction, productivity, and overall employee efficiency in the sector. The primary objective of this paper is to identify standard practices organizations employ to recruit and select personnel. Additionally, the study aims to analyze how these recruitment and selection methods influence organizational outcomes and offer recommendations that can assist. The research paper aspires to develop a more advanced recruitment strategy for IT companies through various approaches, including technology assessment and trends from recruitment portals. The techniques include strategies like online hiring, organizing job fairs, university recruitment, and enhancing the employee referral program. Methodology: This study employs a predictive approach to gather, analyze, and present information, tackle the issue, and meet the secondary objective. The methodology entails collecting data through secondary sources, including research articles, online databases, files, journals, and books. Essential information was gathered through a survey conducted across different departments of the company, including journals, books, articles, and other research reports. Findings: The findings indicate that analytical methods aid in pinpointing inefficiencies within the hiring process, allowing for the optimization of targeted activities. AI technologies offer predictive analytics, improving both the quality and speed of decision-making. Research has shown that recruitment powered by AI enhances employee performance and greatly increases hiring efficiency. Conclusion: The rapid progression of digital technology, organizations are leaning more and more on e-recruitment strategies to discover and recruit top talents. Recruitment strategies such as social media, online job portals, and artificial intelligence-based recruitment tools play a key role in the emergence of this new trend of recruitment globally. e-recruitment has developed into an important part of recruitment practices of companies across the globe Minimization of costs and time, facilitated access to greater pools of applicants (Placeholder1)some issues were examined in the extensive literature review process which are causing the issues in smooth execution of recruitment practices.

Keywords

Predictive Analytics, Artificial Intelligence (AI), Attrition Rate, Technology Evaluation, Digital Literacy, Talent Acquisition.

References

[1] https://shodhganga.inflibnet.ac.in/handle/10603/337105Impact of recruitment process outsourcing on employee performance in select information technology organizations https://www.researchgate.net/publication/388062910 a review of literature on human resource management leadership style and employee performance https://www.researchpublish.com

[2] (chaya j swamy, 2021) (chaya J swamy, 2021) Recruitment and selection process in the IT firms

[3] https://www.allmultidisplinaryjournal.com https://www.researchgate.net/publication/353658466_A_Study_of_Recruitment_Practices_an

[4] d_Their_Impact_on_Employee_Performance_with_reference_to_IT_Companiesi in Bangalore (Vijay, 2021)

[5] www.wikipedia.com

[6] https://www.research publish.com International Journal of Management and commerce Innovations ISSN2348-7585

[7] Kumar, A. (2020). The Power of Recruitment Analytics. Journal of Human Resource Management, 8(3), 45-58.

[8] Roy, R. (2019). Predictive Analytics in Recruitment: Trends and Best Practices. Recruitment Insights, 4(2), 14-26.

[9] International Journal of Business and Social Research Volume 11, Issue 02, 2021: 18-25 International Journal of Research Publication and Reviews, Vol 4, no 5, pp 3880-3883 May 2023

[10] www.ijrpr.com

How to cite this paper

Sonar Raunak Jeetendra, Dr. Parth Chhabra "A Study of Recruitment Process Analytics in Indian IT Industry" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 1710-1716
Sonar Raunak Jeetendra, Dr. Parth Chhabra "A Study of Recruitment Process Analytics in Indian IT Industry" Iconic Research And Engineering Journals, vol. 9, no. 4, Oct. 2025
Sonar Raunak Jeetendra, Dr. Parth Chhabra (2025). A Study of Recruitment Process Analytics in Indian IT Industry. Iconic Research And Engineering Journals, 9(4).
Sonar Raunak Jeetendra, Dr. Parth Chhabra "A Study of Recruitment Process Analytics in Indian IT Industry" Iconic Research And Engineering Journals, vol. 9, no. 4, Oct. 2025.
@article{1711615,
      author = {Sonar Raunak Jeetendra, Dr. Parth Chhabra},
      title = {A Study of Recruitment Process Analytics in Indian IT Industry},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {4},
      pages = {1710-1716},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711615.pdf},
      abstract = {This study seeks to investigate the current staffing and selection processes in the IT industry, concentrating on pinpointing various recruitment sources and methods within IT companies. The goal is to enhance recruitment and selection strategies, thereby improving job satisfaction, productivity, and overall employee efficiency in the sector. The primary objective of this paper is to identify standard practices organizations employ to recruit and select personnel. Additionally, the study aims to analyze how these recruitment and selection methods influence organizational outcomes and offer recommendations that can assist. The research paper aspires to develop a more advanced recruitment strategy for IT companies through various approaches, including technology assessment and trends from recruitment portals. The techniques include strategies like online hiring, organizing job fairs, university recruitment, and enhancing the employee referral program.

Methodology: This study employs a predictive approach to gather, analyze, and present information, tackle the issue, and meet the secondary objective. The methodology entails collecting data through secondary sources, including research articles, online databases, files, journals, and books. Essential information was gathered through a survey conducted across different departments of the company, including journals, books, articles, and other research reports.

Findings: The findings indicate that analytical methods aid in pinpointing inefficiencies within the hiring process, allowing for the optimization of targeted activities. AI technologies offer predictive analytics, improving both the quality and speed of decision-making. Research has shown that recruitment powered by AI enhances employee performance and greatly increases hiring efficiency.

Conclusion: The rapid progression of digital technology, organizations are leaning more and more on e-recruitment strategies to discover and recruit top talents. Recruitment strategies such as social media, online job portals, and artificial intelligence-based recruitment tools play a key role in the emergence of this new trend of recruitment globally. e-recruitment has developed into an important part of recruitment practices of companies across the globe Minimization of costs and time, facilitated access to greater pools of applicants (Placeholder1)some issues were examined in the extensive literature review process which are causing the issues in smooth execution of recruitment practices.},
      keywords = {Predictive Analytics, Artificial Intelligence (AI), Attrition Rate, Technology Evaluation, Digital Literacy, Talent Acquisition.},
      month = {October},
  }