Exploring the Impact of Artificial Intelligence on Human Resource Management
Artificial Intelligence (AI) is transforming Human Resource Management (HRM) with hitherto unheard-of possibilities for personnel management efficacy and efficiency. HR specialists may improve performance reviews, expedite hiring procedures, and increase employee engagement by utilizing AI algorithms.
75% of executives
surveyed by the World Economic Forum in 2015 predicted that by 2025, artificial
intelligence would handle 30% of corporate audits
1. Recruitment and Selection
Figure 1 Role in AI in Recruitment
AI-powered technologies enable HR
departments to efficiently analyze large amounts of candidate data, making the
hiring process more effective. According to Smith
& Johnson (2020), these systems can analyze resumes, find qualified
applicants, and predict candidate success using past performance data. AI
algorithms can also search online job boards for passive candidates, increasing
the talent pool and hiring standards. These screening procedures eliminate
unconscious biases and ensure a fair selection process by comparing applicant
data with job requirements
2. Training and Development
Figure 2 Transforming Training and Development with AI
Through the personalization of
learning experiences for employees, AI has completely transformed the training
and development component of HRM. Artificial intelligence (AI) systems can
evaluate employee performance data and recommend tailored training programs to
fill in particular skill shortages by using machine learning algorithms. In
addition to increasing employee engagement, this customized approach to
learning makes sure that training programs are in line with each person's
career objectives
3. Employee Performance Management
Figure 3 Employment Performance with AI
Artificial intelligence (AI) analyses a
variety of variables, including productivity, project outcomes, and feedback,
to enable data-driven performance evaluation. HR specialists can use this to
learn more about worker performance, pinpoint areas that need work, and offer specialized
growth opportunities
4. Employee Engagement and Retention
Figure 4 Employee Engagement and Retention
AI-driven
sentiment assessment systems track employee feedback, enabling HR departments
to assess satisfaction and identify potential issues early. Predictive
analytics can identify employees at risk of quitting
AI
is revolutionizing HRM by improving efficiency, accuracy, and employee
engagement. However, challenges like data privacy, algorithm bias, and ethical
considerations need to be addressed.
In conclusion, AI is
revolutionizing HRM by enhancing efficiency, accuracy, and employee engagement.
As organizations navigate the digital transformation journey, leveraging AI in
HRM can unlock new opportunities for growth, innovation, and competitive
advantage in the evolving landscape of work.
References
Agarwal, S. & Sharma, M., 2019. Artficial
Interlligence in Human Resource Management: A review.. International
Journal of Management, Technology and Social Sciences, 4(1), pp. 55-64.
Bersin, J.,
2019. HR Technology 2020: Disruption Ahead. [Online]
Available at: https://joshbersin.com/2019/08/hr-technology-2020-disruption-ahead/
[Accessed 13 March 2024].
Davenport,
T., 2018. The AI Advantage: How to Put the Artificial Intelligence
Revolution to Work. s.l.:Random House Publishing Group.
Ghosh, P.,
2021. Candidate Screening and Selection Process: The Complete Guide for
2021. [Online]
Available at: https://www.spiceworks.com/hr/recruitment-onboarding/articles/what-is-candidate-screening-and-selection/
[Accessed 17 March 2024].
Lopez, S.,
2021. Predictive Analytics for Employee Retention.. International Journal
of HR Analytics, 12(4), pp. 210-225.
Martin, K.,
Jones, L. & Garcia, M., 2019. Leveraging Artificial Intelligence for
Candidate Screening. Journal of HR Technology, 7(3), pp. 112-125.
Meek, T.,
2017. How Humans And AI Will Share The Auditing Function Of The Future. [Online]
Available at: https://www.forbes.com/sites/workday/2017/07/10/how-humans-and-ai-will-share-the-auditing-function-of-the-future/?sh=7801cde74fa1
[Accessed 17 March 2024].
Oorwin,
2018. A Comprehensive Guide to Role of AI in Recruitment. [Online]
Available at: https://oorwin.com/blog/the-role-of-ai-in-recruitment.html
[Accessed 17 March 2024].
PwC, 2021. Workforce
Strategy Diagnostic :Do you have the workforce strategy you need for
tomorrow?. [Online]
Available at: https://www.pwc.com.cy/en/advisory/consulting/workforce/workforce-strategy-diagnostic.html
[Accessed 13 March 2024].
Smith, J.
& Johnson, A., 2020. The Impact of Artificial Intelligence on Talent
Management.. Harvard Business Review, 10(2), pp. 45-48.
Tucker, R., 2018. Enhancing Employee Performance Evaluation with Artificial Intelligence.. Journal of Human Resource Management, 5(1), pp. 56-68.
It seems good. Please make sure to follow harvard referencing style. I believe the 1st two references are from journal articles and the rest are websites. Please recheck the format of the website reference. If you can add multi media contents to your post, it can add more value.
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ReplyDeleteThis comment has been removed by the author.
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