AI-Driven Transformations in HR Management: Enhancing Effectiveness in IT Companies

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted various industries, particularly the Information Technology (IT) sector. This research paper investigates how AI affects the effectiveness of Human Resource Management (HRM) functions within the IT industry. By incorporating AI technologies, HRM can streamline its operations, enhancing efficiency, accuracy, and overall effectiveness. AI applications in HRM encompass automated recruitment, performance evaluations, employee engagement, and training. Automated recruitment systems utilize AI to screen resumes, align candidates with job requirements, and conduct preliminary interviews. This streamlines the hiring process, reducing time and resources while improving hire quality. AI-based performance evaluation tools offer objective, continuous feedback, facilitating more precise assessments and personalized development plans. For employee engagement, AI-powered chatbots and virtual assistants improve communication and support by promptly addressing employee inquiries. AI in training and development provides customized learning experiences and uses predictive analytics to identify skill gaps and future training needs. The integration of AI into HRM also presents several challenges. Issues such as data privacy, biases in AI algorithms, and the necessity for ongoing updates and maintenance are significant concerns. Transitioning to AI-driven HRM requires considerable investment and a shift in organizational culture, which can be difficult for some companies. This paper presents a conceptual framework to understand the benefits and challenges of implementing AI in HRM within the IT sector. Through the examination of current practices and case studies, it offers insights into the effective integration of AI into HRM functions to improve overall performance. The findings suggest that while AI has tremendous potential, careful planning and strategic implementation are essential for realizing its full benefits in HRM. Keywords: Artificial Intelligence, Human Resource Management, IT Sector, Recruitment, Performance Evaluation, Employee Engagement, Training and Development, Data Privacy, Organizational Culture.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-09-16
DOI
https://doi.org/10.55041/ijsrem37428
Citations
1
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
1.40
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article

AI-Driven Transformations in HR Management: Enhancing Effectiveness in IT Companies

Lakshminarayana K, Mr. Hemanth J
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Economic and Technological Developments in Russia
1.40
article

AI-Driven Transformations in HR Management: Enhancing Effectiveness in IT Companies

Lakshminarayana K, Mr. Hemanth J
article en
1 citations

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted various industries, particularly the Information Technology (IT) sector. This research paper investigates how AI affects the effectiveness of Human Resource Management (HRM) functions within the IT industry. By incorporating AI technologies, HRM can streamline its operations, enhancing efficiency, accuracy, and overall effectiveness. AI applications in HRM encompass automated recruitment, performance evaluations, employee engagement, and training. Automated recruitment systems utilize AI to screen resumes, align candidates with job requirements, and conduct preliminary interviews. This streamlines the hiring process, reducing time and resources while improving hire quality. AI-based performance evaluation tools offer objective, continuous feedback, facilitating more precise assessments and personalized development plans. For employee engagement, AI-powered chatbots and virtual assistants improve communication and support by promptly addressing employee inquiries. AI in training and development provides customized learning experiences and uses predictive analytics to identify skill gaps and future training needs. The integration of AI into HRM also presents several challenges. Issues such as data privacy, biases in AI algorithms, and the necessity for ongoing updates and maintenance are significant concerns. Transitioning to AI-driven HRM requires considerable investment and a shift in organizational culture, which can be difficult for some companies. This paper presents a conceptual framework to understand the benefits and challenges of implementing AI in HRM within the IT sector. Through the examination of current practices and case studies, it offers insights into the effective integration of AI into HRM functions to improve overall performance. The findings suggest that while AI has tremendous potential, careful planning and strategic implementation are essential for realizing its full benefits in HRM. Keywords: Artificial Intelligence, Human Resource Management, IT Sector, Recruitment, Performance Evaluation, Employee Engagement, Training and Development, Data Privacy, Organizational Culture.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(008)
Openalex Percentile: Top 18%
Economic and Technological Developments in Russia
1.40
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AI-Driven Transformations in HR Management: Enhancing Effectiveness in IT Companies — Lakshminarayana K, Mr. Hemanth J · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) | TGRS Research Map | TGRS