Transparent Peer Review By Scholar9
IMPACT OF ARTIFICIAL INTELLIGENCE ON HRM PRACTICES IN INDIA
Abstract
The arrival of Artificial Intelligence (AI) has revolutionized colorful sectors, and Human Resource Management (HRM) is no exception. In India, where companies are fleetly embracing digital metamorphosis, AI is playing a pivotal part in reshaping HR practices. This paper explores how AI- driven tools are transubstantiating traditional HR functions similar as reclamation, hand engagement, and performance operation. AI is helping associations streamline gift accession through automated capsule webbing, prophetic analytics, and converse bots, making reclamation briskly and more effective also, AI is enhancing hand engagement by furnishing substantiated literacy gests and performance feedback through data- driven perceptivity. In performance operation, AI- powered platforms enable nonstop performance shadowing and skill development still, the relinquishment of AI in HRM also presents challenges, similar as ethical enterprises, data sequestration, and the eventuality for job relegation. This exploration paper examines the current trends, benefits, and obstacles faced by Indian associations in integrating AI into HRM practices. By fastening on the Indian environment, the paper aims to give perceptivity into how companies are using AI to produce more effective, data- driven, and hand- centric HR processes.
Aravind Ayyagari Reviewer
24 Sep 2024 05:25 PM
Approved
Relevance and Originality
The research addresses a timely and relevant topic by exploring the integration of Artificial Intelligence in Human Resource Management (HRM) within the Indian context. As organizations undergo digital transformation, the focus on AI-driven HR practices highlights both the innovation and necessity of adapting to technological advancements. The originality lies in its examination of specific HR functions and their transformation through AI.
Methodology
The methodology should clearly outline how the research was conducted, including data collection methods, sample size, and analytical techniques used to draw conclusions. A detailed approach would enhance the study’s credibility and allow for replication. Clarifying whether qualitative or quantitative methods were employed would also be beneficial.
Validity & Reliability
To ensure the validity and reliability of the findings, the paper should discuss the sources of data and any potential biases that might affect results. Additionally, using established metrics to measure the impact of AI tools on HR functions would strengthen the research's credibility.
Clarity and Structure
The paper is generally well-structured, but some sentences could be simplified for better clarity. Using clear headings and subheadings can help organize the content effectively, allowing readers to navigate the main ideas easily. Moreover, minimizing jargon would make the research more accessible to a broader audience.
Result Analysis
While the paper outlines the benefits and challenges of AI in HRM, a more in-depth analysis of specific case studies or examples would enrich the findings. Quantitative data illustrating improvements in HR functions after AI implementation would provide compelling evidence of the impact. Discussing both successful applications and potential pitfalls would offer a balanced view of the subject.
IJ Publication Publisher
Done Sir
Aravind Ayyagari Reviewer