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    Transparent Peer Review By Scholar9

    The Combination of Human Resources (HR) and Artificial Intelligence (AI): Transforming the Workplace

    Abstract

    This paper discusses in detail the profound and multifaceted impact of Artificial Intelligence (AI) on Human Resources (HR) management in today’s diverse industries. As organizations strive to improve efficiency, AI has emerged as a transformative force, reshaping HR processes such as recruitment, employee engagement, and performance management. This research delves deeper into how AI technology influences these critical areas, especially in the context of the Indian economy and work culture. While AI offers substantial benefits in improving operational efficiency, the paper also evaluates its potential risks and challenges, such as job displacement and ethical concerns. Moreover, the evolution of HR is explored, providing a historical perspective on its journey from labour management to becoming a key strategic partner empowered by AI. The paper makes a compelling case for balancing automation with human values, especially in India, where cultural diversity and economic disparity are significant considerations.

    Reviewer Photo

    Aravind Ayyagari Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Aravind Ayyagari Reviewer

    11 Sep 2024 04:34 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality:

    The Research Article is highly relevant, examining the transformative impact of Artificial Intelligence (AI) on Human Resources (HR) management. The focus on AI's influence on recruitment, employee engagement, and performance management, particularly within the context of the Indian economy and work culture, demonstrates originality by addressing a specific geographic and cultural context. The paper's exploration of both the benefits and potential risks of AI in HR adds depth and relevance to the study.

    Methodology:

    The abstract does not provide specific details about the methodology used in the research. While it describes the areas of AI's impact and the evaluation of risks and benefits, it lacks information on how the research was conducted, such as data collection methods, analysis techniques, and whether empirical data or case studies were used. Including these details would be crucial for evaluating the rigor and validity of the research approach.

    Validity & Reliability:

    The abstract mentions the evaluation of AI's benefits and challenges but does not specify how validity and reliability are ensured. Details on how the findings were validated, the criteria for assessing AI's impact, and how consistent the results are would be important to understand the robustness of the research. Providing such information would help in assessing the credibility of the study.

    Clarity and Structure:

    The abstract is clear and well-structured, outlining the main areas of focus, including AI's impact on HR processes and its contextual relevance to India. It effectively presents the historical evolution of HR and the balance between automation and human values. However, additional information on the specific objectives, methodology, and key findings would improve clarity and provide a more comprehensive overview of the research.

    Result Analysis:

    The abstract does not provide specific results or detailed analysis. While it mentions evaluating AI's benefits and potential risks, including quantitative data, case studies, or specific examples of how AI has impacted HR practices would strengthen the result analysis. This would offer a clearer understanding of the study’s findings and practical implications.

    Publisher Logo

    IJ Publication Publisher

    Done Sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Aravind

    Aravind Ayyagari

    More Detail

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    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    JETIR - Journal of Emerging Technologies and Innovative Research External Link

    Info Icon

    p-ISSN

    Info Icon

    e-ISSN

    2349-5162

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