This paper seeks to examine HRM practices in India, taking into consideration the underlying cultural, political, and economic influences. The research is structured into three primary sections. The first section explores the concept of HRM within the context of India's social environment. The second section outlines the methodology and presents the data analysis. The third section delves into the results, offering insights into HRM practices within Indian organizations. The research outcomes presented in the paper provide insights into the principal HRM functions within the Indian public sector. Staffing practices are characterized by a prominent reliance on networking, entitlement, adherence to Islamic/revolutionary criteria, and a strong emphasis on job security. Compensation structures feature fixed pay, rewards linked to ascription/seniority, and a hierarchical pay system. Training and development programs are observed to be largely ad hoc and unplanned. Lastly, the appraisal function receives limited attention and relies predominantly on subjective and behavioral criteria. Given that TOPSIS is not well-suited for directly handling this type of data, we have introduced an innovative approach known as "TOPSIS for Algorithm Ranking," abbreviated as TOPSIS-AR. In this approach, algorithms are treated as alternatives, while benchmarks are considered as criteria. To assess the alternatives based on the criteria, we represent their ratings using a decision matrix that incorporates mean values and standard deviations.To demonstrate the applicability of this method, we present a case study involving evolutionary algorithms. The simulation results from this study validate the effectiveness of TOPSIS-AR in determining the ranking of the evaluated algorithms. The paper acknowledges certain limitations in its study related to HRM functions, the sector under examination, and the sample size. Future research endeavors could extend the analysis by comparing HRM practices between large/state-owned and small/private organizations. These insights could prove valuable to a diverse range of stakeholders, including Multinational Enterprises (MNEs), Non-Governmental Organizations (NGOs), international negotiators, expatriate managers, investors, and anyone with an interest in this geographical region. The paper offers a practical and convenient approach for evaluating HRM variations. By combining both qualitative and quantitative data, it provides a comprehensive understanding of HRM practices, supplemented by secondary data and previous research findings. Given the potential similarities between India and other developing countries, the outcomes of this study might be particularly relevant for comparative research aimed at examining the transferability of management practices across different contexts.
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