UNLEASHING AI POTENTIAL IN HUMAN RESOURCE MANAGEMENT (A CASE STUDY OF CORPORATE SECTOR IN KARACHI)
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Keywords

Technology Integration
Human Resource Management
Efficiency Enhancement
Communication Facilitation
Employee Well-being

How to Cite

Zafar, A. (2023). UNLEASHING AI POTENTIAL IN HUMAN RESOURCE MANAGEMENT (A CASE STUDY OF CORPORATE SECTOR IN KARACHI). Global Journal for Management and Administrative Sciences, 4(1), 65–89. Retrieved from https://gjmasuok.com/index.php/gjmas/article/view/182

Abstract

HRM is constantly evolving, and there's a growing interest in understanding how cutting-edge technology impacts organizational strategies and employee experiences. This study explores the implications of integrating advanced technologies into HRM practices, focusing on performance, equity, communication, administrative Efficiency, and employee well-being. The research acknowledges technology's pervasive role in HRM and emphasizes the need to examine its impact comprehensively. By examining such factors, the study adds to the body of knowledge by illuminating the intricate interplay between generational and HRM dynamics. The program draws on insights from both quantitative and qualitative statistics resources using a blended-techniques approach. A sample of 120 employees in Karachi, Pakistan's corporate sector, participated in the study. For qualitative statistics, a radical evaluation of the literature changed into hired, and for quantitative records, a closed-ended survey with a five-factor Likert scale was used. The study's findings suggest that technology is having a transformative impact on contemporary HRM practices. The research found a relationship between technology integration and enhanced Efficiency, equity promotion, communication facilitation, reduced administrative burdens, improved employee well-being, and job satisfaction. This research deepens our understanding of technology's ramifications in today's organizational landscape by providing comprehensive insights into the multifaceted changes technology introduces to HRM. By merging quantitative and qualitative approaches, the study offers practical implications and avenues for further exploration in this evolving field. The study's quantitative analysis showed a significant increase in the odds of observing positive impacts with each one-unit increase in AI utilization in HRM across various dimensions. For example, a single unit increase in AI usage is associated with significant increases in the odds of improved Efficiency, fairness, communication, reduced administrative burdens, and enhanced employee well-being and job satisfaction. These findings underscore the profound influence of AI technology on HRM practices and outcomes.

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