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All Journal JURNAL DINAMIKA MANAJEMEN DAN BISNIS
Hammad Zafar
University of Karachi
Decision Sciences, Operations Research & Management

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Harnessing the Power of A.I Technologies for Optimal Employee Recruitment and Selection Strategies. Syeda Rimsha Kazmi; SH. M. Fakhr-e-Alam Siddiqui; Hammad Zafar
JURNAL DINAMIKA MANAJEMEN DAN BISNIS Vol. 8 No. 1 (2025): Jurnal Dinamika Manajemen dan Bisnis
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JDMB.08.1.5

Abstract

This research delves deeply into the potential impacts of incorporating artificial intelligence (AI) Technologies on the critical Human Resources Management (HRM) functions of recruitment and selection within organizations. Adopting a rigorous quantitative methodology, the study takes an empirical and descriptive approach, collecting data from 213 participants through a survey using scaling sampling techniques. The collected data was then analyzed using the robust capabilities of Structural Equation Modeling (SEM) in the SmartPLS software 4.0. The study's findings provide strong evidence of the significant influence that AI can have on the core HRM activities of selection and recruitment. These insights hold valuable practical implications for human resources professionals operating in Pakistani organizations, offering implementable suggestions to leverage the power of AI while remaining cautious of potential biases. This research underscores the transformative potential of artificial intelligence within the HRM domain, but also emphasizes the critical need for diligent, ethical, and responsible implementation. By striking the right balance, organizations in Pakistan can harness the efficiency, objectivity, and scalability of AI to enhance their talent acquisition and management capabilities, while simultaneously safeguarding against the pitfalls of algorithmic discrimination and other unintended consequences.
The Impact of Work Engagement and Occupational Stress on Nurse Turnover Intention in Acute Care Hospitals Saheba Javaid Akhter; Shaikh Muhammad Fakhre Alam Siddiqui; Hammad Zafar
JURNAL DINAMIKA MANAJEMEN DAN BISNIS Vol. 8 No. 1 (2025): Jurnal Dinamika Manajemen dan Bisnis
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JDMB.08.1.4

Abstract

Acute care hospital nurse turnover is an important problem that affects patient care, operational efficiency and the overall healthcare outcome. Factors like work engagement and occupational stress can often cause high turnover rates. Previous research in the western context has shown that work engagement is negatively associated with turnover intention and occupational stress is positively related to it, but research in developing countries is scant. Work engagement and occupational stress are investigated as antecedents of turnover intention among nurses in acute care hospitals in Pakistan. Data were collected from 100 nurses using a quantitative approach via a structured survey. Here we analyse the results using Partial Least Squares Structural Equation Modelling (PLS-SEM), and find that work engagement significantly decreases turnover intention and occupational stress significantly increases it. These findings are relevant to the importance of creating a work engaged environment and management of occupational stress in order to increase nurse retention. The results are also useful for healthcare administrators developing retention strategies that will create a supportive work environment that will increase engagement and reduce stress.
Co-Authors Saheba Javaid Akhter SH. M. Fakhr-e-Alam Siddiqui Shaikh Muhammad Fakhre Alam Siddiqui Syeda Rimsha Kazmi