Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/341027 
Year of Publication: 
2026
Publisher: 
ZBW - Leibniz Information Centre for Economics, Kiel, Hamburg
Abstract: 
Purpose: The research paper focused on the role of digital human resource management on organizational adaptability and sustainability in emerging economies in Karachi. This scientific study aims at examining null hypothesis which analyzes that there is no relationship between digital HRM and organization ability to be adaptable and sustainable in various organizations in Karachi. Design/Methodology: The research design is descriptive as we establish the association between dependent and independent variables. Our independent variable is Digital HRM which includes digital performance management, digital intensity, and digital transformation that are provided to organizations to improve their performance, adaptation capabilities and employee state optimization. A structured questionnaire is designed to collect approximately 100-sample size samples via online and by organizations visits. A survey forms were distributed using random sampling method among more than six different public and private sectors of Karachi. The research is quantitative in nature and analyzed through confirmatory factor analysis (CFA) and structural equation model (SEM) by using smart PLS. Findings: The findings show that digital HRM is positively and significantly correlated with organizational resilience. The study also revealed that adaptation capabilities are a strong mediator between digital HRM and organization resilience. The integration of digitalization's of HRM practices significantly enhances the organization's adaptability and productivity. Originality: The study included both quantitative and qualitative data and examined the relationship of digital HRM influences the organization's resilience from the viewpoint of public and private sector in Karachi city.
Subjects: 
Digital HRM
adaptability
employee engagement
resilience
sustainability
Document Type: 
Preprint

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