Background of the Study
Cloud-based HR systems have transformed talent management by providing scalable, efficient, and centralized platforms for HR functions such as recruitment, employee engagement, and performance management. These systems offer real-time data access, predictive analytics, and automated workflows, enabling businesses to attract, retain, and develop top talent (Eze & Yusuf, 2024).
In Kebbi State, the adoption of cloud-based HR systems among businesses is gradually increasing, driven by the need to optimize HR processes and remain competitive in a dynamic business environment. However, challenges such as limited digital infrastructure and organizational resistance to change persist. This study evaluates the role of cloud-based HR systems in improving talent management practices in the region.
Statement of the Problem
Businesses in Kebbi State often struggle with inefficient and outdated HR practices, leading to challenges in attracting and retaining skilled employees. While cloud-based HR systems offer potential solutions, their adoption and impact on talent management remain underexplored. Understanding these dynamics is critical to enhancing workforce productivity and business competitiveness.
Objectives of the Study
Research Questions
Research Hypotheses
Scope and Limitations of the Study
The study focuses on businesses in Kebbi State that utilize or intend to implement cloud-based HR systems between 2023 and 2025. Limitations include variability in system adoption levels and access to HR data.
Definitions of Terms
Cloud-Based HR Systems: Software platforms hosted on the cloud, facilitating HR operations.
Talent Management: Strategies for attracting, developing, and retaining skilled employees.
Predictive Analytics: Data analysis methods used to forecast future trends or behaviors.
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