Chapter One — 1.1 Background to the Study

The rapid evolution of Edge Computing has transformed the way organizations design, deploy, and manage human resource management systems. As institutions seek to modernize legacy processes, Edge Computing offers new opportunities to improve service delivery, reduce manual overhead, and respond more effectively to user needs.

In practice, however, adoption of edge computing within human resource management systems has been uneven, and its actual impact on threat detection accuracy is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Current human resource management systems in many organizations struggle with inadequate threat detection accuracy, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating edge computing, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a edge computing-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a edge computing-based approach to improving threat detection accuracy in human resource management systems.
2. To evaluate the effectiveness of Edge Computing in enhancing threat detection accuracy within human resource management systems.
3. To identify the key requirements and constraints relevant to deploying edge computing in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can edge computing be applied to improve threat detection accuracy in human resource management systems?
2. How effective is Edge Computing at enhancing threat detection accuracy within human resource management systems?
3. What requirements and constraints are relevant to deploying edge computing in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in edge computing for their own human resource management systems, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a edge computing-based approach to improving threat detection accuracy within human resource management systems. Reflecting its PhD-level scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.