EST. 2026

The Archive

Software Technology / IT · REF. TA-15219

Development of a Serverless Computing-Powered Human Resource Management Systems for Improved Fraud Detection Accuracy

Abstract

This study investigates the subject matter outlined in the title above through a structured research design appropriate to its academic level. Using primary and/or secondary data collection methods, the research examines the underlying variables, tests relevant hypotheses, and presents findings with implications for practice and policy. This is placeholder abstract text generated for catalogue preview purposes; the full document contains a complete, topic-specific abstract, literature review, methodology, data analysis, and conclusion.

Chapter One — 1.1 Background to the Study

Organizations that depend on human resource management systems are under increasing pressure to modernize, and Serverless Computing has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

Despite this potential, many existing human resource management systems were not originally designed with serverless computing in mind, resulting in persistent gaps in fraud detection accuracy that limit their overall effectiveness. This study examines how Serverless Computing can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to fraud detection accuracy within human resource management systems remain largely reactive and fragmented, with little systematic use of serverless computing despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around serverless computing.

1.3 Objectives of the Study

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

1.4 Research Questions

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

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Serverless Computing within human resource management systems. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on serverless computing applications in software technology / IT.

1.6 Scope of the Study

As a study of this kind, its scope is confined to designing and evaluating a serverless computing-based solution for human resource management systems, focused specifically on fraud detection accuracy; broader deployment considerations fall outside this scope.

Chapters Two through Five, references and appendices are available for a one-time fee of ₦75,000.

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