Chapter One — 1.1 Background to the Study

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

Despite this potential, many existing point of sale systems were not originally designed with cloud computing in mind, resulting in persistent gaps in fraud detection accuracy that limit their overall effectiveness. This study examines how Cloud Computing can be applied to help close that gap.

1.2 Statement of the Problem

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

1.3 Objectives of the Study

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

1.4 Research Questions

1. How can cloud computing be applied to improve fraud detection accuracy in point of sale systems?
2. How effective is Cloud Computing at enhancing fraud detection accuracy within point of sale systems?
3. What requirements and constraints are relevant to deploying cloud 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 cloud computing for their own point of sale 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 cloud computing-based approach to improving fraud detection accuracy within point of sale 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.