Chapter One — 1.1 Background to the Study

The rapid evolution of Cloud Computing has transformed the way organizations design, deploy, and manage ride-hailing applications. 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.

In practice, however, adoption of cloud computing within ride-hailing applications has been uneven, and its actual impact on customer onboarding speed 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 ride-hailing applications in many organizations struggle with inadequate customer onboarding speed, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating cloud 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 cloud computing-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a cloud computing-based approach to improving customer onboarding speed in ride-hailing applications.
2. To evaluate the effectiveness of Cloud Computing in enhancing customer onboarding speed within ride-hailing applications.
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 customer onboarding speed in ride-hailing applications?
2. How effective is Cloud Computing at enhancing customer onboarding speed within ride-hailing applications?
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 ride-hailing applications, 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 customer onboarding speed within ride-hailing applications. Reflecting its clearly defined scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.