Chapter One — 1.1 Background to the Study

Low-Code/No-Code Development Platforms has become one of the more actively explored innovations in the design of modern ride-hailing applications, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

Despite this potential, many existing ride-hailing applications were not originally designed with low-code/no-code development platforms in mind, resulting in persistent gaps in system performance that limit their overall effectiveness. This study examines how Low-Code/No-Code Development Platforms can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to system performance within ride-hailing applications remain largely reactive and fragmented, with little systematic use of low-code/no-code development platforms despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around low-code/no-code development platforms.

1.3 Objectives of the Study

1. To design and implement a low-code/no-code development platforms-based approach to improving system performance in ride-hailing applications.
2. To evaluate the effectiveness of Low-Code/No-Code Development Platforms in enhancing system performance within ride-hailing applications.
3. To identify the key requirements and constraints relevant to deploying low-code/no-code development platforms in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can low-code/no-code development platforms be applied to improve system performance in ride-hailing applications?
2. How effective is Low-Code/No-Code Development Platforms at enhancing system performance within ride-hailing applications?
3. What requirements and constraints are relevant to deploying low-code/no-code development platforms 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 low-code/no-code development platforms 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 low-code/no-code development platforms-based approach to improving system performance within ride-hailing applications. Reflecting its MSc-level scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.