EST. 2026

The Archive

Software Technology / IT · MSc · REF. TA-0742

Design and Implementation of a Chatbot Technology-Based Mobile Banking Applications

Abstract

This MSc study investigates the subject matter outlined in the title above through a structured research design appropriate to the MSc 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

The rapid evolution of Chatbot Technology has transformed the way organizations design, deploy, and manage mobile banking applications. As institutions seek to modernize legacy processes, Chatbot Technology offers new opportunities to improve service delivery, reduce manual overhead, and respond more effectively to user needs.

In practice, however, adoption of chatbot technology within mobile banking applications has been uneven, and its actual impact on predictive maintenance is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Existing approaches to predictive maintenance within mobile banking applications remain largely reactive and fragmented, with little systematic use of chatbot technology despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around chatbot technology.

1.3 Objectives of the Study

  1. To design and implement a chatbot technology-based approach to improving predictive maintenance in mobile banking applications.
  2. To evaluate the effectiveness of Chatbot Technology in enhancing predictive maintenance within mobile banking applications.
  3. To identify the key requirements and constraints relevant to deploying chatbot technology in this context.
  4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

  1. How can chatbot technology be applied to improve predictive maintenance in mobile banking applications?
  2. How effective is Chatbot Technology at enhancing predictive maintenance within mobile banking applications?
  3. What requirements and constraints are relevant to deploying chatbot technology 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 chatbot technology for their own mobile banking 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 chatbot technology-based approach to improving predictive maintenance within mobile banking 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.

Chapters Two through Five, references and appendices are available for a one-time fee of ₦50,000.

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