Software Technology / IT · BSc · REF. TA-0680
Evaluating the Role of Chatbot Technology in Decision Support within Attendance Management Systems
Abstract
This BSc study investigates the subject matter outlined in the title above through a structured research design appropriate to the BSc 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 attendance management systems are under increasing pressure to modernize, and Chatbot Technology has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.
In practice, however, adoption of chatbot technology within attendance management systems has been uneven, and its actual impact on decision support 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 decision support within attendance management systems 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
- To design and implement a chatbot technology-based approach to improving decision support in attendance management systems.
- To evaluate the effectiveness of Chatbot Technology in enhancing decision support within attendance management systems.
- To identify the key requirements and constraints relevant to deploying chatbot technology in this context.
- To assess user and stakeholder perception of the resulting system.
1.4 Research Questions
- How can chatbot technology be applied to improve decision support in attendance management systems?
- How effective is Chatbot Technology at enhancing decision support within attendance management systems?
- What requirements and constraints are relevant to deploying chatbot technology in this context?
- 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 attendance management 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 chatbot technology-based approach to improving decision support within attendance management systems. Reflecting its BSc-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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