An Investigation into Behavioural and Organisational Factors Affecting AI-based Chatbot Adoption for Client Service Management in Namibia's Banking

Abstract

This study investigates the adoption of artificial intelligence (AI)-based chatbot in Clients Service Management within Namibia’s banking sector. The research sought to assess the role of AI-driven chatbot in enhancing clients satisfaction and operational efficiency, to identify factors that enable or inhibit their adoption, and to recommend strategies for optimising their integration. Guided by a mixed-methods design, data were collected through semi-structured interviews with 15 purposively selected participants including senior managers, employees and clients supplimented by 36 structured questionnaires distributed to a broader client base. Qualitative data were analysed thematically, revealing key drivers of adoption such as 24/7 service availability, cost reduction, and the ability to handle high volumes of routine inquiries, while highlighting challenges related to privacy concerns, occasional inaccuracies, and clients trust. Quantitative analysis using descriptive statistics supported these findings, showing high levels of user satisfaction and frequent chatbot engagement but also measurable reservations about data security and complex query handling. Triangulating these insights confirmed that AI-based chatbot significantly improve efficiency and clients experience when complemented by human oversight and continuous system updates. The study concludes that strategic investment in advanced natural-language processing, employee training, and transparent data-protection policies will enhance AI-based chatbot effectiveness and clients acceptance. These findings contribute to the growing body of African financial-technology research and provide practical guidance for Namibian Banks and other regional financial institutions seeking to leverage AI for competitive advantage in clients service.