Examining factors influencing chatbot adoption in Takaful industry: Malaysian evidence

Purpose This study aims to investigate the potential of artificial intelligence (AI), particularly chatbots, to enhance Takaful services in Malaysia by examining the factors influencing users’ behavioural intention to adopt chatbot technology, grounded in the technology acceptance model. Design/methodology/approach The study employed a quantitative approach, collecting survey data from 229 Takaful subscribers in Malaysia. The data were analysed using SmartPLS to evaluate the relationships between key constructs, including perceived accuracy, ease of use, completeness, user satisfaction and behavioural intention, in predicting the adoption of chatbot technology. Additionally, the analysis examined the direct effect of perceived convenience on behavioural intention (BI), providing further insight into the drivers of chatbot usage in the Takaful context. Findings The analysis revealed that perceived ease of use and perceived accuracy have a significant positive impact on user satisfaction, which in turn strongly predicts behavioural intention to use chatbots. Furthermore, perceived completeness and perceived convenience were found to exert a direct positive influence on behavioural intention. These findings underscore the importance of functional reliability and user-centric design in fostering chatbot adoption. Although limitations remain, such as difficulties in handling complex queries and delivering real-time updates, users responded positively to the simplicity, responsiveness and accessibility of chatbot interfaces. Overall, the results underscore the need for continuous improvement of chatbot capabilities to enhance service quality in the Takaful sector. Originality/value This study addresses a research gap at the intersection of AI and Islamic finance, focusing on the underexplored potential of AI-driven chatbots in the Takaful industry. It represents one of the first empirical investigations within this context, offering practical insights for Malaysian Takaful providers to enhance service agility, customer experience and operational efficiency, while upholding Shariah compliance.

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Publication Details

Journal
International Journal of Islamic and Middle Eastern Finance and Management
Published
2025-09-22
DOI
https://doi.org/10.1108/imefm-01-2025-0056
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Examining factors influencing chatbot adoption in Takaful industry: Malaysian evidence

Hassanudin Mohd Thas Thaker, Zakaria Lacheheb, Bawani Lelchumanan, Farhad Taghizadeh–Hesary et al.
International Journal of Islamic and Middle Eastern Finance and Management
AI in Service Interactions
article

Examining factors influencing chatbot adoption in Takaful industry: Malaysian evidence

Hassanudin Mohd Thas Thaker, Zakaria Lacheheb, Bawani Lelchumanan, Farhad Taghizadeh–Hesary, Jarita Duasa
article en

Abstract

Purpose This study aims to investigate the potential of artificial intelligence (AI), particularly chatbots, to enhance Takaful services in Malaysia by examining the factors influencing users’ behavioural intention to adopt chatbot technology, grounded in the technology acceptance model. Design/methodology/approach The study employed a quantitative approach, collecting survey data from 229 Takaful subscribers in Malaysia. The data were analysed using SmartPLS to evaluate the relationships between key constructs, including perceived accuracy, ease of use, completeness, user satisfaction and behavioural intention, in predicting the adoption of chatbot technology. Additionally, the analysis examined the direct effect of perceived convenience on behavioural intention (BI), providing further insight into the drivers of chatbot usage in the Takaful context. Findings The analysis revealed that perceived ease of use and perceived accuracy have a significant positive impact on user satisfaction, which in turn strongly predicts behavioural intention to use chatbots. Furthermore, perceived completeness and perceived convenience were found to exert a direct positive influence on behavioural intention. These findings underscore the importance of functional reliability and user-centric design in fostering chatbot adoption. Although limitations remain, such as difficulties in handling complex queries and delivering real-time updates, users responded positively to the simplicity, responsiveness and accessibility of chatbot interfaces. Overall, the results underscore the need for continuous improvement of chatbot capabilities to enhance service quality in the Takaful sector. Originality/value This study addresses a research gap at the intersection of AI and Islamic finance, focusing on the underexplored potential of AI-driven chatbots in the Takaful industry. It represents one of the first empirical investigations within this context, offering practical insights for Malaysian Takaful providers to enhance service agility, customer experience and operational efficiency, while upholding Shariah compliance.

International Journal of Islamic and Middle Eastern Finance and Management
Tokai University (JP), International Islamic University Malaysia (MY), Kai Research (United States) (US), Sunway University (MY)
Openalex Percentile: Top 86%
AI in Service Interactions
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