AI Chatbots in Fintech Sector: A Study Towards Technological Convergence

The Fintech industry, particularly banks, has witnessed a profound transformation with the integration of artificial intelligence chatbots, redefining customer experience and engagement. As Fintech firms increasingly integrate AI chatbots into their platforms, understanding customer perceptions becomes paramount for strategic decision-making and sustained success. To unravel the complexities of this convergence, a holistic examination is needed, encompassing not only the technological aspects but also the strategic dimensions that underpin competitive advantage. In this context, the role of intellectual property, particularly patents, emerges as a critical factor shaping the innovation landscape. This study aims to comprehensively investigate customers' perceptions towards AI chatbots in the Fintech industry, with a specific focus on technological convergence. The study seeks to analyze the impact of cuttingedge AI chatbot technologies, including those protected by patents, on user attitudes and overall customer experience within the dynamic fintech landscape. This study provides a comprehensive review of 40 empirical studies on AI chatbots in the fintech industry, particularly the banking sector, featuring patented innovations using the PRISMA methodology. Study outcomes illustrate emerging themes related to consumer behavior and response to financial chatbots in terms of acceptance and adoption intention. Additionally, four key factors that influence how people perceive, anticipate, and engage with fintech chatbots, namely satisfaction, trust, anthropomorphism, and privacy are explored. In conclusion, the finance industry's effective integration and broad use of AI chatbots is dependent on the convergence of four factors: satisfaction, privacy, trust, and anthropomorphism. Current study offers a strong basis for analysing and resolving the obstacles to AI chatbot acceptance and deployment in the financial sector by addressing all these elements extensively. This exploration of technological convergence in fintech industry by analyzing customers' behavior and response to financial chatbots not only contributes to a comprehensive understanding of its intricacies but also serves as a foundation for development and deployment of user-centric fintech chatbots.

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Publication Details

Journal
Recent Advances in Computer Science and Communications
Published
2024-10-16
DOI
https://doi.org/10.2174/0126662558325422240926103718
Citations
1
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.53
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article

AI Chatbots in Fintech Sector: A Study Towards Technological Convergence

Namrata Dogra, Chandni Bansal, Chand Prakash Saini, Gaydaa AlZohbi et al.
1 citations
Recent Advances in Computer Science and Communications
FinTech, Crowdfunding, Digital Finance
0.53
article

AI Chatbots in Fintech Sector: A Study Towards Technological Convergence

Namrata Dogra, Chandni Bansal, Chand Prakash Saini, Gaydaa AlZohbi, Ajay Kumar
article en
1 citations

Abstract

The Fintech industry, particularly banks, has witnessed a profound transformation with the integration of artificial intelligence chatbots, redefining customer experience and engagement. As Fintech firms increasingly integrate AI chatbots into their platforms, understanding customer perceptions becomes paramount for strategic decision-making and sustained success. To unravel the complexities of this convergence, a holistic examination is needed, encompassing not only the technological aspects but also the strategic dimensions that underpin competitive advantage. In this context, the role of intellectual property, particularly patents, emerges as a critical factor shaping the innovation landscape. This study aims to comprehensively investigate customers' perceptions towards AI chatbots in the Fintech industry, with a specific focus on technological convergence. The study seeks to analyze the impact of cuttingedge AI chatbot technologies, including those protected by patents, on user attitudes and overall customer experience within the dynamic fintech landscape. This study provides a comprehensive review of 40 empirical studies on AI chatbots in the fintech industry, particularly the banking sector, featuring patented innovations using the PRISMA methodology. Study outcomes illustrate emerging themes related to consumer behavior and response to financial chatbots in terms of acceptance and adoption intention. Additionally, four key factors that influence how people perceive, anticipate, and engage with fintech chatbots, namely satisfaction, trust, anthropomorphism, and privacy are explored. In conclusion, the finance industry's effective integration and broad use of AI chatbots is dependent on the convergence of four factors: satisfaction, privacy, trust, and anthropomorphism. Current study offers a strong basis for analysing and resolving the obstacles to AI chatbot acceptance and deployment in the financial sector by addressing all these elements extensively. This exploration of technological convergence in fintech industry by analyzing customers' behavior and response to financial chatbots not only contributes to a comprehensive understanding of its intricacies but also serves as a foundation for development and deployment of user-centric fintech chatbots.

Recent Advances in Computer Science and CommunicationsVol. 18(5)
The NorthCap University (IN), Prince Mohammad bin Fahd University (SA), Shree Guru Gobind Singh Tricentenary University (IN), JECRC University (IN), O. P. Jindal Global University (IN), Centre for Aromatic Plants (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
FinTech, Crowdfunding, Digital Finance
0.53
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