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Using Chatbot Application in Financial and Credit Institutions

عنوان مقاله: Using Chatbot Application in Financial and Credit Institutions
شناسه ملی مقاله: IBAEONF04_089
منتشر شده در چهارمین کنفرانس بین المللی نوآوری در مدیریت کسب و کار و اقتصاد در سال 1402
مشخصات نویسندگان مقاله:

Milad Hassani - MA Candidate of Information & Technology Management, College of Farabi, University of Tehran, Qom, Iran
Mohmmad Reza Fathi - Associate Professor, College of Farabi, University of Tehran, Qom, Iran

خلاصه مقاله:
This article examined the effect of artificial intelligence on digital economic inclusion, the have an effect on of social presence on trust and privateness issues in automatic monetary chatbots, and the usage and reception of textual content-based chatbots inside the economic zone. It also explored the incorporation of chatbots within the economic zone to enhance customer service and bank profitability. The observe presented a matrix model and technique version for evaluating the intersection of safety and accept as true with in chatbot packages inside financial and credit score establishments. The dialogue and conclusion highlighted commonplace issues and traits in chatbot technology within the banking area, such as adoption and acceptance, safety and privateness issues, technological advancements, patron engagement and pride, challenges and opportunities, and destiny guidelines for research and development. Additionally, the paper addressed the demanding situations and advantages of integrating chatbot applications in economic and credit score establishments, emphasizing the importance and necessity of chatbots in assembly evolving customer expectations, enhancing operational efficiency, and ensuring regulatory compliance. Key findings indicated the capacity for chatbots to improve customer engagement, satisfaction, and emblem usage purpose, in addition to the want for further enhancement of chatbot services in the banking area

کلمات کلیدی:
Artificial Intelligence, Intelligent Personal Assistants, Chatbot Technology, Financial Institution, Natural Language Processing

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1949508/