Utilising AI-based Chatbot for Maximising Value and Profitability of Islamic Financial Institutions

Zaki Ahmad, Ikhlas al-Amatullah, Mohamed Nafeel Mahboob
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Abstract

global Islamic finance industry has experienced significant growth in recent years, establishing Islamic financial institutions (IFIs) as prominent players in the international financial landscape. To maintain competitiveness and sustainability, IFIs must embrace innovation and explore avenues for maximising their performance. This research aims to investigate the effect of AI-based Chatbots on the value and profitability of IFIs in Organisation of Islamic Cooperation (OIC) countries. The study has employed quantitative methodology, and the data was collected from the Bloomberg database, Thomson Reuters DataStream, World Development Indicators and annual reports of 104 IFIs across 44 OIC countries from 2020 to 2022. Employing the Generalised Method of Moments (GMM), this study investigates the impact of AI-based Chatbots on the value and profitability of IFIs. The findings show a positive impact of Chatbot on Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q (TBQ). Furthermore, the analysis reveals that variables such as Gross Domestic Product (GDP), institutional size (SIZE), and age (AGE) exhibit positive associations with the value and profitability of IFIs. Conversely, the study identifies Consumer Price Index (CPI) as exerting a negative influence on the value and profitability of IFIs, indicating potential challenges posed by inflationary pressures. IFIs may consider investing in the development and deployment of advanced AI technologies to enhance overall profitability. Keywords: AI-based Chatbot; Profitability; Islamic financial institutions (IFIs); OIC Countries; Dynamic GMM
利用人工智能聊天机器人实现伊斯兰金融机构价值和盈利最大化
近年来,全球伊斯兰金融业取得了长足的发展,伊斯兰金融机构(IFIs)在国际金融领域占据了重要地位。为了保持竞争力和可持续发展,伊斯兰金融机构必须拥抱创新,探索最大化其绩效的途径。本研究旨在探讨基于人工智能的聊天机器人对伊斯兰合作组织(OIC)国家的伊斯兰金融机构的价值和盈利能力的影响。研究采用了定量方法,数据来自彭博数据库、汤森路透数据流、世界发展指标以及 44 个伊斯兰合作组织国家的 104 家国际金融机构 2020 年至 2022 年的年度报告。本研究采用广义矩法(GMM)研究了基于人工智能的聊天机器人对国际金融机构价值和盈利能力的影响。研究结果表明,聊天机器人对资产收益率(ROA)、净资产收益率(ROE)和托宾 Q 值(TBQ)有积极影响。此外,分析还显示,国内生产总值(GDP)、机构规模(SIZE)和年龄(AGE)等变量与国际金融机构的价值和盈利能力呈正相关。相反,研究发现消费物价指数(CPI)对国际金融机构的价值和盈利能力产生负面影响,这表明通货膨胀压力带来了潜在挑战。国际金融机构可考虑投资开发和部署先进的人工智能技术,以提高整体盈利能力。关键词基于人工智能的聊天机器人;盈利能力;伊斯兰金融机构;伊斯兰会议组织国家;动态 GMM
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