基于人工智能的绿色银行技术与银行稳定性——气候变化的调节作用

Q2 Arts and Humanities
Dr. Amina Elshamly, S. Rehman, M. M. Rahman, Rabia Hameed, Zainab Jameel
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引用次数: 0

摘要

不稳定的银行体系可能导致糟糕的经济结果。通过SMART-PLS使用SEM技术;本研究分析了N=380家积极参与采用绿色银行技术和实施气候变化举措(即可再生能源)的银行的主要受访者的数据。本研究发现,绿色银行技术(即聊天机器人、面部识别、欺诈检测)的采用显著且积极地改善了银行稳定性和银行对气候变化举措的响应,部分且积极地中介了基于人工智能的绿色银行技术与银行稳定性之间的关系。本研究对管理者和决策者具有现实意义和理论意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-Based -Green Banking Technologies And Bank Stability –Moderating Role Of Climate Change
An unstable banking system may result in poor economic outcomes. By using SEM techniques through SMART-PLS;  this study analyzes the data from  N=380 key respondents of banks who are actively involved in adopting green banking technologies adoption and implementing climate change initiatives (i.e., renewable energy ). This study found that the adoption of green banking technologies (i.e., chatbots, facial recognition, fraud detection ) has significantly and positively improved bank stability and bank responses to climate change initiatives, partially and positively mediated the relationship between AI-based green banking technologies and bank stability. This study has both practical and theoretical significance for managers and policymakers.
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来源期刊
Journal of Namibian Studies
Journal of Namibian Studies Arts and Humanities-History
自引率
0.00%
发文量
11
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