企业商业和财务管理中的人工智能:来自巴基斯坦的绩效分析

Rukhsana Rasheed, M. Ishaq, H. Rehman
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摘要

本文试图探索人工智能(AI)在金融和企业业务管理方面取得进展的许多迹象。它还需要确定人工智能应用在社会生活中的利弊。系统的内容分析方法已被用于展示人工智能的发展阶段。在数据集的基础上,形成了先驱者、调查者、实验者和被动者四种不同的组织成熟度集群。数据收集通过电子邮件、可定制聊天机器人、实时聊天软件和位于拉合尔和卡拉奇的十大在线公司以及各种银行和金融机构的自动助手进行,以进行行为分析。数据结果显示,财务管理和企业业务活动的各个方面都受到人工智能应用的高度影响。该研究表明,80%的高级企业高管认为人工智能提高了生产力,创造了新的商业途径。结果还表明,88%的先锋组织已经根据组织需求了解并采用了人工智能技术,82%的调查组织在试点阶段之后就没有使用人工智能,而24%的实验组织在不了解人工智能的情况下采用了人工智能。这些结果似乎反映了人工智能对金融业的深远影响,从量化交易到金融风险管理和欺诈检测,人工智能对金融业的信贷决策产生了深远的影响。这项研究还发现,人工智能的广泛使用带来了许多有待解决的伦理、道德和法律挑战。尽管人工智能日益普及,人们相信人工智能将超越人类标准提高工作绩效,但它不能完全取代人力资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence in Corporate Business and Financial Management: A Performance Analysis from Pakistan
This paper attempts to explore many signs of progress enabled by Artificial Intelligence (AI) in financial and corporate business management. It also amid to identify the benefits and cons of AI applications in social life. A systematic content analysis approach has been used to demonstrate the developmental phases of AI. Four distinct organizational maturity clusters i.e. Pioneers, Investigators, Experimenters, and Passives have been developed on basis of dataset. Data collections was carried through emails, customizable chatbots, live chat softwares and automated helpers of top ten online companies and various banking and financial institutions located in Lahore and Karachi cities for making behavioral analysis. The data results revealed that all aspects of financial managements and corporate business activities have been highly influenced by the application of AI. The study demonstrated that 80% senior business executives were of view that AI boost productivity and creates new business avenues. The results also demonstrated that 88% Pioneer organizations have understand and adopted AI techniques according to organization requirements, 82% Investigator organizations are not using it beyond the pilot stage whereas 24% Experimental organizations were adopting AI without understanding it. These results seem to reflect that AI has profound effects on financial industry to streamline its credit decisions from quantitative trading to financial risk management and fraud detection. This study also discovered that the widespread use of AI have raised a number of ethical, moral and legal challenges that are yet to be addressed. Although AI is gaining popularity day by day and it is believed that AI will improve work performance beyond human standards but it could not replace human resources fully.
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