Transforming the capabilities of artificial intelligence in GCC financial sector: a systematic literature review

HU Khan, MZ Malik, MKB Alomari… - Wireless …, 2022 - Wiley Online Library
Identity and access management is a business process framework that makes it easier to
maintain genuine user identities and regulate access to sensitive assets. The word “access …

Money laundering as a transnational business phenomenon: a systematic review and future agenda

EA Isolauri, I Ameer - Critical Perspectives on International Business, 2022 - emerald.com
Purpose Money laundering continues to emerge as a transnational phenomenon that has
harmful consequences for the global economy and society. Despite the theoretical and …

[HTML][HTML] The impact of artificial intelligence disclosure on financial performance

FS Shiyyab, AB Alzoubi, QM Obidat… - International Journal of …, 2023 - mdpi.com
This study determines to what extent Jordanian banks refer to and use artificial intelligence
(AI) technologies in their operation process and examines the impact of AI-related terms …

Exploring the impact of predictive analytics on accounting and auditing expertise: A regression analysis of LinkedIn survey data

OO Adebiyi - Available at SSRN 4626506, 2023 - papers.ssrn.com
Considering the recent development of big data and its application in various business and
management endeavors, there is a growing need for businesses and management of …

Has the world of finance changed? A review of the influence of artificial intelligence on financial management studies

S Zakaria, SMA Manaf, MT Amron… - Information …, 2023 - ojs.amhinternational.com
Artificial intelligence (AI) has had a tremendous impact on financial management research,
revolutionizing how financial data is analyzed and decisions are made. It has the ability to …

Fighting money laundering with statistics and machine learning

RIT Jensen, A Iosifidis - IEEE Access, 2023 - ieeexplore.ieee.org
Money laundering is a profound global problem. Nonetheless, there is little scientific
literature on statistical and machine learning methods for anti-money laundering. In this …

Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints

JV Alves, D Leitão, S Jesus, MOP Sampaio… - arXiv preprint arXiv …, 2024 - arxiv.org
Learning to defer (L2D) aims to improve human-AI collaboration systems by learning how to
defer decisions to humans when they are more likely to be correct than an ML classifier …

Digital and sustainable products to achieve sustainable business goals along the path to industry 5.0

I Gigauri, LR Janjua - … , sustainable development, and industry 5.0: An …, 2023 - emerald.com
Abstract Industry 4.0 with artificial intelligence (AI), the Internet of Things, and automation are
giving way to Industry 5.0 which places emphasis on workers' well-being, people, and …

Predicting mobile money transaction fraud using machine learning algorithms

ME Lokanan - Applied AI Letters, 2023 - Wiley Online Library
The ease with which mobile money is used to facilitate cross‐border payments presents a
global threat to law enforcement in the fight against money laundering and terrorist …

Towards ingenious technology and the robust enforcement of financial markets laws to curb money laundering in Zimbabwe

H Chitimira, M Ncube - Potchefstroom Electronic Law Journal …, 2021 - ajol.info
Technology has positively contributed to the creation of financial markets and the facilitation
of payments globally. The effective use of robust technology could enhance the consistent …