Background: The growing complexity of production processes in the metal-mechanical industry demands ever more effective strategies for managing machine and equipment maintenance, as unexpected failures can incur high operational costs and compromise productivity by interrupting workflows and...

Shell companies can be a legitimate entity but can also been used for illicit activities such as money laundering. Users of shell companies have included illegal arms dealers, drug cartels, terrorists and cyber-criminals, as well as legitimate businesses. To assist in distinguishing between...

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing...

The study aims to systematically review the role of big data visualization in the auditing field. Employing a qualitative approach, the research utilized the Systematic Literature Review method to gather pertinent data. The study used 35 published articles extracted from different journals and...

Project Symbiosis - a collaboration between the BIS Innovation Hub Hong Kong Centre and the Hong Kong Monetary Authority (HKMA) – performed applied technology research, including through developing the Net Emissions Optimiser (NEMO) proof-of-concept (POC), to show how new technologies offer a...

As set out in Part 1, the first goal of Project Symbiosis is to explore how advanced data techniques and artificial intelligence (AI) can be leveraged to more accurately collect, interpret and calculate scope 3 emissions and other impact data in corporate supply chains. The project performed...

Part 3 provides a visual example of the approaches explored in Project Symbiosis. It applies them in a hypothetical use case within the consumer goods sector, from data collection through reduction assessment for a specified product type. As discussed in Part 1, AI and related technologies can...

Project Rio is a real-time market monitoring platform developed by the BIS Innovation Hub in collaboration with central banks to address the challenges of fast-paced electronic markets, particularly in foreign exchange (FX). It leverages modern, open-source technology to stream, process, and...

The report examines how central banks, financial regulators and supervisory authorities are using AI for policy purposes. They regularly work with vast data sets and complex decision-making processes to safeguard monetary and financial stability and ensure the integrity of payment systems. New,...

Supply Chain Analytics (SCA) has emerged as a critical factor in determining the success of electronic commerce (E-commerce) companies. This review investigates the significant impact that SCA has had on the advertising landscape in the e-commerce industry. This article examines the complex...

The general impact of artificial intelligence (AI) systems on businesses, governments and the global economy is currently a hot topic. This isn't surprising, considering that AI is believed to have the potential to bring about radical, unprecedented changes in the way people live and work. The...

In today's highly competitive business environments, manufacturers face stiff competition. As digital technologies have become more pervasive, many businesses in the manufacturing sector have begun to tap into the potential of big data analytics to gain an edge in their markets. Companies in the...

Startup companies operate in an unpredictable and unstable business environment. They​ have the potential to grow through optimal decision-making ►Or a suboptimal decision could spell the end of the company. Data analytics is often used to power and guide startup growth decisions. This​...

Healthcare sensor data analytics : foundational concepts, architecture, data analysis techniques, data quality, errors, and applications / G.S. Karthick -- Statistical approximation of streaming sensor data for enhancing healthcare analytics / Aadharsh B, Arunpriya C -- Sensor data analytics for...

This study addressed the connection between the organisational performance of data analytics and the elements that contribute to knowledge integration (KI) in family businesses under the scope of the knowledge-based view theory. The conceptual model was validated based on the responses of 135...

As digitization sweeps across industries and markets, analytics and data-driven decision-making (DDD) are becoming increasingly important. The adoption of analytics and DDD has been slower in small-to-medium enterprises (SMEs) compared to large firms, and reliable causal estimates of the impacts...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

This study proposes as a key cause of the high failure rates in the implementation of analytical projects for marketing decisions, the discrepancy in the information quality (DIQ) perceived between producers (information technology [IT]) and users (marketing) of knowledge. Given that the DIQ...

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially...