In comparison to numerous other ASEAN nations, Indonesia continues to be categorized as a country with a comparatively high number of fraud instances. To reduce future fraud cases, particularly in Indonesia, studies that keep concentrating on examining different aspects and techniques useful in...

This article estimates the subjective well‐being of the oasis, peripheral and border region of Drâa‐Tafilalet in Morocco through sentiment analysis of its media coverage. We extracted nearly 174,000 articles published between October 1991 and September 2020 from the website of a Moroccan...

Leveraging Wall Street Journal news, recent developments in textual analysis, and generative AI, we estimate a narrative decomposition of the dollar exchange rate. Our findings shed light on the connection between economic fundamentals and the exchange rate, as well as on its absence. From the...

IT governance is a framework that manages the efficient use of information technology within an organization, focusing on strategic alignment, risk management, resource management, performance measurement, compliance, and value delivery. This study investigates the role of IT governance in...

Purpose: This study aims to investigate the impact of big data disclosure on audit quality in the Omani context. Design/methodology/approach: This study used data extracted from annual reports for a sample from financial companies listed on the Muscat Stock Exchange over the period from 2014 to...

Leveraging Wall Street Journal news, recent developments in textual analysis, and generative AI, we estimate a narrative decomposition of the dollar exchange rate. Our findings shed light on the connection between economic fundamentals and the exchange rate, as well as on its absence. From the...

The rapid development of new technologies, particularly Big Data and artificial intelligence, brings numerous advantages and benefits but also presents specific risks. Expanding technological capabilities to record, archive, and process vast amounts of data can lead to unethical uses, especially...

Background: This study examines the application of Artificial Intelligence (AI) and Big Data Analytics (BDA) in enhancing humanitarian supply chain resilience, focusing on Ghana and South Africa. Despite their potential, AI-BDA applications are underexplored in disaster response, particularly in...

Small and medium enterprises around the world, and especially in emerging markets, face challenges when it comes to market segmentation. They have limited knowledge of the importance of big data customer insights for making concrete market segmentation decisions. The purpose of this study was to...

The research involved developing and implementing a big data-driven demand forecasting and dynamic pricing system for retail businesses in Ukraine. The methodology covered gathering a massive database from online trading platforms, transactional information from points of sale, and loyalty...

This paper explores the emerging field of Industry 5.0 in the context of healthcare supply chains (HSC). It aims to improve resilience, sustainability, and efficiency through human-centred techniques and cutting-edge technology. This study focuses on HSC management and emerging technologies such...

Recent developments in big data analytics (BDA) enable financial institutions to optimize their decision-making processes. However, many BDA projects fail due to a lack of understanding of the value related to the realisation process. Guided by affordance actualisation theory, this article uses...

In the contemporary digital landscape, influencer marketing combined with advanced data analytics has become essential in fostering brand evangelism and consumer advocacy. This study examines how data-driven influencer marketing strategies influence brand loyalty and advocacy among consumers....

Amplifying corporate environmental investments is a pivotal strategy for achieving the "carbon peak and carbon neutral" objectives of China's green development initiative. The digital transformation has the potential to generate new quality productive forces by leveraging data, thereby promoting...

This paper presents a framework for collecting large datasets of hotel reviews (e.g., from Booking.com and TripAdvisor) and performing useful analytics from the data collected. This approach automates data collection, reduces manual effort, enhances data cleaning, and standardizes data...