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...

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...

Big data are known to improve operational efficiency, competitiveness, and performance. Despite these unprecedented benefits, the understanding of how big data transform organizational processes remains limited. To address this gap, this research empirically investigates how big data analytics...

This research investigated the relationships between digital platforms, artificial intelligence (AI) adoption, and organizational innovativeness, presenting e-knowledge and big data analytics capability as mediators and strategic flexibility as a moderator. The study posited that digital...

In today's context of escalating environmental pressure, traditional methods of natural resource conservation face numerous challenges. The use of big data analytics to support the formulation of environmental policies has become a crucial approach for enhancing the efficiency and scientific...

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...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

Measuring and reducing energy consumption constitutes a crucial concern in public policies aimed at mitigating global warming. The real estate sector faces the challenge of enhancing building efficiency, where insights from experts play a pivotal role in the evaluation process. This research...

We demonstrate that regression models can be estimated by working independently in a row-wise fashion. We document a simple procedure which allows for a wide class of econometric estimators to be implemented cumulatively, where, in the limit, estimators can be produced without ever storing more...

As the concept of Big Data takes hold in the corporate world, modern businesses are making concerted efforts to manage data silos in advance of centralized data management. The multi-cloud structure of the data fabric provides a realistic approach to managing various forms of data. This study...

We use two waves of census data with detailed farm characteristics for the total population of Austrian farms to examine the causal effect of agritourism on farm survival. To account for self-selection into agritourism, we use regional variation in tourism intensity that is exogenous to...