We examine the implications of robots and artificial intelligence (AI) for employment and productivity, using a rich firm-level database from the Survey of Business Activities provided by Statistics Korea. While previous studies have explored the effects of robots and AI separately, we...

This study analysed the determining factors of the concentration of "superstar firms" in specific economies, with a focus on the interaction between technological innovation, economic development, and market structures. Using global data from Statista on superstar firms for the year 2022,...

We investigate whether artificial intelligence can address the peer review crisis in economics by analyzing 27,090 evaluations of 9,030 unique submissions using a large language model (LLM). The experiment systematically varies author characteristics (e.g., affiliation, reputation, gender) and...

Artificial intelligence (AI) is crucial in achieving the carbon peak and neutrality goals and mitigating climate change. Although previous studies have explored cross-sectional differences in corporate carbon emissions, temporal heterogeneities in firm lifecycles have been overlooked. Therefore,...

From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models. While AI enhances predictive performance and...

Geoeconomic pressure - the use of existing economic relationships by governments to achieve geopolitical or economic ends - has become a prominent feature of global power dynamics. This paper introduces a methodology using large language models (LLMs) to systematically extract signals of...

Accurately predicting stock market movements remains a critical challenge in finance, driven by the increasing role of algorithmic trading and the centrality of financial markets in economic sustainability. This study examines the incorporation of artificial intelligence (AI) and machine...

The aim of this study was to explore how artificial intelligence (AI) impacts the quality of financial reporting, providing insights into new opportunities in this field for the Saudi context. This study employed the UTAUT theory to examine the adoption of AI technology in auditing practices....

Technology has become a major driver for business, society, and government in the present times. Businesses use technology to monitor their processes, improve their efficiency, and automate routine tasks along with other things while government may use the technology from a different...

This paper examines the racial implications of police interaction with algorithms, particularly in the context of racial disparities in rearrest predictions. Our experimental study involved showing police officers the profiles of young offenders and asking them to predict rearrest probabilities...

This study explores how French firms use artificial intelligence, leveraging a uniquely detailed and representative dataset with information on the use of specific AI technologies and how AI systems are deployed across different business functions within firms, in 2020 and 2022. The use of AI is...

This study examines the implications of artificial intelligence (AI) on employment, wages, and inequality in Latin America and the Caribbean (LAC). The paper identifies tasks and occupations most exposed to AI using comprehensive individual-level data alongside AI exposure indices. Unlike...

This study aims to provide insights to support organizations in building effective strategies for adopting Artificial Intelligence (AI) and improving project management processes. It focuses on open innovation projects. It employs a comprehensive and systematic literature review (SLR). A total...

The adoption of Artificial intelligence (AI) technology in the workplace is becoming more common, with several research highlighting both its positive and adverse influence on employee productivity (EP) and organizational performance (OP). Furthermore, there is a scarcity of research focused on...

Leib et al. (2024) examine how artificial intelligence (AI) generated advice affects dishonesty compared to equivalent human advice in a laboratory experiment. In their preferred empirical specification, the authors report that dishonesty-promoting advice increases dishonest behavior by...

This study investigates the transformative capacity of artificial intelligence (AI) in improving financial accountability and governance in the public sector. The study aims to explore the strategic potential and constraints of AI integration, especially as fiscal systems become more complex and...

This study evaluates the effectiveness of varying levels of human and artificial intelligence (AI) integration in reproducibility assessments. We computationally reproduced quantitative results from published articles in the social sciences with 288 researchers, randomly assigned to 103 teams...

How do perceptions of AI versus human authorship affect engagement with creative work? In an incentivized experiment, participants (N=654) assessed the content of a short story labeled as either human or AI-generated and reported their willingness to pay and work to finish reading it. Consistent...

This paper examines the potential for automation and artificial intelligence (AI) to induce a broader economic decline, impacting not only labor but also the owners of capital and advanced technology. While automation has traditionally favored skilled over unskilled workers, recent advancements...

Background: Accurate, real-time data about response technologies, capabilities, and availabilities are key to effective emergency response logistics; this is particularly important in remote settings, such as in the Arctic, where limited infrastructure, logistics, and technologies occasion the...