We use a rigorous three-stage many-analysts design to assess how different researcher decisions-specifically data cleaning, research design, and the interpretation of a policy question-affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...

Purpose - The purpose of this paper is to provide an incisive commentary on the role of replication in advancing knowledge accumulation in organizational science. For research to be credible, it must be replicable. However, replication studies are seldom published in high-quality management...

We perform a quantitative synthesis of 807 estimates of the effect of macroeconomic news announcements on exchange rates, as reported in 25 studies. Estimates are tested for publication selection using visual examination of funnel plots, linear asymmetry tests, and recent non-linear testing...

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...

We use a rigorous three-stage many-analysts design to assess how different researcher decisions—specifically data cleaning, research design, and the interpretation of a policy question—affect the variation in estimated treatment effects. A total of 146 research teams each completed the same...

Eliciting social norms is essential for understanding a range of behaviors in economic contexts. This paper reviews key experimental approaches to social-norm measurement, comparing the methods, practical considerations, and specific conditions under which each is most effective. We discuss...

The correspondence of historical personalities serves as a rich source of psychological, social, and economic information. Letters were indeed used as means of communication within the family circles but also a primary method for exchanging information with colleagues, subordinates, and...

Are estimates typically closer to the true parameter value when those estimates are published in highly-ranked economics journals? Using 14,387 published estimates from 24 large literatures, we find that, within literatures, the mean and variance of parameter estimates have little or no...

This paper introduces the WebAI paradigm as a promising approach for innovation studies, business analytics, and informed policymaking. By leveraging artificial intelligence to systematically analyze organizational web data, WebAI techniques can extract insights into organizational behavior,...

Recent developments in artificial intelligence raise fundamental questions about the future of academic accounting research. Using insights from institutional theory, existing institutional structures, and interviews with senior editors and PhD program chairs, we examine how AI advancements may...

The following sections provide a description of the methodology used as part of the Supervisory Review and Evaluation Process (SREP) for assessing the interest rate risk in the banking book (IRRBB) and credit spread risk in the banking book (CSRBB) of significant institutions. The ECB uses a...

In the race for international leadership in the field of artificial intelligence, China has been in first place for years - both in terms of the number of AI research contributions and of citations. Since the publication of ChatGPT at the end of 2022 at the latest, this contradicts the general...

A recent cross-cultural study suggests employees may be classified, based on their scores on a measure of work ethic, into three profiles labeled as "live to work," "work to live," and "work as a necessary evil." The present study assesses whether these profiles were stable before and after an...