This study examines the effect of tax complexity on the market value of publicly traded firms. Using firm-level measures of tax complexity, we find that a one standard deviation increase in tax complexity-comparable in magnitude to the rise following the U.S. Tax Cuts and Jobs Act-is associated...

Several behavioral models assume that choice over multi-attribute goods is systematically affected by the ranges of attribute values. Two recurring principles in this literature are contrast, whereby attributes with larger ranges attract attention and are therefore overweighted, and...

The concept of entrepreneurial ecosystems (EE) is gaining increasing attention from academics, professionals, and policymakers because of its potential as a policy tool for promoting economic growth. However, the theoretical foundation for analyzing EE needs further development to...

The study analyzes and assesses the economic and linguistic complexity of individual retirement products in Poland. For this purpose, an original multidimensional approach was used and various research methods were applied. We analyzed 75 out of 86 individual pension products (IKEs and IKZEs)...

Gill and Prowse (2023) study response times using a repeated p-beauty contest (p = 0.7). Looking at between-subject variation in response times, they found that subjects who think for longer, on average, win more rounds and choose lower numbers. When comparing average response times and level-k...

This study explores the role of complex problem solving in securing sustainable competitive advantage for organizations. It investigates whether the ability to resolve complex, multidimensional problems contributes to a firm's strategic positioning and operational efficiency. The research...

The triple planetary crisis of climate change, biodiversity loss and pollution is just one of many interconnected and mutually exacerbating socio‑economic crises currently challenging European and global societies. These accelerated and deeply interconnected crises challenge the conventional...

To study the effects of reminder nudges in complex environments, we apply a novel experimental approach based on a computer game in which decision makers have to pay attention to and perform multiple actions within a short period of time. The set-up allows us, first, to test the effect of...

Business complexity is an important informational friction but challenging to measure. We use a GPT large language model fine-tuned on narrative disclosures and inline XBRL tags to measure business complexity from a user perspective. Our measure negatively correlates with the speed of capital...

The industry and transportation sectors account for more than 35% of the global CO2 emissions and there is an increasing pressure on industry to reduce emissions. To remain competitive in their markets while reducing their emissions, companies need to re-optimize their entire value chain...