Overconfident chief executives and their risky behaviours can be partly restrained through credit ratings, new research finds.

 New research from the University of Toronto’s Rotman School of Management shows that a multi-point system like that is prone to subtle, often unconscious, racial bias -- yet with significant financial consequences for non-white workers.

According to a study by the University of Jyväskylä and the LUT University, green consumption is more common in Finland than it is in Sweden or the United Kingdom, yet the share of non-green consumers continues to be significant. Green consumers tend to be ecologically conscious, but they are also aware of brand and fashion trends. So-called premium green consumers had a higher income level and were younger than other consumers on average.   

A research team led by POSTECH Professor Hyung Joo Lee found that NO₂ exposure levels were consistently higher in areas with higher socioeconomic status—an outcome shaped by South Korea’s distinctive history of rapid economic development and urban planning.

A new study published in the journal Science analyzes the results of a randomized controlled trial (RCT) that showed that brick kiln owners in Bangladesh are willing and able to implement cleaner and more efficient business practices within their operations—without legal enforcement—if they receive the proper training and support, and if those changes are aligned with their profit motives. The study is the first to rigorously demonstrate successful strategies to improve efficiency within the traditional brick kiln industry.

In Core Assumptions in Business Theory: A Wedge Between Performance & Progress, Professor Rangan brings together leading social scientists and philosophers to analyse and reflect on these fundamental assumptions across various business disciplines, including economics, strategy, marketing, leadership and operations.

This paper develops a power system dispatching model that integrates thermal power, wind power, photovoltaic (PV) generation, and energy storage systems (ESS). The model uses Monte Carlo simulations to analyze the impact of renewable energy and ESS capacities on electricity costs, carbon emissions, power fluctuations, and renewable energy utilization. The study optimizes the system configuration using the NSGA-II algorithm and provides valuable insights for decarbonizing power systems while ensuring energy equity.