Research Highlight

Learn how to design work systems and resource portfolios to address bottlenecks that affect company performance.

Consider these three takeaways for leaders on how to avoid pitfalls while using generative AI tools in decision-making.

Research reveals eight types of consumers, whose commitment to and willingness to pay for sustainable products varies.

Women who demonstrate leadership behaviors and traits are less likely than men to identify as leaders.

A study uncovers how taking a strategic approach to diversity, equity, and inclusion can boost financial performance.

Relying on generative AI tools to boost human efficiency can lead to more homogenous, less-original work outputs.

Research shows that better decision-making can be achieved through the strategic use of artificial intelligence systems.

Learn how to transform employees’ use of publicly available GenAI tools at work from organizational liability to asset.

Factory inspections yield more thorough and honest assessments when protections for auditors’ safety are in place.

Digital disruption is not always an organization’s best option. Here’s how to decide whether to disrupt or adapt.

Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.

Digital nudges can encourage reactive thinking and limit employees’ ethical thinking.

Insecure managers who feel threatened by subordinates who have innovative ideas need incentives to change their behavior.

Managers who stymie their high performers’ internal advancement do so at their own expense, research shows.

New research shows that learning about hidden workplace inequities can shift perceptions of fair employment practices.

New research shows where marketers are seeing gains from AI and how to speed up payoffs.

Two automation initiatives succeeded by scoring potential processes and combining technical and process knowledge.

Knowledge sharing platforms may not deliver full value if users are focused on self-promotion, not learning from others.

A new framework can help companies fine-tune their product demand forecasting by using human and AI agents in concert.

Managers who seem to be delivering others’ messages rather than acting autonomously can lose credibility and authority.