Words and phrases that undermine your message can kill your career. To combat this, there’s even a Chrome extension that highlights the use of words like “sorry” and phrases like “does this make sense” in an effort to encourage more confident communication–particularly in women’s messages.
But a new study from Hive, a collaboration platform, indicates that men are just as likely to use those words and phrases. The State of Workplace Gender report, which surveyed 3,000 men and women across different workspaces, found that there are almost no differences in the use of “I think,” “please,” and happy face emojis. However, men are more likely (0.64%) than women (0.07%) to say they’re sorry in a message. And when women do say sorry, they are more likely to say it to each other.
Both women and men are more likely to send direct messages to their own gender. The survey also found that men assign 20% more tasks to men, and women assign 20% more tasks to women, and respondents indicated that they’re also slightly more likely to complete work assigned to them by someone of the same gender.
By: Lycia Dishman
Source: Fast Company
BCG analysis has found that among the 20 largest private equity (PE) fund portfolios, an average of 20% of assets are exposed to geopolitical risk (for several funds, the percentage is much higher). Companies must contend with three main areas of risk exposure: cross-border value chains, strategic sectors, and climate regulation and policies.
A group of global CEOs recently gathered for a private dinner in a Spanish restaurant in central Tokyo, representing a variety of sectors spanning food, insurance and banking, medical devices, semiconductors, and heavy industries like steel. These are six topics that dominated the evening’s discussion.
“Despite playing a significant role in organizations, HR is being left out of the conversation on AI adoption,” according to the report. That’s a mistake because HR leaders can help develop a strategic and holistic approach that considers the benefits, risks and objectives of AI use — while also maximizing return on investment and mitigating harms to reputation, security and inclusivity, it said.
