Articles

New emotion-sensing technologies can help employees make better decisions, improve concentration, alleviate stress, and adopt healthier and more productive work styles. But companies must address important privacy issues.

Considering the increasing pace of technological change and volatility in many industries, the need for corporate transformation is rising. Unfortunately, the chance of successfully achieving it is falling.

Research indicates that the reason women aren’t making more rapid inroads on corporate boards is that few have reached the most influential board leadership positions. Although more women are on boards now than 10 years ago, very few have been promoted to a post that would give them influence beyond their seat at the table.

It’s common practice to develop a handful of strategic priorities to focus strategy — but formulated correctly, they’re also useful communication tools for both internal and external stakeholders. Clear, credible priorities linked to explicit metrics offer a framework for assessing progress toward the company’s goals, in a way that abstractions like vision or mission cannot.

Today’s retailers need to adopt a data-driven view — with the goal of understanding how website features and advances in AI will affect consumer behavior.

Technology has made business more globally connected than ever before. This is especially true for innovation projects, where diverse experts bring their specialized knowledge to play. But there’s a hitch: Many of today’s team projects have built-in hurdles because of differing communication styles, cultures, and professional norms. Leading this kind of “extreme teaming,” which often involves complicated hierarchies of power, demands both curiosity and humility.

Many executives are enthusiastic about the business potential of machine learning applications. But business leaders often overlook a key issue: To fully unlock the benefits of artificial intelligence, you’ll need to upgrade your people’s skills — and build an empowered, AI-savvy workforce.

Even if your job is high paying, it is wise to ask yourself whether it is common and repetitive enough to be done by a machine. If you conclude that it is, it’s time to look for — or create — less commoditized work.

When you’re developing a strategy for a new business, testing assumptions in your plan in a logical order gives you the best chance to make course corrections early — and not waste time and money.