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When AI Teammates Come On Board, Performance Drops
Even when machine intelligence outperforms human workers, when it replaces a human colleague, group productivity falls, a new study found. In addition, the output of people who are simply observers is negatively affected. Managers need to think carefully about the impact that AI has on team sociability, motivation, and trust. -
Solving the Globalization Puzzle
To remain competitive, smart multinationals ensure they can rapidly globalize or localize certain parts of their businesses as needed. Here’s how they do it. -
The Not-So Scary Truth About AI
Despite all the Terminator scenarios, many commercial applications of artificial intelligence are really just as an essential business tool. -
Solving the Globalization Puzzle
To remain competitive, smart multinationals ensure they can rapidly globalize or localize certain parts of their businesses as needed. Here's how they do it. -
The Not-So Scary Truth About AI
Despite all the Terminator scenarios, many commercial applications of artificial intelligence are really just as an essential business tool. -
Why You Should Let Your Favorite Employee Move to Another Team
New research on talent-hoarding manager behaviors that prevent subordinates from pursuing jobs elsewhere within a company shows that it's bad for organizations, employees, and managers themselves. While managers may have real incentives to hold on to high performers, their reputations as talent blockers will cost them in the long run. They authors share data-backed evidence that letting their best employees go is often in managers own best interests. -
Revisiting Strategic Assumptions
Why managers can assume making strategic assumptions supports effective decision-making. -
Closing the Innovation Performance Gap: Open Innovation in Military Bureaucracies
This article explores the effects of open innovation on innovation performance in military bureaucracies. While the understanding of how bureaucratic organizations can benefit from open innovation is still limited, this study discovered that open innovation can have a negative effect on innovation performance. However, leveraging an innovative culture can lead to improved innovation performance in organizations characterized by high levels of structure and hierarchy, especially those where secrecy and security are of vital importance. -
Revisiting Strategic Assumptions
Why managers can assume making strategic assumptions supports effective decision-making. -
Why Companies Need to Lobby for Climate Policy
Companies that are serious about sustainability tend to ignore one of the most powerful tools available to them: lobbying to advance climate policy. Yet, without a business case for doing so, companies fail to invest adequately in advocacy. To change this, they first need to identify the most applicable business rationale for investing in advocacy. This article explains what leaders need to know about building a business case and strategy for climate policy advocacy. -
How Lufthansa Shapes Data-Driven Transformation Leaders
Lufthansa knew it had to do more to become truly data-driven. The airline's data experts were struggling to get everyone behind the company's transformation goals, and data and AI literacy was low. The organization felt that turning all of its leaders into data leaders would be key to its future success. In creating a data leadership program, Lufthansa learned much about the roles that different people play in data-driven change. Its approach has lessons for others facing similar challenges. -
The Politics of Place and What It Means for Talent Strategy
A survey of 500 U.S. realtors shows 32% had at least one client who relocated in 2023 due to political fit. What does this mean for your ability to attract and retain talent? Plenty. Examine three approaches that leaders and organizations can take to navigate the tensions, as illustrated in real-world examples. -
Why Decentralized Digital Enterprises Require Modern Networks
The evolution of networks into a cornerstone of decentralized digital enterprises marks a profound shift in the business landscape. -
Why Decentralized Digital Enterprises Require Modern Networks
The evolution of networks into a cornerstone of decentralized digital enterprises marks a profound shift in the business landscape. -
AI and Statistics: Perfect Together
Today's AI developers struggle to predict which algorithms will work. AI lacks a basis for inference: a solid foundation on which to base predictions and decisions. This makes AI tough to explain, creates mistrust, and dooms many AI models to fail in deployment. However, help for AI teams and projects is available from an unlikely source: classical statistics. This article explains how business leaders can apply statistical methods and engage statistics experts to improve results. -
Serve More Customers With Inclusive Product Design
Products designed for the average user can unintentionally exclude those with special needs or from marginalized populations. People designing products for a more diverse set of users can start by asking a simple set of questions. The ADDRESSING framework, which considers diversity along multiple dimensions, including age, disability, religion, and nationality, can help product teams widen their view of their target market. -
The Invisible Barriers Holding Top Talent Back
New research suggests that people's judgments of equity depend on their beliefs about the structural causes of success. When they take into account the overlooked structural factors that influence how people work is evaluated and their ability to be productive, their ideas of fairness begin to shift. This finding is particularly salient when evaluating the work of women, who often face invisible barriers. The researchers suggest four takeaways for organizations and managers to address this. -
Why Executives Can't Get Comfortable With AI
What do organizations that successfully unlock AI's strategic potential have in common, according to recent research? Executives with high AI literacy. Many leaders will be uncomfortable with the need to continually learn about artificial intelligence as the technology evolves, but executives and board members need to embrace that discomfort and make it a habit. This article shares three ways to put that habit into action. -
When AI Investments Pay Off in Marketing
Three payoffs stand out in the use of AI in marketing: increased sales productivity, increased customer satisfaction, and lower marketing overhead costs. That’s according to data from The CMO Survey of U.S. marketing leaders. The amount gained depends on how long companies have been using the tools, their digital transformation stage, and their level of experimentation. The most common uses of AI (content personalization and creation) do not have the biggest payoffs. -
A Tale of Two Hot Sauces: Spicing Up Diversification
The dueling fortunes of two hot sauce manufacturers demonstrate the power of strategic diversification in the areas of supply chain, products, customers, and channel. Managing risk on these multiple fronts early on, McIlhenny thrived while competitor Huy Fong Foods failed to follow suit, rendering the former market leader an also-ran in hot sauce.