Research and Insights from the Center for Effective Organizations
View Slides Two of the most respected voices in HR leadership - Susan Kelliher, former CHRO of Chemours, and Patrick McLaughlin, former CHRO of PepsiCo Foods North America had a candid, forward-looking conversation grounded in decades of experience leading world-class...
https://vimeo.com/1139023447/412bde228b?share=copy&fl=sv&fe=ci View the Slides AI is bringing a tsunami of change, challenge and opportunity to organizations. Everything from product development and backend operations, to the basics of how work is organized...
Last updated November 5, 2025 As businesses continue to navigate the ever-evolving challenges of today’s dynamic landscape, we want to remind you of the valuable resources available to support you and your organization. The shift to remote and hybrid work models, the...
In this podcast episode, host Cole Napper interviews Alexis Fink, former leader at Meta, Microsoft, and Intel, about her “post-corporate season,” where she now runs the People Analytics Board for I4CP, collaborates with USC’s Center for Effective Organizations, writes, teaches, and helps organizations navigate AI and the future of work. She also discusses the upcoming SIOP Leading Edge Consortium, the evolution of people analytics beyond dashboards, and the importance of balancing I/O psychology with data science and business acumen to drive meaningful organizational value.
The role of HR continues to evolve, yet ambiguity still surrounds its true impact at the executive level. In this episode, John Boudreau explores how courage and clarity can reshape the CHRO’s position in modern organizations.From bet-the-badge moments to building credibility with boards and senior teams, he highlights why courage is essential to turning ambiguity into opportunity.
Over the past quarter century, workforce/people analytics has become central to the work of HR. Yet good analytical work often fails to gain traction. And even though AI is poised to transform how analytics is conducted, it cannot solve the challenge of integrating data-based insights with effective organizational change. Integrating analytical practices with organization development and change practices can help each of these HR specialties be stronger, driving better overall outcomes for the organization, and make the best use of what AI has to offer.
We are living through a tornado of change in organizations. When things change, our old practices often don’t work as well – or, we’re worried that they won’t work as well. So, we change them – often on pretty shaky evidence. But most of the time when we do this, we are looking at a symptom – not at the root cause. Like a Sisyphean game of whack-a-mole, that root cause keeps throwing up problems in new places.
As some astute commentators have noted, many features of what we today call “artificial intelligence” have been around in a number of forms for many years. Prior to the launch of ChatGPT and the global explosion of people using generative AI models, we had machine learning and other forms of highly sophisticated computer-based modelling that provided many of the features of genAI behind the scenes, invisible to us end users. So in one sense, the current genAI models are like a coming out – or coming of age – party for a technology that now is clear to everyone.
AI is going – and has already started – to transform how work is done within organizations. Anywhere people are asked to weigh in on decisions has the potential to be disrupted by AI. And in these early days, it’s really hard to say for certain what the limitations of AI will be in most cases.
In this podcast of Out of the Comfort Zone with Wanda Wallace, Theresa Welbourne challenges conventional wisdom around employee engagement.
What does it truly take to build a responsive, high-performing organization—one that learns, adapts, and thrives over time? To answer that, Chris Worley unpacks what agility really means—beyond the buzzword—as well as how AI is transforming organizational life and what it takes to lead through today’s complexity.
We started eePulse in 1996 to transform how companies use employee survey data and to commercialize the work I was doing on employee energy, which required a more frequent measurement process because it is the fluctuation of energy, not measurement at one point in...