Understanding Yourself and Others Profile and Course

With respect to hiring employees, developing talent, and building cohesive teams, nothing exceeds the importance of possessing a deep understanding of who you are and how you relate with others. To aid in this pivotal endeavor, Lausanne Business Solutions has crafted this one-of-a-kind workshop that delves into individual personality, resulting behaviors, and social styles and how they impact the way you interact with others and perform on teams.

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Is your Workforce Engaged? A Survey of Employee Happiness

Over the decades, management theorists and organizational psychologists alike have theorized a connection between employee engagement and business performance. With more research, results began to confirm a positive correlation between engagement and  performance (e.g., Judge et al., 2001; Harter et al., 2002). In other words, the results showed that individuals and business units which have higher employee engagement tend to outperform those whose level of enagement is low.

So if employee engagement and performance are so intricately linked, then executives everywhere must be rallying to make employee engagement a priority, right? Wrong. A recent Gallup poll shows that a whopping 87% of American employees report low engagement at work. Not only does this mean that the vast majority of us are unsatisfied, uninvolved, and apathetic about our jobs, it also suggests that overall performance could be taking an unnecessary hit. 

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Is big data hurting your business? 

Though big data has become the au courant method for decision-making in business, Gerd Gigerenzer, Director of the Max Planck Institute for Human Development and author of Risk Savvy, has argued that too much data-driven decisions could hurt companies. 

We recently had the pleasure of attending one of his talks on heuristics and optimal decision making at the University of Pennsylvania where he discussed his ‘fast-and-frugal’ method, which consists of a set of heuristics, or rules of thumb, designed to reduce the need for big-data-driven decisions and provide decision makers with intuitive and simple ways to make better decisions under conditions of uncertainty. Here’s what we learned.

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