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Rob Briner

Professor of Organisational Psychology at Queen Mary University of London and Associate Research Director at Corporate Research Forum. Works half-time in academia and half-time in an HR research training consultancy business.

Top 3 podcasts with Rob Briner

Ranked by the Snipd community
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22 snips
Feb 4, 2022 • 28min

Module 6 A short introduction to science

Denise Rousseau is an expert in organizational research at Carnegie Mellon University, while Rob Briner teaches Organizational Psychology at Queen Mary University, and Eric Barends leads the Center for Evidence-Based Management. They explore how academics choose research topics based on interest and practicality. The guests discuss reading academic papers effectively, the significance of effect sizes, and the importance of comparing lab versus field studies. They also emphasize the need for control groups to differentiate between real and placebo effects in research.
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20 snips
Nov 12, 2021 • 31min

Module 1 Principles of evidence-based management

In this enlightening discussion, Eric Barends, Managing Director at the Center for Evidence-Based Management, emphasizes the importance of utilizing multiple reliable evidence sources in decision-making. Rob Briner, a Professor of Organizational Psychology, delves into the pitfalls of biases and the allure of management fads that often misguide organizations. They tackle how structured approaches can be daunting for leaders and urge a shift towards critically appraising claims from both practitioners and academics. Ultimately, they advocate for an evidence-based strategy to enhance decision quality.
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18 snips
Aug 19, 2025 • 47min

Ask the experts

In a lively discussion, experts Denise Rousseau, a leading professor at Carnegie Mellon, Rob Briner from Queen Mary University, and Eric Barends, Managing Director at the Center for Evidence-Based Management, tackle audience questions on evidence-based management. They stress the importance of starting with basic principles to make the concepts accessible. The trio delves into how AI can assist decision-making but requires critical evaluation, the critical need for teamwork to identify biases, and how to build supportive networks within organizations to enhance evidence-based practices.

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