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This episode was recorded live with three evidence-based management experts, Denise Rousseau, Rob Briner and Eric Barends, answering and discussing questions sent in by teachers and students of the subject.
During the disucssion, we touched on many aspects of evidence-based management, including:
- Starting with basic principles rather than complex frameworks makes evidence-based management accessible to busy professionals
- Problem identification is the most critical and often overlooked step in the evidence-based management process
- AI tools can support evidence-based decisions but require specific prompting and critical evaluation of outputs
- Evidence-based management works best as a team sport where colleagues help identify each other's blind spots - including biases
- Rather than trying to build a whole evidence-based culture, start with your sphere of influence and share evidence supportively
- Building evidence-based practices requires social networks of support within and outside organizations
If you have questions about evidence-based management that you'd like addressed in future episodes, please send them to us. We're planning to make "Ask the experts" a regular feature of the podcast.
Host:
Karen Plum
Guests:
- Eric Barends - Managing Director, Center of Evidence-Based Management
- Denise Rousseau, H J Heinz University Professor, Carnegie Mellon University, Pennsylvania, USA
- Rob Briner, Professor of Organisational Psychology, Queen Mary University of London; Associate Research Director at Corporate Research Forum
Contact:
Eric Barends, Managing Director of the Center for Evidence-Based Management
Chapters
1. Welcome to the expert panel (00:00:00)
2. What's a practical way to teach evidence-based management thinking to mid-level managers who feel overwhelmed by frameworks or academic terms (00:01:58)
3. How do you handle situations where the best available evidence is limited? (00:07:20)
4. With the growing influence of AI, are you worried that human critical thinking might be eroded as we delegate judgement to AI assistants? (00:12:07)
5. How do we validate the evidence AI is using? (00:18:49)
6. What is a really common bias that often flies under the radar? (00:34:11)
7. How do you build a culture around evidence-based decision making when leadership prefers visionary or gut driven systems? (00:37:35)
18 episodes