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When business leaders describe their organisational cultures as embracing what it means to ‘fail fast’ or suggesting that we are all in a ‘learning organisation’, it rings hollow if the aspirations are not lived and structurally supported. Employees see through the public relations of an organisation that markets itself as innovative yet executes the same playbook year after year.

Driving Data Projects: A Comprehensive Guide

Haskell, Christine

The Factors That Hinder Knowledge Transfer Are Often Structural Summary: Barriers to knowledge transfer or knowledge sharing are often structural, rather than merely the result of skill set limitations. Lessons can be transferred through storytelling, lessons with direction reviews and debriefs, analysis and research, and by allocating workload strategically. Placing the workload at the top, instead of burdening lower-level employees with excessive reading, is crucial. It is essential to identify the structural barriers causing the hindrance and address them. Transcript: Speaker 1 And if something is learnt at one end of the state, I need to transfer that to the other. Now you can do that with story, but you can also do that with lessons without direction reviews and debriefs. You can do that through analysis and research. And you can do that by putting the workload where it should be, you know, up at the top, rather than on the poor people down below expected to read 160 documents a year about everything Because they're going to remember that really, they're going to remember that, not in my experience. So what we have to do is take those really important lessons and then think, well, what are the structures that are causing that to happen? Speaker 2 And now we've already kind of hindered around this. What are the barriers to knowledge transfer or knowledge sharing? And is it just the skill set of listening and conversation? Is that the biggest barrier? Speaker 1 I think a lot of the barriers that we deal with are structural.

Organizational Structures That Enable Knowledge Flow With Stuart French

Because You Need to Know Podcast ™

Pol.is: An Example of Tools for Facilitating Non-Adverserial Debate at Scale Summary: A twitter-like system in Taiwan guides conversations towards consensual outcomes by using k-means clustering. It's a simple proof of concept for fact checking and has been effective in large-scale conversations. The science of plurality can advance to help navigate complexity in diverse opinions. Transcript: Speaker 2 Pol.is i don't know if you guys are familiar with that but it's a system used in Taiwan it's a twitter like format but it deliberately guides conversations towards consensual or partially Consensual outcomes while highlighting the differences that exist in the conversations in a non-judgmental way and it's just a wonderful system and at the same time it's like the Most simplistic proof of concept of the general direction it uses k-means clustering of stated opinions it doesn't use any natural language processing it's like the bargain basement Version of what it's trying to achieve but it still has been transformatively effective for these types of conversations at scale in Taiwan and is being adopted if it survives by the Twitter bird watch folks as the foundations of what they're trying to do for fact checking so i do believe that there is a science here that can advance dramatically i think that we have Not chosen to apply ourselves to it because we've been seduced by oh we're going to do the unbiased algorithm that's going to predict the truth the right way rather than saying no people Are diverse you have a lot of different opinions how do we actually help people navigate that complexity so i really am hopeful that this science what i would call plurality really can Advance and and help us do these things much better and again i'll put in the plug if you're a researcher interested in these things we're trying to build an academic community that really Wants to work on them right to me at when at pluralitynetwork.org

Glen Weyl & Cris Moore on Plurality, Governance, and Decentralized Society

COMPLEXITY: Physics of Life

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