InfoQ Homepage Presentations Can the Kanban Method Avoid Becoming another Management Fad?
Can the Kanban Method Avoid Becoming another Management Fad?
Summary
Benjamin Mitchell believes that Kanban risks to become a fad if it does not cover gaps related to experiencing embarrassment and threat, proposing a solution based on the double-loop learning model.
Bio
Benjamin Mitchell has over 15 years experience as a developer and manager, recently leading a Front Office we-based derivatives trading system for BNP Paribas. He uses ideas from Systems Thinking, Lean and Kanban, combined with a background in psychology to create safe environments that encourage learning through experimentation, in order to get knowledge and continuously improve. @benjaminm
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Community comments
The trolly problem
by Joseph Flahiff,
Great Presentation
by Chris Matts,
Re: Great Presentation
by Chris Matts,
The trolly problem
by Joseph Flahiff,
Your message is awaiting moderation. Thank you for participating in the discussion.
I was confused by the example of the fat man so I looked it up. Here is the full description
en.wikipedia.org/wiki/Trolley_problem
Great Presentation
by Chris Matts,
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Hi Benjamin
This is a great presentation. Wish I could see it live. Perhaps we will have to arrange a session at XTC with an overhead projector.
As the person who stated that the InfoQ piece was a "Hatchet Job" I would like to check whether you climbed the ladder of influence on my intent. You assume in a very data based approach that I wanted to use the official definition of hatchet job. I did not. I used "Hatchet Job" in its colloquiall meaning a bad job.
If someone had checked if my definition of "Hatchet Job" was the official definition as you describe, I would have backed away from the term.
It just goes to show how hard it is to do this stuff. Its good stuff so keep it up.
Chris
Re: Great Presentation
by Chris Matts,
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Being very conscious of language. I inferred from the presentation that I may have meant to use the official definition of "Hatchet Job".
How does the model deal with Hyperbole? This definition -> ;-) en.wikipedia.org/wiki/Hyperbole