Excession: AI & Management
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10. Conclusion
I have covered many problems with the current state of management science and many deep challenges that stand in the way of that state improving.
Aug 1
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David W Creelman
July 2025
9. Hidden Motives
All my talk about an improved science of management presumes people will use it to improve the performance of organisations.
Jul 27
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David W Creelman
8. Decisions Are Never Really Made
One challenge I raised in the book is that while a scientific approach might help us make decisions, when one studies organisations, one finds it hard…
Jul 24
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David W Creelman
7. Organizational Dynamics
While fractal localism leans towards looking at an individual situation with a microscope, and in essence trying to model that local system without…
Jul 20
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David W Creelman
6. Why Polarity Management Will Not Be Needed
Polarity management is one of my favourite ideas in management.
Jul 18
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David W Creelman
1
5. Grand Unified Theories
I have expressed regret that there was no attempt to create a grand unified theory in management science with the notable exception of the work of…
Jul 16
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David W Creelman
4. Fractal Localism
We normally build management theories from cloud objects.
Jul 15
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David W Creelman
3. Clearing the Fog of Cloudy Concepts
In my book, one of my core terms was “cloud objects” and I think we can be more precise about that now.
Jul 11
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David W Creelman
2 Solving the Problem of Folk Wisdom
If you have spent decades reading books on management, you will know there are a lot of helpful ideas—but also that it’s an overwhelming mess.
Jul 9
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David W Creelman
1. Addendum: Hope for a New Science of Management
An update to "Management for Scientists and Engineers"
Jul 8
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David W Creelman
1
November 2023
Managing AI Agents instead of People
Will there be useful parallels?
Nov 9, 2023
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David W Creelman
April 2023
The Tic-Tac-Toe Catastrophe
Being human in a world of AI
Apr 27, 2023
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David W Creelman
1
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