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Actually, there is a entire field dedicated to this (disclaimer: I studied it at uni, plus CS and info systems) - organizational studies [1]. It has subdomains such as organizational structure/models, behavior, communication, etc. Much of it backed by theories, studies and more, ranging in disciplines. Time and motion studies (for example) were part of the scientific management revolution for industrial management [2]. There have been both qualitative and quantitative studies of all kinds of things - organizational forms, people networks (things like, Dunbar's number[3]), power distribution (ex. work of Pfeffer), etc. I could go on. I do think we are reliving an era of interest in management by data and metrics, much like that of the industrial revolution and scientific management. Nothing wrong with using science and quantitative measures to optimize, but any human who has been subject to purely management by quantitative objective will likely tell you it often becomes.. rather, inhumane. This is often what led to automation, I feel - to remove the human element that was crushed by industrial efficiency. I suspect this is why the qualitative balance is important (and no less scientific - science can be logic not just metrics right?). My two cents... [1] https://en.wikipedia.org/wiki/Organization_studies [2] https://en.wikipedia.org/wiki/Time_and_motion_study [3] https://en.wikipedia.org/wiki/Dunbar%27s_number |
I had a similar thought on another commoncog.com post. The author didn’t seem to research deeply before postulating opinions. Looks like this site allows members to post so I don’t know if it’s the same person