> Below, someone mentioned "servant leadership". It is my first time to learn about term. It sounds brilliant.
It's a term from Agile/Scrum.
> Plus, the it is an interesting idea to strictly tie manager's comp to reports' comp.
Then the incentive exclusively becomes raising the reports' comp. That might be detrimental to organizational goals. Many salaries are structured as base + short-term incentive + long-term incentive, but clearly that obviously doesn't seem to work as well as it should, either. For companies, it's well-known that aligning objectives is complicated. After decades of 'Management Science', it doesn't seem to me that we are any closer to managing alignment across orgs ideally than we've been in the past. There may not be a silver bullet to this.
That said, thinking about OP's comments about natural-born managers, and how there are natural-born artists, and how generative AI like Stable Diffusion can deliver good results for those that are not natural artists, we may actually need to turn to generative AI to solve for managerial tasks in an optimal way across large orgs. That might even resolve issues with misaligned incentives. Training such an AI could be done on a curated corpus of HBR-type case studies. And you could actually test performance of different corpuses by measuring real-world performance of the corresponding business units in which these AIs operate.
It's a term from Agile/Scrum.
> Plus, the it is an interesting idea to strictly tie manager's comp to reports' comp.
Then the incentive exclusively becomes raising the reports' comp. That might be detrimental to organizational goals. Many salaries are structured as base + short-term incentive + long-term incentive, but clearly that obviously doesn't seem to work as well as it should, either. For companies, it's well-known that aligning objectives is complicated. After decades of 'Management Science', it doesn't seem to me that we are any closer to managing alignment across orgs ideally than we've been in the past. There may not be a silver bullet to this.
That said, thinking about OP's comments about natural-born managers, and how there are natural-born artists, and how generative AI like Stable Diffusion can deliver good results for those that are not natural artists, we may actually need to turn to generative AI to solve for managerial tasks in an optimal way across large orgs. That might even resolve issues with misaligned incentives. Training such an AI could be done on a curated corpus of HBR-type case studies. And you could actually test performance of different corpuses by measuring real-world performance of the corresponding business units in which these AIs operate.