Drucker's Six Ideas about Knowledge Work Environments - DBR 031
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In the podcast, we study knowledge work and how to get better at it. This touches on a lot of different disciplines, notably management. Typically, I discuss management as how we should manage ourselves. So, when I talk about managing knowledge work, I usually mean how do we manage ourselves as knowledge workers. I believe that we are increasingly called on to manage ourselves but covered that in Episode 11. Managing means many things, but it at least means watching out for a worker’s productivity - helping, coaching, teaching how to be a more productive (and thus valuable) knowledge work employee. This is also quite important as we look to manage ourselves. In this episode, I’ll talk about six components of knowledge worker productivity, as defined by Peter Drucker. I’d suggest that you look at each one of them to incorporate into your self-management, or look for in how you are managed. In this episode, I’ll unpack those and describe how to think about them. Knowledge worker productivity (at the level of the economy)
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- Increasing knowledge worker productivity
- Peter Drucker asked the question 50 years ago
- The simplest way - eliminate waste.
- Defining productivity for knowledge workers so we can measure productivity for ourselves
- Example – what task am I accomplishing here on this episode
- Hire people that are smarter than you and let them define the task
- The expert alone can say what constitutes reasonable productivity
- Example from programming – productivity is lines of code?
- Get out of their knowledge worker’s way while encouraging them to innovate on process
- Scrum as a knowledge worker management practice: kaizen in scrum
- Continuous learning and teaching – Continuing Education credits in the professions
- Continuous teaching to both ‘students’ and customers
- Code as knowledge work – quality is hard to define and easy to overdo
- “Maximizing” quality vs. efficient quality
- But knowledge workers can’t do quality alone – we need input from the customer/user
- Knowledge workers' work suits the purposes of the organization – they’re productive in the environment and feel valued
- Knowledge workers want to do their specific work - it's hard to coerce knowledge workers; they’ll game the system
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