W. Edwards Deming Quotes About Learning

Quotes about: Learning

• Learning is not compulsory; it's voluntary... But to survive, we must learn.

  W. Edwards Deming

  Inspirational, Leadership, Education

  "Deming: The Way We Knew Him". Book by Frank Voehl, February 28, 1995.

• Two basic rules of life are: 1) Change is inevitable. 2) Everybody resists change.

  W. Edwards Deming

  Learning, Knowledge, Two

• Our prevailing system of management has destroyed our people. People are born with intrinsic motivation, self-respect, dignity, curiosity to learn, joy in learning. The forces of destruction begin with toddlers - a prize for the best Halloween costume, grades in school, gold stars - and on up through the university. On the job people, teams, and divisions are ranked, reward for the top, punishment for the bottom. Management by Objectives, quotas, incentive pay, business plans, put together separately, division by division, cause further loss, unknown and unknowable.

  W. Edwards Deming

  Stars, Jobs, Motivation

• What we need to do is learn to work in the system, by which I mean that everybody, every team, every platform, every division, every component is there not for individual competitive profit or recognition, but for contribution to the system as a whole on a win-win basis.

  W. Edwards Deming

  Teamwork, Mean, Learning

• ...a person and an organization must have goals, take actions to achieve those goals, gather evidence of achievement, study and reflect on the data and from that take actions again. Thus, they are in a continuous feedback spiral toward continuous improvement. This is what 'Kaizan' means.

  W. Edwards Deming

  Learning, Mean, Data

• People are born with intrinsic motivation, self-esteem, dignity, curiosity to learn, joy in learning.

  W. Edwards Deming

  Motivation, Self Esteem, Learning

• Eliminate numerical quotas, including Management by Objectives.

  W. Edwards Deming

  Learning, Knowledge, Quota

• All models are wrong; some models are useful.

  W. Edwards Deming

  Learning, Programming, Models

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