1. Change
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2. Quality Improvement Paradigm (QIP)
AKA Empirical Software Engineering
Understand: characterize current product, problems, process
Assess: experiment and pilot projects to assess impact of change
Package: train, document, standards, etc. to support introduction of change
Highly rational approach
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3. Diffusion "It just happens"
Rumors, games, etc.
Geographic proximity, high value/low cost
Not very controllable
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4. Hole-in-the-floor (top-down)
Engineers develop perfect system
Cut hole in floor
Drop system on users who immediately change
Before/after model
Emphasizes planning, but not very humane
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5. Newtonian (f=m/a) Bigger system, push harder!
Faster change, push harder!
Push in the right direction!
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6. Learning Curve (huh, got it, the last 10%)
statistical
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7. Satir Change Model Status Quo Intrusion of Foreign Element Chaos
Introduction of transforming Idea
Integration
New Status Quo
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8. Foreign Element New Status Quo Old status Quo Chaos Integration
Transforming
Idea
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9. Responses to Change Try to reject foreign element
Try to accommodate foreign element in old model
Try to transform old model to receive foreign element
Try to integrate
Practice to master new model
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10. Roger's Innovation Diffusion Factors
Relative advantage: how much better is it perceived to be?
Compatibility: how compatible is it to how we do things?
Complexity: how difficult is it to understand and use?
Trialability: can I experiment with it before deciding?
Observability: how visible are the results to others?
Added, but useful:
Image: how much will it enhance my image or status?
Trust: do I (the adopter) think the provider is trustworthy?
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11. Daryl Conner Managing at the Speed of Change
Shock
Denial
Anger
Bargaining
Depression
Testing, redefine goals
Acceptance
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12. References
Quality Software Management: Anticipating Change by Gerald M. Weinberg, ISBN
Managing at the Speed of Change by Daryl R. Conner, ISBN:
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