The document discusses two frameworks for understanding the diffusion and adoption of innovations - the Hype Cycle and Diffusion of Innovation theory. Diffusion of Innovation theory by Everett Rogers seeks to explain how innovations are adopted by different groups in a population over time. It identifies five qualities that influence an innovation's rate of adoption and categorizes adopters into innovators, early adopters, early majority, late majority, and laggards. The Hype Cycle model similarly tracks emerging technologies through phases of a hype cycle from trigger to peak to through the trough of disillusionment.

1. The Hype Cycle AND THE DIFFUSION OF INNOVATION

2. Diffusion of Innovation Seeks to explain how innovations are taken up in a population. Innovation: an idea, behavior, or object perceived as new by its audience. Everett Rogers (1963) Diffusions of Innovations Why do some innovations spread? And others fail?

3. Five Qualities of Innovation Relative Advantage Compatibility with Existing Values and Practices Simplicity and Ease of Use Trial ability Observable Results 49-87% of Adoption Variation

5. INNOVATORS 2.5% OF POPULATION Innovative/Creative/Focused

6. EARLY ADOPTERS 13.5% OF POPULATION Strategic/Independent/Visionary

7. EARLY MAJORITY 34% OF POPULATION Pragmatic/Mainstream/Uncommitted

8. LATE MAJORITY 34% OF POPULATION Conservative/Risk Averse/Fearful

9. LAGGARDS 16% OF POPULATION Argumentative/Critical/Controlling

11. Roles in Innovation Innovators = Creators Early Adopters = First Followers Early Majority = Attracted to Simplicity Late Majority = Fear of Being Left Behind Laggards = Security of Others

12. Hype Cycle

13. 2010 Emerging Tech Hype Cycle User Experience and Interaction Augmented Reality Data-Driven Decisions Cloud Computing

14. 2011 Emerging Tech Hype Cycle Social Analytics/ Activity Streams Private Cloud Computing Mobile Technologies Payments QR Codes

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