Mastering the Hype Cycle¶
Fenn, J., & Raskino, M. (2008). Mastering the Hype Cycle: How to Choose the Right Innovation at the Right Time. Harvard Business Press.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Amara's Law
- Amara's law compresses several related phenomena into one diagnostic family: the hype cycle, the S-curve of adoption, the productivity-paradox gap, and the general-purpose-technology long-term-impact literature.
This sourceEstablishes Gartner's Hype Cycle (peak of inflated expectations, trough of disillusionment, plateau of productivity), the hype-cycle component of the diagnostic family.
- Amara's law compresses several related phenomena into one diagnostic family: the hype cycle, the S-curve of adoption, the productivity-paradox gap, and the general-purpose-technology long-term-impact literature.
- Speculative Bubble
- Technology: Hype cycles, where inflated expectations of a technology peak and then trough before any eventual recovery, a trajectory Fenn and Raskino (2008) codified in the Gartner "hype cycle" as a predictable sequence from inflated peak to trough of disillusionment.
This sourceFormalizes how emerging-technology signals are translated into stage-typed narratives (innovation trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, plateau of productivity) that decision-makers can interpret.
- Technology: Hype cycles, where inflated expectations of a technology peak and then trough before any eventual recovery, a trajectory Fenn and Raskino (2008) codified in the Gartner "hype cycle" as a predictable sequence from inflated peak to trough of disillusionment.
- Weak Signals & Emerging Issues
- Scenario-integration translation — the work of mapping signal-level observations onto coherent scenario-level narratives — is the central craft Fenn and Raskino (2008) develop in Mastering the Hype Cycle, which formalizes how emerging-technology signals are translated into stage-typed narratives that decision-makers can interpret.
This sourceFormalizes how emerging-technology signals are translated into stage-typed narratives (innovation trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, plateau of productivity) that decision-makers can interpret.
- Scenario-integration translation — the work of mapping signal-level observations onto coherent scenario-level narratives — is the central craft Fenn and Raskino (2008) develop in Mastering the Hype Cycle, which formalizes how emerging-technology signals are translated into stage-typed narratives that decision-makers can interpret.
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