Teresa Amabile · ESM · Global Creativity and Innovation Indexes
Workshop 2 of 2
Amabile’s componential theory and the work environment.
Four short pings on ourselves, then a look at what self-report data can show.
The Global Innovation Index and the Global Creativity Index, and their limits.
Our own data: what did it show, and what can it not show?
What can our data show, and what can it not show?
The room opens each ping for you. No code to remember: your phone keeps it.
A response that is novel and appropriate (useful, valuable) to a task or goal that is heuristic rather than algorithmic.
Three components inside the person, one outside. Creativity is highest where all of them overlap.
Link to Monday: the content validity of any creativity test depends on defining the domain.
Link to Monday: fluency, flexibility, originality (TTCT) and remote associations (RAT).
Each component matters at a different stage: motivation at identification, skills at preparation.
Amabile’s theory sits across three quadrants. The indexes we meet later sit in the fourth.
A preview of my point of view.
Ping 2 lands in the middle of this.
Ping 3 is coming.
The GCI has not been updated on a regular cycle.
| Global Innovation Index | Global Creativity Index | |
|---|---|---|
| Purpose | Innovation capability and output | Conditions that attract and use creative talent |
| Focus | Institutions, R&D, patents, trademarks, creative outputs | Technology, talent, tolerance |
| Cadence | Annual | 2015 (periodic) |
| Strength | Comparable, transparent, widely used in policy | |
| Weakness | Both are national-scale, composite and mostly objective data | |
Does a patent count equal creativity? Does “tolerance” capture inclusion?
National averages hide local differences: clusters, cities, communities.
Indicators favor formal, IP-protectable, market-based creativity. Everyday and informal creativity is invisible.
Rank changes can reflect methodology and data revisions as much as real change (WIPO says so in its own appendix).
Composite indexes need careful weighting and sensitivity analysis (Nardo et al., 2008).
For a critique of the thesis behind the GCI, see Peck (2005).
Ping 4 lands during this task.
Open the live debrief in the ping room: every answer is already there, grouped by ping.
Questions to ask the data:
Compare change within each person with differences between people.
In the moment. Less recall bias. Captures variation within people.
Reactivity. Self-report only. A tiny sample. A classroom is not everyday life.
Improve it with week-long signals in natural settings.
Pair it with objective data: a product rated with CAT, or sensor data.
The quadrants are lenses, not silos. The best studies cross them.