- Ties being formed more quickly
- Implications of tie formation and pace of formation
- Enabling factors—open innovation, collaboration, crowd-sourcing—in order to come up with things that were unfathomable
- Institutions are slow to change; technology is evolving faster so that formal institutions are holding back
- Should we modify the formal institutions to ease innovation and building of networks and collaboration?
- How can we nurture the contributions of collaborations?
- Competition between closed systems and systems
- Collaborations between corporations and university scientists—benefits?
- Acceleration and constraint of pace of change—what mechanisms can be used?
- Bandwagons don’t really capture varying speeds in different time frames
- Need to explain multiple waves versus within one wave
- Technology changes the way people work together which changes how people use technology
- Co-evolutionary standpoint—focuses on one technology evolution and maps onto multiple factors
- Time, speed, etc
- How do you create metrics?
- Three populations—technology generators, people, and the institutions who use technology
- Focal point: pace of change in technological innovation
- Pace of change in institutions and universities is not increasing, even with heightened productivity and technology
- Why is the pace changing? Better minds, better tools, or better networks?
- Are we now culturally oriented to technology? Does society learn to expect greater technology?
- Are changes superficial for mankind? These changes may determine how we complete certain tasks, but are they fundamentally changing people?
- Matter of incentives, opportunities created
- More innovations due to use of computer to cut across all trades and job—the base number of things that could change increase
- Not necessarily better tools, but more risk allows for more change
- Diversity begets diversity
- Examine how connections are made
- Ex: co-authorships among professors at universities on the same pre-email platform due to ease of connectivity
- Networks: a change in one part leads to change in another so that change follows through the entire system
- Once networks are established, the overall structure and core doesn’t change much. The peripheral groups come and go but the structure stays the same
- Ex: Silicon Valley has several large, core firms that gobble up any successful start-ups
- As pace of change increases, do the incumbents become stronger?
This blog exists to document and expand on the discussions from the Future of Innovation Workshop held at Drexel University in August, 2014.
Monday, July 28, 2014
Session 1: Group 2
Group 2—pace of change: social construction of technology; adopting and adapting to technology
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