The existing classification of market pull and technology push will be particularly shown and called into question by suggesting a conceptual framework. Additionally, the most common front end innovation models will be introduced. Finally, the authors will introduce how a technology-based service company is managing the connection of these two alternatives. A special focus will be laid on the accordant methods in order to search for current market needs and new related technologies.
Here are the best and brightest products of the year. Such ubiquitous usage may be diluting the very meaning of innovation. But as the global economy searches for ways out of its current morass, the word is again fresh on many lips—innovation economy, innovation strategies, innovation officers, and the foreboding-sounding innovation gap.
BioFab GEN9 Modern pharmaceutical, chemical, and fuel companies increasingly depend on synthetic biology to produce DNA tailor-made to suit their production needs.
Making synthetic genes to program microorganisms used to require a lot of time, in addition to expensive robots and other equipment, but Gen9 has developed BioFab, a new system that can quickly and cheaply produce tens of thousands of double-stranded DNA fragments of between and 1, base pairs in length.
The company, which launched this summer, currently has about 20 customers—half from industry, half from academia.
Brings the cost and speed of DNA synthesis down to the point where entire vectors can be designed and assembled from scratch. A critical component needed to make synthetic biology a reality. Ion Proton System Life Technologies Human-scale genome sequencing just got a whole lot more accessible.
Launched in September, Ion Proton is driven by the same semiconductor technology—which converts chemical information directly into digital data—that powers the successful Personal Genome Machine PGM. For now, the Proton I chip sequences a human exome in a few hours. But in earlyLife Technologies will release the Proton II chip, designed to handle an entire human genome, from sample prep to full sequence, in 8 hours.
By making large-scale sequencing more widely available, this machine will enable a new era of discovery, he adds. This opens up all sorts of possibilities for interpretation of animal experiments, clinical trials, and the evaluation of new therapeutic interventions.
MyCell Services Cellular Dynamics International This October, Shinya Yamanaka shared the Nobel Prize in Physiology or Medicine for his discovery that injecting a few transcription factors into a differentiated adult cell can render that cell pluripotent once again.
The technology revolutionized biomedical research, allowing scientists to create induced pluripotent stem cell iPSC models for a variety of diseases.
Ultimately, he says, the goal is to identify specific genetic profiles that indicate susceptibility to adverse drug reactions. Labguru BioData Vanishing are the days when grad students and postdocs scribble their experimental setups and data in splotched black-and-white notebooks.
Labs across the world are going digital, and Labguru is a new product that could change the way that labs chart their progress. Gustavo Valbuena, a research pathologist at University of Texas Medical Branch at Galveston who studies the pathogenesis of Rocky Mountain spotted fever among other phenomena, has used Labguru in his lab for the past 9 months.
Use of the basic iPad app and Web version is free. This could finally start to bring experimental biologists out of the paper age and into the computer age. For a 2-square-foot device it packs a lot of throughput, supporting 2x base pair runs and generating up to 8.
Over the next 2 years, it will also be used to track superbug outbreaks in hospitals, says Derrick Crook, a microbiologist at the University of Oxford, U.Technology push. The team simply develops the product and tosses it ‘over the wall’ to users in the belief that there's a need for it, the technology is complete and ready to use, and users are technically skilled enough to use it without help.
Previous 12 Part 2: 3 Technology push and market pull. Next Market pull. Push-based models to innovation are more internally and technologically oriented.
Push-oriented organizations know (or at least assume to know) the challenges of the market, and the users, and are simply looking for the best ways to address these challenges, usually with new technology.
Innovation occurred at the fast growing multinationals isolated from universities. 2. MARKET PULL. The mid ’s to early were characterized by a ‘market shares battle’ that induced companies to shift their development focus to a ‘need pull’. The central focus became responding to the market’s needs.
oped a model which has important lessons for how we think about managing innovation (Figure ). 2 In the early stage – the ‘fl uid’ phase – there is a lot of uncertainty and emphasis is placed on product innovation. Early models of innovation presented innovation as a linear phenomenon where each element/stage in the process was considered modular and unconnected to other parts of the innovation process (Rothwell, ), underpinned by a linear underpinning approach to innovation; “Technology push” and “demand pull”.
Based on the empirical analysis of the global DRAM market, we show that the relative importance of technology-push and demand-pull in technological innovation is described by an L-type curve which describes the phenomenon where technology-push is greater than demand-pull in the early stages and then decreases as demand-pull becomes greater.