Science topics: Entrepreneurial EconomicsBottom-Up Innovation
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Bottom-Up Innovation - Science topic
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Questions related to Bottom-Up Innovation
In the context of developing countries, mainly in subsaharian Africa, a large number of the population do not have access some products because of their lack of financial means because they are poor! They can not afford to buy food in a supermarket because the price is high! I can see them as non-consumer according to Clayton Christensen's definition of disruptive innovation. Do you have about other publication that show the relationship between poverty and innovation? High-end market and low-end market...
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Dans le contexte des pays en développement, la plupart des personnes ne peuvent pas accéder à certains produits faute de moyens financiers parce qu'elles sont pauvres ! Cette situation me semble correspodre aux caractéristiques de la définition des innovations de rupture selon clayton Christensen. Avez vous des références à partager
Good morning RG community,
Seeking guidance please!
I had an interesting email exchange regarding sustainable fire safety operations, machine learning, and sustainable smart cities today. Bottom-line, my colleague could not accept my position (sustainability applies to Fire Safety & Planning.
Advice please, how would you convince a very bright researcher to think more broadly? Obviously, fire safety is more pressing but my colleague does not want to discuss a small project scope change could create an important technology innovation for all society.
What should be the scientific approach to draw test framework to justify validity and reliability of the data used in research works?
Research use to be done based on data inputs from primary and secondary data source.
To validate qualitative and quantitative data, its recommended to come out with effective test framework which can help in justification of the validity and reliability of the data.
Hello. I want to standardize a platform to prepare micrometric (900-1200 nm) drug nanosuspensions (nanocrystal dispersions), at my laboratory, of curcumin and other hydrophobic drugs. I have read about preparation methods and we are going to select first a bottom-up procedure since we don't have the equipment to employ a top-down approach. So, I know the main steps: dissolve hydrophobic compound in organic solvent and then mix it with an aqueous solution with a stabilizer. In my laboratory I have a bath sonicator, would that be enough to produce a narrow PDI? What's the setting and the procedure of the mixing of the phases and the stirring/sonication? Do you have any specific protocol paper about this? Thanks a lot.
I would like to know what scholars of innovation systems and related topics think about a bottom-up approach to an innovation study. Mainstream innovation studies take top-down approaches in the sense of deciding a-priori what the problem is, what the innovation is, how the bottom should tackle these issues, etc. The bottom-up approach first gives voice to the ground, to the elements/actors that emerge to be involved in a system, what their problems and constraints are, what they see as opportunities and how they tackle all this, i.e. how they innovate.
I might be wrong of course and I would like to know your opinions, your approach, what you think, etc.
From an outlook of the definitions given by Eric Von Hippel and other literatures, User Innovation is an innovation based on the creation novel products or refinement of existing products by users, which according to most articles (users) are only keen on benefitting from utilizing their new products or modifications without having a vivid intention for profit. This in particular can be likened to open innovation. So are there any differences between User Innovation and Open Innovation?
We started a new project to analyze supply chain resilience in New Zealand. The plan is using bottom-up collected quantitative and qualitative data as an addition to the already established statistical database, and use these for developing the network and input-output models. We want to model the ripple of effect of different events and explore the potential impacts improving the bouncing back capabilities. Do you have any similar experience in any parts of the above? I would like to talk about your experience and understand what kind of difficulties we have to face off.
The M-Pesa model demonstrates the beneficial impacts to society (government, firms and households) through reduced costs for financial intermediation, improved efficiencies in service delivery to the bottom of the pyramid, the productivity implications, the security benefits of going cashless, efficiencies in tax collection and the facilitation in spurring related innovations.
see video
Despite the overwhelming success in Kenya, similar successes has not been translated in other overseas jurisdictions. What are the barriers to successful diffusion in other jurisdictions ? Is the lack of success due to the resistance of the incumbent banking sector, the conservatism of the regulators, the different local cultures, the density / ubiquity of the smart phone penetration ?
i) Is there any connection between the two,
or
ii) are they two different concepts for two different scenarios?
Lindblom, C. E. (1959). The science of" muddling through." Public administration review, 79-88.
Sarasvathy, S. D. (2004). The questions we ask and the questions we care about: reformulating some problems in entrepreneurship research. Journal of Business Venturing, 19(5), 707-717.
The realisation of employee innovative performance and output varies in the literature. A popular measure is the patent. However, in the context on a long ideation funnel where 3000 ideas are said to lead to 300 potential patents which may eventually result in one commercial success, (Stevens & Burley 1997), then patents would seriously underrepresent the deep and rich ideation cauldron that feeds innovative output. Further, patents record "substantially new" process or product developments, and not the small incremental "shopfloor innovations" that are more pervasive and occurring daily in firms (Axtell et al 2000). In that context, what other measures would be suitable for capturing and reflecting innovative output at the individual employee level in firms
Measuring innovation is cristal clear when a patent, an utility model, a plant variety or a new trade mark is developed by researchers. However, when social or institutional innovations are developed, or technology transfer is done with peasants or small farmers, innovation is very difficult to measure.
