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There is a lot of work done on the third mission, knowledge triangle and triple helix which postulate that universities research should be more aligned to industrial application but the best methods of implementing this are unclear. This track looks at the current findings.
Details of nearly a million startups from all over the world are now available through publicly accessible databases, this track explores how this wealth of information can be used.
Traditional marketing techniques often prove to be ineffective for the design and diffusion of truly innovative offers, hence the need for a real “innovation marketing” but what techniques are available?
Digital technology has made it much easier to develop, test and launch new products, lowering the barrier of entry for start-ups but should they collaborate with encumbents? Who wins? Ferran Giones discusses.
Diversity in the different fields of R&D is often overlooked in the drive to create general-purpose frameworks, track chair Dr Jeremy Klein is looking forward to exploring this topic at the R&D Management Conference.
The role of Public Research Organizations (PROs) is often overlooked, however these institutes are often engaged in capital-intensive research projects that may incur significant public investment. Raffaella Manzini discusses the role of PROs and their value to industry.
My PhD research, supported by RADMA, is on interconnected influence factors at the front-end stage of innovation processes, using a systems theory perspective
Over hyped technology is part of the journey – but does this kill or make innovation? An R&D Management Conference track is exploring the dynamics of technological hype and legitimacy – two phenomena at heart of any technology’s innovation journey.
The aim of portfolio management is to ensure that a sensible set of innovation projects is supported by the company, for example balancing risk against reward.
Industrial innovation has changed fundamentally over the last ten years. Companies have widely adopted new tools such as open innovation, innovation networks and ecosystems. This best practice guide provides case-studies to share learning points.
To fail fast can save enormous waste later in the product lifecycle. Failure Mode and Effects Analysis (FMEA), enables potential errors or faults to be predicted during the early design stages and it is used by many companies as a central pillar of their design process.
Want to know about R&D Management but too busy to read all the journals? The editors for R&D Today have each selected a journal and have made a selection of the most interesting papers of recent years.