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alan l porter

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Forecasting Innovation Pathways For New And Emerging Science & Technologies, Douglas Kr Robinson, Lu Huang, Ying Guo, Alan L. Porter Jan 2013

Forecasting Innovation Pathways For New And Emerging Science & Technologies, Douglas Kr Robinson, Lu Huang, Ying Guo, Alan L. Porter

alan l porter

New & Emerging Science & Technologies (“NESTs”) promise tremendous innovation potential, but this is coupled with enormous uncertainties and often many unknowns. This paper offers a framework to analyze NESTs to help ascertain likely innovation pathways. We have devised a 10-step framework based on extensive Future-oriented Technology Analyses (“FTA”) experience, enriched by in-depth case analyses. In the paper, we describe our analytical activities in two case studies. The nanobiosensors experience is contrasted with that of deep brain stimulation in relative quantitative and qualitative emphases. We close the paper by reflecting on this systematic FTA framework for emerging science and technologies, …


Innovation Risk Path Assessing For A Newly Emerging Science & Technology: Illustrated For Dye-Sensitized Solar Cells, Tingting Ma, Ying Guo, Alan L. Porter Jan 2012

Innovation Risk Path Assessing For A Newly Emerging Science & Technology: Illustrated For Dye-Sensitized Solar Cells, Tingting Ma, Ying Guo, Alan L. Porter

alan l porter

For “Newly Emerging Science & Technologies” (“NESTs”), uncertainty is the major challenge. Technological innovation for NESTs faces many kinds of risks that dramatically affect their development paths. This paper combines methods of risk utility theory and technology path research and explores a new innovation risk path modeling method for NEST development. Here we apply selected tools from risk utility theory and technology path research to the NEST of special concern—Dye-Sensitized Solar Cells (DSSCs). The case for DSSC commercialization is promising, but challengeable. The prospects for future development of DSSCs are good, with identifiable markets. Multi-party collaboration appears necessary in order …


Empirically Informing A Technology Delivery System Model For An Emerging Technology: Illustrated For Dye-Sensitized Solar Cells, Ying Guo, Chen Xu, Lu Huang, Alan L. Porter Jan 2012

Empirically Informing A Technology Delivery System Model For An Emerging Technology: Illustrated For Dye-Sensitized Solar Cells, Ying Guo, Chen Xu, Lu Huang, Alan L. Porter

alan l porter

This paper explores how to extract empirical knowledge from R&D, patent, and business literature compilations to help compose an innovation system model. It adapts the key elements and dynamics of “technology delivery system” modeling to a given Newly Emerging Science & Technology. We present a 10-step analytical approach to help characterize the technology, gauge its state of development, and depict the socio-technical system institutions and actors. We apply this to the case of Dye-Sensitized Solar Cells (“DSSCs”). A new “cross-charting” method appears effective at associating novel technology-enabled capabilities to gain functional advantages, and to link those functions to potential applications. …


Characterizing A Technology Development At The Stage Of Early Emerging Applications: Nanomaterial-Enhanced Biosensors, Lu Huang, Ying Guo, Zhengchun Peng, Alan L. Porter Jan 2011

Characterizing A Technology Development At The Stage Of Early Emerging Applications: Nanomaterial-Enhanced Biosensors, Lu Huang, Ying Guo, Zhengchun Peng, Alan L. Porter

alan l porter

We devise Future-oriented Technology Analyses tools to investigate a technology at an interesting development stage of early emerging applications. At this stage, technologies show great potential with little established commercialization. Future development pathways are highly uncertain and heavily dependent on contextual interactions. We apply R&D profiling, R&D-to-Applications cross-charting, and Technology Delivery System modelling to help understand the phenomena that bear upon development prospects. We develop our approach through a two-tier case study: general treatment of nanomaterial-enhanced biosensors, followed by more specialized treatment of one subset of those. Results convey the importance of considering technological and social context factors together to …