The Experts below are selected from a list of 19122 Experts worldwide ranked by ideXlab platform
Volker Hessel - One of the best experts on this subject based on the ideXlab platform.
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multistep solvent free 3 m2 footprint pilot miniplant for the synthesis of annual half ton rufinamide precursor
ACS Sustainable Chemistry & Engineering, 2019Co-Authors: Marc Escribagelonch, Gerardo Antonio De Leon Izeppi, Dirk Kirschneck, Volker HesselAbstract:The development of a pilot-scale synthesis of the rufinamide precursor in flow chemistry is reported. Complex steps such as Taylor-flow, segmented flow, and high-temperature processing at high pressure (high-p,T) are successfully combined, overcoming the mixing and heat transfer issues of the scale-up. The cascaded multistep process operates essentially solvent-free in just 3 m2 giving a productivity of 47 g/h (>400 kg/year), which increases by a factor of 7 the lab-scale productivity previously reported as a scale-up proof-of-concept. This publication also includes an economic study of the feasible implementation of this Technology for a possible manufacturer, as well as an outline on business development strategies of how to implement such a Disruptive Technology.
Marc Escribagelonch - One of the best experts on this subject based on the ideXlab platform.
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multistep solvent free 3 m2 footprint pilot miniplant for the synthesis of annual half ton rufinamide precursor
ACS Sustainable Chemistry & Engineering, 2019Co-Authors: Marc Escribagelonch, Gerardo Antonio De Leon Izeppi, Dirk Kirschneck, Volker HesselAbstract:The development of a pilot-scale synthesis of the rufinamide precursor in flow chemistry is reported. Complex steps such as Taylor-flow, segmented flow, and high-temperature processing at high pressure (high-p,T) are successfully combined, overcoming the mixing and heat transfer issues of the scale-up. The cascaded multistep process operates essentially solvent-free in just 3 m2 giving a productivity of 47 g/h (>400 kg/year), which increases by a factor of 7 the lab-scale productivity previously reported as a scale-up proof-of-concept. This publication also includes an economic study of the feasible implementation of this Technology for a possible manufacturer, as well as an outline on business development strategies of how to implement such a Disruptive Technology.
David H Hsu - One of the best experts on this subject based on the ideXlab platform.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
Management Science, 2014Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When start-up innovation involves a potentially Disruptive Technology—initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement—incumbents may be wary of engaging in cooperative commercialization with the start-up. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952 to 2010 confirms our main hypothesis. This paper was accepted by Bruno Cassiman, business strategy.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
Social Science Research Network, 2014Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When startup innovation involves a potentially Disruptive Technology – initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement – incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms our main hypothesis.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
National Bureau of Economic Research, 2013Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When startup innovation involves a potentially Disruptive Technology - initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement - incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms the main prediction of the model.
Joshua S Gans - One of the best experts on this subject based on the ideXlab platform.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
Management Science, 2014Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When start-up innovation involves a potentially Disruptive Technology—initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement—incumbents may be wary of engaging in cooperative commercialization with the start-up. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952 to 2010 confirms our main hypothesis. This paper was accepted by Bruno Cassiman, business strategy.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
Social Science Research Network, 2014Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When startup innovation involves a potentially Disruptive Technology – initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement – incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms our main hypothesis.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
National Bureau of Economic Research, 2013Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When startup innovation involves a potentially Disruptive Technology - initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement - incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms the main prediction of the model.
Matt Marx - One of the best experts on this subject based on the ideXlab platform.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
Management Science, 2014Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When start-up innovation involves a potentially Disruptive Technology—initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement—incumbents may be wary of engaging in cooperative commercialization with the start-up. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952 to 2010 confirms our main hypothesis. This paper was accepted by Bruno Cassiman, business strategy.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
Social Science Research Network, 2014Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When startup innovation involves a potentially Disruptive Technology – initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement – incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms our main hypothesis.
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dynamic commercialization strategies for Disruptive technologies evidence from the speech recognition industry
National Bureau of Economic Research, 2013Co-Authors: Matt Marx, Joshua S Gans, David H HsuAbstract:When startup innovation involves a potentially Disruptive Technology - initially lagging in the predominant performance metric, but with a potentially favorable trajectory of improvement - incumbents may be wary of engaging in cooperative commercialization with the startup. While the prevailing theory of Disruptive innovation suggests that this will lead to (exclusively) competitive commercialization and the eventual replacement of incumbents, we consider a dynamic strategy involving product market entry before switching to a cooperative commercialization strategy. Empirical evidence from the automated speech recognition industry from 1952-2010 confirms the main prediction of the model.
