The Experts below are selected from a list of 32703 Experts worldwide ranked by ideXlab platform
Riitta Katila - One of the best experts on this subject based on the ideXlab platform.
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the complex search Process of Invention
Research Policy, 2013Co-Authors: Patrick G Maggitti, Ken G Smith, Riitta KatilaAbstract:Abstract We inductively develop a Process model of individual search in the context of technological Invention, an important aspect of economic development that is also fundamental to the success of many organizations. Using an extensive archival content analysis of notable inventors we find that the search and discovery Process of Invention is inherently complex, non-linear, and disjointed. Successful inventors are skilled at managing these complex systems, receptive to feedback, and able to revisit and change course. Our search model includes a stimulus, net casting for information, categorizing that information, linking unrelated ideas, and discovery. Our findings articulate the search Process as a complex progression through a series of simple stages. As such, the study contributes to our understanding of complexity and the complex systems view of the Invention Process.
Kristin L. Wood - One of the best experts on this subject based on the ideXlab platform.
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The growing complexity in Invention Process
Research in Engineering Design, 2017Co-Authors: Jianxi Luo, Kristin L. WoodAbstract:Technological and design Process complexities may pose challenges to engineering design and related outcomes through Invention. Understanding the trends related to the complexity of Inventions and Invention Processes is crucial for informing engineering design research and education for Invention, but has not been formally developed in the design literature. Herein, we utilize a set of patent-based metrics, drawn from complex systems research and engineering design research, to detect various aspects of the complexity in Invention Processes. By an analysis of U.S. patents from 1975 to 2011, our results suggest that technology Inventions have been increasingly (1) requiring larger teams and more distant collaboration, (2) integrating a growing base of prior technologies, and (3) delivering more systemic and integrative new technologies. These trends may positively reinforce each other so as to contribute to a continual growth of the complexity in Invention Processes. Individual productivity for Invention is also in decline, as we measured from the patent data. These findings suggest the increasing importance of research, education and application of complex system analysis methods and tools to control and manage the complexity in Invention Processes.
Patrick G Maggitti - One of the best experts on this subject based on the ideXlab platform.
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the complex search Process of Invention
Research Policy, 2013Co-Authors: Patrick G Maggitti, Ken G Smith, Riitta KatilaAbstract:Abstract We inductively develop a Process model of individual search in the context of technological Invention, an important aspect of economic development that is also fundamental to the success of many organizations. Using an extensive archival content analysis of notable inventors we find that the search and discovery Process of Invention is inherently complex, non-linear, and disjointed. Successful inventors are skilled at managing these complex systems, receptive to feedback, and able to revisit and change course. Our search model includes a stimulus, net casting for information, categorizing that information, linking unrelated ideas, and discovery. Our findings articulate the search Process as a complex progression through a series of simple stages. As such, the study contributes to our understanding of complexity and the complex systems view of the Invention Process.
Peter Santa L Maria - One of the best experts on this subject based on the ideXlab platform.
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biomedical device innovation methodology applications in biophotonics
Journal of Biomedical Optics, 2017Co-Authors: Daniel M Beswick, Arjun Kaushik, Dylan Beinart, Sarah Mcgarry, Ming Khoon Yew, Brendan F Kennedy, Peter Santa L MariaAbstract:The Process of medical device innovation involves an iterative method that focuses on designing innovative, device-oriented solutions that address unmet clinical needs. This Process has been applied to the field of biophotonics with many notable successes. Device innovation begins with identifying an unmet clinical need and evaluating this need through a variety of lenses, including currently existing solutions for the need, stakeholders who are interested in the need, and the market that will support an innovative solution. Only once the clinical need is understood in detail can the Invention Process begin. The ideation phase often involves multiple levels of brainstorming and prototyping with the aim of addressing technical and clinical questions early and in a cost-efficient manner. Once potential solutions are found, they are tested against a number of known translational factors, including intellectual property, regulatory, and reimbursement landscapes. Only when the solution matches the clinical need, the next phase of building a "to market" strategy should begin. Most aspects of the innovation Process can be conducted relatively quickly and without significant capital expense. This white paper focuses on key points of the medical device innovation method and how the field of biophotonics has been applied within this framework to generate clinical and commercial success.
Jianxi Luo - One of the best experts on this subject based on the ideXlab platform.
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The growing complexity in Invention Process
Research in Engineering Design, 2017Co-Authors: Jianxi Luo, Kristin L. WoodAbstract:Technological and design Process complexities may pose challenges to engineering design and related outcomes through Invention. Understanding the trends related to the complexity of Inventions and Invention Processes is crucial for informing engineering design research and education for Invention, but has not been formally developed in the design literature. Herein, we utilize a set of patent-based metrics, drawn from complex systems research and engineering design research, to detect various aspects of the complexity in Invention Processes. By an analysis of U.S. patents from 1975 to 2011, our results suggest that technology Inventions have been increasingly (1) requiring larger teams and more distant collaboration, (2) integrating a growing base of prior technologies, and (3) delivering more systemic and integrative new technologies. These trends may positively reinforce each other so as to contribute to a continual growth of the complexity in Invention Processes. Individual productivity for Invention is also in decline, as we measured from the patent data. These findings suggest the increasing importance of research, education and application of complex system analysis methods and tools to control and manage the complexity in Invention Processes.
