Improving concept development with data exploration in the context of an innovation and technological design course

Innovation is about continuously pursuing better, more efficient solutions, and organizations allocate vast resources to achieve this goal. One challenge is the access to and exploitation of information, as teams attempt to harness existing knowledge to design solutions efficiently. This article is concerned with two of the earliest stages of the concept development process, information gathering and idea generation. Information gathering and idea generation can be enhanced to find hints for more innovative or diverse concepts for engineering solutions by the use of data mining tools and techniques to exploit patent data. A case is presented where teams of engineering students, in the context of a higher education course for innovation and technological design, explore data from domain specific patents to develop innovative solutions. The findings indicate that the use of data can be advantageous for team creativity, as it helps identify potential solution elements, materials and current technologies.

[1]  J. Howkins The Creative Economy: How People Make Money from Ideas , 2013 .

[2]  Andrew Wodehouse,et al.  Augmenting the 6-3-5 method with design information , 2011, Research in Engineering Design.

[3]  K. Siau Knowledge Discovery as an Aid to Organizational Creativity , 2000 .

[4]  A. Kazakçi,et al.  The Impact of Type of Examples on Originality: Explaining Fixation and Stimulation Effects. , 2014 .

[5]  Amy J. C. Trappey,et al.  Automatic patent document summarization for collaborative knowledge systems and services , 2009 .

[6]  Igor Jurisica,et al.  Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions , 2014, Interactive Knowledge Discovery and Data Mining in Biomedical Informatics.

[7]  R. Ackoff From Data to Wisdom , 2014 .

[8]  Mickaël Gardoni,et al.  Strategy-making for innovation management and the development of corporate universities , 2016 .

[9]  M. Dodgson,et al.  The Role of Technology in the Shift Towards Open Innovation: The Case of Procter & Gamble , 2006 .

[10]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[11]  Oscar Ardaiz-Villanueva,et al.  Evaluation of computer tools for idea generation and team formation in project-based learning , 2011, Comput. Educ..

[12]  Elias G. Carayannis,et al.  Big Data, Tacit Knowledge and Organizational Competitiveness , 2013 .

[13]  Lee Fleming,et al.  Exploring the Tail of Creativity: An Evolutionary Model of Breakthrough Invention , 2006 .

[14]  Joost R. Duflou,et al.  Identifying candidates for design-by-analogy , 2011, Computers in industry (Print).

[15]  Ricardo Mejía-Gutiérrez,et al.  Patent-based creativity method for early design stages: case study in locking systems for medical applications , 2017 .

[16]  Tobias Kötter,et al.  Towards Creative Information Exploration Based on Koestler's Concept of Bisociation , 2012, Bisociative Knowledge Discovery.

[17]  Bart Baesens,et al.  Analytics in a Big Data World: The Essential Guide to Data Science and its Applications , 2014 .

[18]  Daniel A. McAdams,et al.  Distributed ideation: idea generation in distributed capstone engineering design teams , 2011 .