Innovation: A data-driven approach

A newly introduced product or service becomes an innovation after it has been proven in the market. No one likes the fact that market failures of products and services are much more common than commercial successes. A data-driven approach to innovation is proposed. It is a natural extension of the system of customer requirements in terms of their number and type and the ways of collecting and processing them. The ideas introduced in this paper are applicable to the evaluation of the innovativeness of planned introductions of design changes and design of new products and services. In fact, blends of products and services could be the most promising way of bringing innovations to the market. The most important toll gates of innovation are the generation of new ideas and their evaluation. People have limited ability to generate and evaluate a large number of potential innovation alternatives. The proposed approach is intended to evaluate many alternatives from a market perspective.

[1]  W. Godwin Article in Press , 2000 .

[2]  Andrew Kusiak,et al.  A Formal Approach to Specifications in Conceptual Design , 1992 .

[3]  Erik J. de Vries,et al.  Innovation in services in networks of organizations and in the distribution of services , 2006 .

[4]  Raimar Richers The theory of economic development , 1961 .

[5]  Mark Setterfield,et al.  What is Endogenous Growth Theory , 2007 .

[6]  S. Nambisan,et al.  A buyer's guide to the innovation bazaar. , 2007, Harvard business review.

[7]  Nancy E. Grund Creative Destruction: A Six-Stage Process for Transforming the Organization , 1995 .

[8]  M. Page The creative destruction of Manhattan, 1900-1940 , 1999 .

[9]  Anthony W. Ulwick Turn customer input into innovation. , 2002, Harvard business review.

[10]  John Cullen,et al.  Democratizing Innovation , 2020, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

[11]  J. Henkel Selective revealing in open innovation processes: the case of embedded Linux (gekürzte Version) , 2006 .

[12]  Hector Guerrero,et al.  Design for control: A new perspective on process and product innovation , 2008 .

[13]  Andreas Pyka,et al.  Learning in innovation networks: Some simulation experiments , 2007 .

[14]  Jun Du,et al.  The innovation value chain , 2006 .

[15]  E. von Hippel,et al.  Sources of Innovation , 2016 .

[16]  Andrew Kusiak,et al.  Innovation: The Living Laboratory Perspective , 2007 .

[17]  Y. Benkler,et al.  The Wealth of Networks , 2008 .

[18]  Robert W. Veryzer The Roles of Marketing and Industrial Design in Discontinuous New Product Development , 2005 .

[19]  Clayton M. Christensen The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail , 2013 .

[20]  Fredrik Hacklin,et al.  Strategic venture partner selection for collaborative innovation in production systems: A decision support system-based approach , 2004 .

[21]  Andrew Kusiak,et al.  Innovation science: a primer , 2007, Int. J. Comput. Appl. Technol..

[22]  Kaj U. Koskinen,et al.  The role of tacit knowledge in innovation processes of small technology companies , 2002 .

[23]  A. Kusiak INNOVATION OF PRODUCTS AND SERVICES: BRIDGING WORLD’S ECONOMIES , 2007 .

[24]  Ilaria Giannoccaro,et al.  Innovation in industrial districts: An agent-based simulation model , 2006 .

[25]  Y. Chiffoleau,et al.  Learning about innovation through networks: the development of environment-friendly viticulture , 2004 .

[26]  E. Hippel,et al.  Lead users: a source of novel product concepts , 1986 .

[27]  Faïz Gallouj,et al.  Innovation in services , 1997 .

[28]  E. Hippel,et al.  FROM EXPERIENCE: Developing New Product Concepts Via the Lead User Method: A Case Study in a “Low-Tech” Field , 1992 .

[29]  William W. Wilmot,et al.  Innovation: The Five Disciplines for Creating What Customers Want , 2006 .