Abstract
This paper presents a new formal approach to the modelling of information reuse and integration for innovation. Not all information is useful for innovation, and many ideas do not become profitable. We believe that information resources should not only be available, but also should be capable and compatible with the required information/needs. Use of relevant tools for information management should improve the capacity for effective decision making for innovation. Use of data mining technologies for the extraction of potentially useful information may not always produce the required information. Hidden or previously unknown information may be found in datasets, but the required information for innovation may not be in the datasets. There is a need for the development of techniques to ensure that decision makers are provided with capable and compatible information. Profile Theory is used for the analysis and modelling of reuse and integration of available information.
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- 1.
It should, however, be pointed out that each profile factor may be described by an N-dimensional tuple [22].
- 2.
Distance is not always distance in the colloquial sense, for example cost, elapsed time, reliability, compatibility, capability, etc. can also be interpreted as a distance.
References
Altshuller, G.: The Innovation Algorithm. Technical Innovation Center, Inc., Worcester (1999)
Bijker, W.E.: Of Bicycles, Bakelites, and Bulbs: Toward a Theory of Sociotechnical Change. The MIT Press, Cambridge (1995)
Cuhls, K., Blind, K., Grupp, H.: Innovations for our future. Delphi ‘98: new foresight on science and technology. Technology, Innovation and Policy, Series of the Fraunhofer Institute for Systems and Innovation Research (ISI), vol. 13. Physica Heidelberg (2002)
Danish Enterprise and Construction Authority, New Nature of Innovation, Copenhagen (2009)
Davenport, T.H., Prusak, L.: Working Knowledge: How Organisations Manage What They Know. Harvard Business School Press, Boston (1998)
Davila, T., Epstein, M.J., Shelton, R.: Making Innovation Work: How to Manage It, Measure It, and Profit from It. Wharton School Publishing, Upper Saddle River (2006)
Day, M.Y., Ong, C.S., Hsu, W.L.: An analysis of research on information reuse and integration. In: Proceedings of IEEE International Conference on Information Reuse and Integration, IRI-2009, Las Vegas, USA, pp. 188–193 (2009)
Duffy, J.: The tools and technologies needed for knowledge management. Inf. Manag. J. 35(1), 64–67 (2001)
Edquist, C., Johnson, B.: Institutions and organizations in systems of innovation. In: Edquist, C. (ed.) Systems of Innovation: Technologies, Institutions and Organizations, pp. 41–63. Pinter Publishers, London (1997)
Foray, D., Lundvall, B.A.: The knowledge-based economy: from the economics of knowledge to the learning economy. In: Employment and Growth in the Knowledge-Based Economy, pp. 11–32. OECD, Paris (1996)
Freeman, C.: The national system of innovation in historical perspective. Camb. J. Econ. 19, 5–24 (1995)
Gardner, J.: Innovation and the Future Proof Bank: A Practical Guide to Doing Different Business-as-usual. Wiley, Chichester (2009)
General Electric: The GE Global Innovation Barometer 2011: An Overview on Messaging, Data and Amplification (2011)
Geschka, H.: Creativity techniques in Germany. J. Creativity Innov. Manag. 5(2), 87–92 (1996)
Kim, W.C., Mauborgne, R.: Value innovation: the strategic logic of high growth. Harvard Bus. Rev. 75(1), 103–112 (1997)
IBM: IBM’s Global Innovation Outlook 2.0, Innovation that Matters (2005)
Ijuri, Y., Kuhn, R.L.: New Directions in Creative and Innovative Management: Bridging Theory and Practice. Ballinger Publishing, Cambridge (1988)
Johnston, R., Rolf, B.: Knowledge moves to centre stage. Sci. Commun. 20(1), 99–105 (1998)
Lundvall, B.A. (ed.): National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning. Pinter Publishers, London (1992)
Narayanan, V.K.: Managing Technology and Innovation for Competitive Advantage. Prentice Hall, Englewood Cliffs (2001)
Osborn, A.: Your Creative Mind. Motorola University Press, New York (1991)
Plekhanova, V.: Capability and compatibility measurement in software process improvement. In: Proceedings of the 2nd European Software Measurement Conference, pp. 179–188. Federation of European Software Metrics, Amsterdam (1999)
Plekhanova, V.: Applications of the profile theory to software engineering and knowledge engineering. In: Proceedings of the Twelfth International Conference on Software Engineering and Knowledge Engineering, pp. 133–141. Knowledge Systems Institute, Chicago (2000)
Silverstein, D., Philip Samuel, P., DeCarlo, N.: The Innovator’s Toolkit: 50+ Techniques for Predictable and Sustainable Organic Growth. Wiley, Hoboken (2008)
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Plekhanova, V. (2018). A Capability and Compatibility Approach to Modelling of Information Reuse and Integration for Innovation. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_34
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