Abstract
Business ecosystem presents a new perspective for repositioning the research and development portfolio with external linkage. The rapid evolution of technology has changed the ways of our resources allocation and investment. Technological evolution provides forecasting capability for the potential dominant paradigm. However the analysis of the technological evolution often has to rely on a lot of manpower. This paper would like to provide a rapid visualization of the fierce R&D competition. Previous studies have focused on patent indicators and classification systems, ignoring the diversification and path in the technology development. Therefore, this study proposes a process to illustrate the visualization of optical storage. Finally, this study provides the visualization of technological convergence and diversification.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Breitzman, A., Thomas, P., Cheney, M.: Technological powerhouse or diluted competence: Techniques for assessing mergers via patent analysis. R&D Management 32(1), 1–10 (2002)
Chesbrough, H., Schwartz, K.: Innovating business models with co-development partnerships. Research Technology Management 50(1), 55–59 (2007)
Coombs, J.E., Bierly, P.E.: Measuring technological capability and performance. R&D Management 36(4), 421–438 (2006)
Iansiti, M., Levien, R.: Strategy as ecology. Harvard Business Review 82(9), 69–78 (2004)
Kostoff, R.N., Toothman, D.R., Eberhart, H.J., Humenik, J.A.: Text mining using database tomography and bibliometrics: A review. Technological Forecasting and Social Change 68(3), 223–253 (2001)
Li, Y.R.: The technological roadmap of Cisco’s business ecosystem. Technovation 29(5), 379–386 (2009)
Li, Y.R., Hong, C.F., Wang, L.O.: Extracting the significant rare keywords for patent analysis. Expert Systems with Applications 36(3), 5200–5204 (2009)
Lin, B.W., Chen, J.S.: Corporate technology portfolios and R&D performance measures: a study of technology intensive firms. R&D Management 35(2), 157–170 (2005)
Losiewicz, P., Oard, D.W., Kostoff, R.N.: Textual data mining to support science and technology management. Journal of Intelligent Information Systems 15(2), 99–119 (2000)
Moehrle, M.G., Walter, L., Geritz, A., Müller, S.: Patent-based inventor profiles as a basis for human resource decisions in research and development. R&D Management 35(5), 513–524 (2005)
Moore, J.F.: Predators and prey:a new ecology of competition. Harvard Business Review 71(3), 75–86 (1993)
Moore, J.F.: The death of competition: Leadership & strategy in the age of business ecosystems. Harper Business, New York (1996)
Moore, J.F.: Business ecosystems and the view from the firm. The Antitrust Bulletin 51(1), 31–75 (2006)
Yoon, B., Yoon, C., Park, Y.: On the development and application of a self–organizing feature map–based patent map. R&D Management 32(4), 291–300 (2002)
Yoon, B., Park, Y.: A text-mining-based patent network: Analytical tool for high-technology trend. Journal of High Technology Management Research 15(1), 37–50 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Li, YR. (2011). Visualization of the Technological Evolution of the DVD Business Ecosystem. In: Katarzyniak, R., Chiu, TF., Hong, CF., Nguyen, N.T. (eds) Semantic Methods for Knowledge Management and Communication. Studies in Computational Intelligence, vol 381. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23418-7_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-23418-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23417-0
Online ISBN: 978-3-642-23418-7
eBook Packages: EngineeringEngineering (R0)