- Apply for Authority
- P-ISSN2287-1608
- E-ISSN2287-1616
- KCI
ISSN : 2287-1608
A Patent Analysis for the Strategic Landscape of Firms: Cancer Metabolism
Kang-hoe Kim (KISTI)
Ho-shin Lee (KISTI)
We Shim (KISTI)
- Downloaded
- Viewed
Abstract
Patent information as a proxy measure of technological capability has been utilized to establish technological strategies of firms. It is important to monitor what competitors’ plans for direction on research and development in the initial stage of new industry. Cancer metabolism has been considered as a beacon of hope for cancer research because it is anticipated that the research field will play a central role in developing effective cancer therapies. There is little attention given to understanding the status quo of organizational configurations. By utilizing network analysis, six sub-groups of cancer metabolism were categorized and the relationship between an individual field and participants were analyzed based on cluster and entire network-level. Although the largest drug and biotech companies tried to take an initiative across the whole fields, the differences in technological capabilities between them was discovered. This paper attempts to improve the validity of the suggested procedure and is significant in that it looks at the entire structure of cancer metabolism research from a strategic perspective for the first time.
- keywords
- Cancer metabolism, organizational configuration, technology strategy, network analysis, clustering analysis
Reference
Arthur, W.B. (2009), The Nature of Technology: What It Is and How It Evolves, New York: Free Press.
Cheong J.H. (2013), Strategy structuring of next generation cancer control based on analysis of cancer metabolism research trend and perspectives, Ministry of Health and Welfare, http://report.ndsl.kr/repDetail.do?cn=TRKO201400002863.
Choi, C.W., and Park, Y.T (2009), Monitoring the organic structure of technology based on the patent development paths, Technological Forecasting and Social Change, 76(6), 754-768.
Christensen, C.M., Carlile, P., and Sundahl, D. (2002), The Process of Theory Auilding, Harvard Business School, Cambridge, MA: Harvard University 17.
Clark, K.B. (1985), The interaction of design hierarchies and market concepts in technological evolution, Research Policy, 14(5), 235-251.
DeBerardinis, R.J., and Chandel, N.S. (2016), Fundamentals of cancer metabolism, Science Advances, 2(5), e1600200.
Ernst, Holger (2003), Patent information for strategic technology management, World Patent Information, 25(3), 233-242.
Ernst, Holger and Soll, J.H. (2003), An integrated portfolio approach to support market-oriented R&D planning, International Journal of Technology Management, 26(5-6), 540-560
Fiori, K.L., Antonucci, T.C., and Cortina, K.S. (2006), Social network typologies and mental health among older adults, Journals of Gerontology Series B: Psychological Sciences and Social Sciences 61(1), 25-32.
Hakansson, P., Kjellberg, H., and Lundgren, A. (1993), Strategic alliances in global biotechnology: a network approach, International Business Review, 2, 65-82.
Hanahan, D., and Weinberg, R.A. (2011), Hallmarks of cancer: the next generation, Cell, 144(5), 646-674.
Harrigan, K.R. (1985), An application of clustering for strategic group analysis, Strategic Management Journal, 6(1), 55-73.
Kajikawa, Y. (2007), Creating an academic landscape of sustainability science: an analysis of the citation network, Sustainability Science 2(2), 221-231.
Ketchen, D.J., and Shook, C.L. (1996), The application of cluster analysis in strategic management research: an analysis and critique, Strategic Management Journal, 17(6), 441-458.
Khanna, I. (2012), Drug discovery in pharmaceutical industry: productivity challenges and trends, Drug Discovery Today, 17(19), 1088-1102.
Kilduff, M., Tsai, M., and Hanke, R. (2006), A paradigm too far? a dynamic stability reconsideration of the social network research program, Academy of Management Review, 31, 1031-1048.
Kim, S.Y. (2015), Cancer metabolism: strategic diversion from targeting cancer drivers to targeting cancer suppliers, Biomolecules & Therapeutics, 23(2), 99-109.
Klepper, S. (1997), Industry life cycles, Industrial and Corporate Change, 6(1), 145-182.
Kogut, B., and Zander, U. (1992), Knowledge of the firm, combinative capabilities, and the replication of technology, Organization Science, 3(3), 383-397.
Lee, S., Yoon, B., Lee, C., and Park, J. (2009), Business planning based on technological capabilities: patent analysis for technology-driven roadmapping, Technological Forecasting and Social Change, 76(6), 769-786.
Liu, S.J., and Shyu, S.J. (1997), Strategic planning for technology development with patent analysis, International Journal of Technology Management, 13(5-6), 661680.
Lo Storto, C. (2006), A method based on patent analysis for the investigation of technological innovation strategies: the European medical prostheses industry, Technovation, 26(8), 932-942.
Miller, D., and Mintzberg, H. (1983), The Case for Configuration, in Morgan, G. (ed.), Beyond Method, Beverly Hills, CA: Sage, 57-73.
Nature.com (2016, November) Cancer Metabolism, Macmillan Publisher, Retrieved 2 5, http://www.nature.com/subjects/cancer-metabolism.
Phan, L.M., Yeung, S.C.J., and Lee, M.H. (2014), Cancer metabolic reprogramming: importance, main features, and potentials for precise targeted anti-cancer therapies, Cancer Biology and Medicine, 11(1), 1-19.
Provan, K.G., Fish, A., and Sydow, J. (2007), Interorganizational networks at the network level: a review of the empirical literature on whole networks, Journal of Management, 33, 479-516.
Schwab, M. (ed.) (2008), Encyclopedia of Cancer, Springer Science & Business Media.
Tichy, N.M., Tushman, M.L., and Fombrun, C. (1979), Social network analysis for organizations, Academy of Management Review, 4(4), 507-519.
Vermeersch, K.A., and Styczynski, M. P. (2013), Applications of metabolomics in cancer research, Journal of Carcinogenesis, 12(1), 9.
Vincent, D.B., Guillaume, J., Lambiotte, R., and Lefebvre, E. (2008), Fast unfolding of communities in large network, Journal of Statistical Mechanics, 10008.
Wallace, L., Keil, M., and Rai, A. (2004), How software project risk affects project performance: an investigation of the dimensions of risk and an exploratory model, Decision Sciences, 35(2), 289-321.
Wasserman, S., and Faust, K. (1994), Social Network Analysis: Methods and Applications, Cambridge, ENG and New York: Cambridge University Press.
Yang, Y., Akers, L., Klose, T., and Yang, C.B. (2008), Text mining and visualization tools-impressions of emerging capabilities, World Patent Information, 30(4), 280293.
Yoon, B., and Park, Y. (2004), A text-mining-based patent network: Analytical tool for high-technology trend, Journal of High Technology Management Research, 15(1), 37-50.
Winter, S.G., and Nelson, R.R. (1982), An Evolutionary Theory of Economic Change, University of Illinois at Urbana-Champaign.
- Downloaded
- Viewed
- 0KCI Citations
- 0WOS Citations