Convergence indicator: The case of cloud computing

Journal of Supercomputing

Volumn 65, Issue 1, 2013, Pages 27-37

  Sung, Kihoon ^a   Kong, Hee Kyung ^b   Kim, Taehan ^b  

^a University of Science and Technology (UST)   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Cloud computing; Convergence indicator; Patent citation analysis; Technological convergence

Indexed keywords

EMPIRICAL ANALYSIS; PATENT CITATION; PATENT-CITATION ANALYSIS; TECHNOLOGICAL CONVERGENCE; TECHNOLOGICAL INNOVATION;

INFORMATION ANALYSIS; PATENTS AND INVENTIONS; UBIQUITOUS COMPUTING;

CLOUD COMPUTING;

EID: 84878826327     PISSN: 09208542     EISSN: 15730484     Source Type: Journal    
DOI: 10.1007/s11227-011-0706-1     Document Type: Conference Paper

References (21)

1. Rosenberg N (1963) Technological changes in the machine tool industry, 1840-1910. J Econ Hist 23(4):414-446
2. Roco MC, Bainbridge WS (eds) (2002) Converging technologies for improving human performance, nanotechnology, biotechnology, information technology and cognitive science. National Science Foundation, Arlington
3. Nordmann A (2004) Converging technologies - shaping the future of European society. European Commission, Brussels
4. Hwang JT, Kim BK (2006) Analysis of the multi-technology capabilities of Korea and Taiwan using patent bibliometrics. Asian J Technol Innov 14(2):183-199
5. Curran CS, Leker J (2010) Patent indicators for monitoring convergence - examples from NFF and ICT. Technol Forecast Soc Change 78(2):256-273. doi: 10.1016/j.techfore.2010.06.021
6. Lee KR (2007) Patterns and processes of contemporary technology fusion: the case of intelligent robots. Asian J Technol Innov 15(2):45-65
7. No HJ, Park YT (2010) Trajectory patterns of technology fusion: trend analysis and taxonomical grouping in nanobiotechnology. Technol Forecast Soc Change 77(1):63-75. doi: 10.1016/j.techfore.2009.06.006
8. Yoon B, Park Y (2007) Development of a new technology forecasting algorithm - hybrid approach for morphology analysis and conjoint analysis of patent information. IEEE Trans Eng Manag 54(3):588-599
9. Lind J (2004) Convergence: History of term usage and lessons for firm strategists. In: Proc ITS 15th biennial conf, Berlin, Germany
10. Kodama F (1991) Analyzing Japanese high technologies: the techno paradigm shift. Pinter, London
11. Wong PK, Singh A (2005) Technological specialization and convergence of small countries: the case of the late-industrializing Asian NIEs, Development and Comp Systems. EconWPA
12. Clarkson G, DeKorte D (2006) The problem of patent thickets in convergent technologies. Ann NY Acad Sci 1093:180-200
13. Wang L, Chen X (2007) Technology convergence in the electronic industry under the FDI environment in China. In: Proc IEEE int conf on wirel commun netw mobile comput (WiCom'07), pp 5831-5834. doi: 10.1109/WICOM.2007.1430
14. Archibugi D (1992) Patenting as an indicator of technological innovation: a review. Sci Public Policy 19(16):357-368
15. Albert MB, Avery D, Narin F (1991) Direct validation of citation counts as indicators of industrially important patents. Res Policy 20:251-259
16. Carpenter MP, Narin F, Woolf P (1981) Citation rates of technologically important patents. World Pat Inf 3(5):160-163
17. Jaffe AB, Trajtenberg M, Fogarty MS (2000) Knowledge spillovers and patent citations: evidence from a survey of inventors. Am Econ Rev 90(2):215-218
18. Bawa R (2004) Nanotechnology patenting in the US. Nanotechnol Law Bus 1:31-50
19. Ryu S, Lee K, Mun Y (2010) Optimized fast handover scheme in Mobile IPv6 networks to support mobile users for cloud computing. J Supercomput. doi: 10.1007/s11227-010-0459-2
20. Yoon C, Hassan MM, Lee H, Ryu W, Huh EN (2010) Dynamic collaborative cloud service platform: opportunities and challenges. ETRI J 32(4):634-637. doi: 10.4218/etrij.10.0209.0489
21. Wei G, Vasilakos A-V, Zheng Y, Xiong N (2010) A game-theoretic method of fair resource allocation for cloud computing services. J Supercomput 54(2):252-269. doi: 10.1007/s11227-009-0318-1