A Hybrid Approach for Critical Technology Identification

Abstract:

There have been attempts to indentify critical technology from many alternative technologies. Accordingly, we can form an R&D policy effectively if we can forecast central technologies. Multi-criteria decision-making method and Centrality Analysis have been applied to the problem. However, these two approaches have some limitations. This study proposes a hybrid approach to identify critical technologies in a technology network which take full advantage of experts’ experience in technology field and relationship between technologies at the same time. Fuzzy comprehensive evaluation and Centrality Analysis of node are used in the approach. A case study on hypothetical critical technology identification problem is used to illustrate the proposed approach.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 2438-2443
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.2438
• Online since: July 2014
• Authors: Cheng Yang Li*, Jiang Jiang, Men Jun Li
• Keywords: Centrality Analysis, Critical Technology, Fuzzy Comprehensive Evaluation, Hybrid Approach

References

[1] Chulhyun Kim, Hyeonju Seol: The 9th International Conference on Electronic Business(Macau, November 30 - December 4, 2009). p.689.

[2] Hakyeon Lee, Chulhyun Kim, Hyunmyung Cho, Yongtae Park: Expert Systems with Applications, Vol. 36 (2009) No. 1, p.894.

[3] M. Lamb, M.J. Gregory: International Conference on Management of Engineering and Technology (Portland, Ore, 1997). p.206.

[4] Y.G. Lee, Y.I. Song: Technovation, Vol. 27 (2007) No. 1, p.57.

[5] Information on http: /www. foresight-platform. eu.

[6] Information on http: /www. unido. org.

[7] Yu-Lung Hsu, Cheng-Haw Lee, V.B. Kreng: Expert Systems with Applications, Vol. 37 (2010), p.419.

[8] Information on http: /www. whitehouse. gov.

[9] Daniel. R. Georidiadis, Thomas A. Mazzuchi, Shahram Sarkanil: System Engineering, Vol. 16 (2013), p.287.

[10] Zhigang Jiang, Hua Zhang, John W. Sutherland: Journal of Cleaner Production, Vol. 19 (2011), p. (1939).

[11] Sunghae Jun: International Conferences, ASEA and DRBC(Jeju island, Korea, November/December , 2012). Vol. 1, p.1.

[12] Sunghae Jun: International Conferences, ASEA and DRBC(Jeju island, Korea, November/December , 2012). Vol. 1, p.28.

[13] Juneseuk Shin, Yongtae Park: Information Economics and Policy, Vol. 19 (2007) No. 2, p.249.

[14] Gediminas Adomavicius, Jesse C. Bockstedt, Alok Gupta, Robert J. Kauffman: Inf Technol Manage , Vol. 8 (2007), p.185.

[15] Tugrul U. Daim, Guillermo Rueda, Hilary Martin, Pisek Gerdsir: Technology Forecasting, Vol. 73 (2006) No. 8, p.981.

[16] Information on http: /link. springer. com.

[17] Yoon, B., & Park, Y: Journal of High Technology, Vol. 15 (2003) No. 1, p.37.

[18] Linton C. Freeman: Social Networks, Vol. 1(1978), p.215.

[19] Chunyan Shao: International Business Research, Vol. 2(2009) No. 1, p.210.

[20] L. Ma, Y. Liu, X. P. Zhou: International Journal of Engineering, Science and Technology, Vol. 2 (2010) No. 7, p.123.

[21] Andrea Landherr, Bettina Friedl, Julia Heidemann: Business & Information Systems Engineering, Vol. 2 (2010) No. 6, p.371.

[22] Information on http: /www. researchgate. net.

[23] Information on http: /faculty. ucr. edu.