바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Use of Patent Analysis for the Future Skills-needs in Information Security

Asian Journal of Innovation and Policy / Asian Journal of Innovation and Policy, (P)2287-1608; (E)2287-1616
2015, v.4 no.3, pp.307-327
Gyu-heeHwang (KISTI)
Ga-woon Ban
In-Joong Ju
Kack-Hee Lee
  • Downloaded
  • Viewed

Abstract

This study attempts to develop a methodology that analyzes patent applications to identify future skills, in particular in the sector of information security, recently into the spotlight. Matching skill elements from the International Patent Classification (IPC) with skill units from job analysis, the study tries to track trends in the skills needs based on IPC time-pattern. It then verifies the validity of the outlook for future skills needs by addressing the situation through the use of patents. The research assesses the usability of patent information for this type of analysis. While this study is limited to the information security sector by using Korean patent information, it can be expanded in the future to other areas and patents in the United States and Europe.

keywords
Patent analysis, technology forecasting, future skills needs, information security

Reference

1.

An, X.Y. and Wu, Q.Q. (2011) Co-word analysis of the trends in stem cells field based on subject heading weighting, Scientometrics, 88, 133-144.

2.

Balconi, M. et al. (2007) The ‘codification debate’ revisited: a conceptual framework to analyze the role of tacit knowledge in economics, Industrial and Corporate Change, 16(5), 823-849.

3.

Cagnin, C., Havas, A. and Saritas, O. (2013) Future-oriented technology analysis: its potential to address disruptive transformations, Technological Forecasting & Social Change, 80, 379-385.

4.

CEDEFOP (2012) Skills Supply and Demand in Europe-Methodological Framework, Luxembourg: Publications Office of the European Union.

5.

Cong, H. and Tong, L-H. (2010) Pattern-oriented associative rule-based patent classification, Expert Systems with Applications, 37(3), 2395-2404.

6.

Cowan, R. et al. (2000) The Explicit Economics of Knowledge Codification and Tacitness, England: Oxford University Press.

7.

Daim, T. (2006) Forecasting emerging technologies: use of bibliometrics and patent analysis, Technological Forecasting and Social Change, 73(8), 981-1012.

8.

Gibbons, M. et al. (1994) The New Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies, London: SAGE.

9.

Haegeman, K., Marinelli, E., Scapolo, F., Ricci, A. and Sokolov, A. (2013) Quantitative and qualitative approaches in Future-oriented Technology Analysis (FTA): from combination to integration? Technological Forecasting and Social Change, 80(3), 386-397.

10.

Hwang, G. and Lee, J. (2010) Technological innovation & future skills - with focus on green car growth, Journal of Korea Technology Innovation Society, 13(3), 399-422. (in Korean)

11.

Hwang, G., Coh, B. and Lee, J. (2011) Utilizing patent analysis in future skills need analysis - with focus on green technology of steel industry, Vocational Ability Development Study, 14(3), 79-104, (in Korean).

12.

Hwang, G., Joo, I. and Coh, B. (2011) Future Skills Need Analysis by Patent Analysis - With Focus on Automobile Battery as Industry Convergence, KRIVET (in Korean).

13.

Lowery, D. et al. (2008) Future Skill Needs - Projections and Employers’ Views, NCVER.

14.

Ministry of Knowledge Economy (2011) IT Information Technology Competitiveness Analysis. (in Korean)

15.

Nowotny, H., Scott, P. and Gibbons, M. (2003) `Mode 2' revisited: the new production of knowledge, Minerva, 41(3), 179-194.

16.

Porter, A.L. et al. (2004) Technology futures analysis: toward integration of the field and new methods, Technological Forecasting & Social Change, 71, 287-303.

17.

Saviotti, P.P. (2004) Considerations about the production and utilization of knowledge, Journal of Institutional and Theoretical Economics, 160, 100-121.

18.

Saviotti, P.P. (2007) On the dynamics of generation and utilization of knowledge: the local character of knowledge, Structural Change and Economic Dynamics, 18, 387-408.

19.

Saviotti, P.P. (2009) Knowledge networks: structure and dynamics, in Andreas Pyka et al. (eds.) Innovation Networks: New Approaches in Modeling and Analyzing, Springer, 19-41.

20.

Schmidt, S.L. et al. (eds.) (2004) Identifying Skill Needs for the Future: From Research to Policy and Practice, Office for Official Publications of the European Communities.

21.

Simpson, H.K. et al. (2006) Development and Application of Skill Standards for Security Practitioners, USA: Defense Personal Security Research Center.

22.

Tseng, Y-H., Lin, C-J. and Lin, Y-I. (2007) Text mining techniques for patent analysis, Information Processing and Management 43, 1216-1247.

23.

Yoo, H. and Kim, T. (2009) Considering information security professionals’ career to analyze knowledge and skills requirement, Journal of Korea Institute of Information Security and Cryptology, 19(4), 77-89. (in Korean)

24.

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, 37-50.

Asian Journal of Innovation and Policy