论文信息 - METHOD FOR FORECASTING DI BASED ON TRIZ TECHNOLOGY SYSTEM EVOLUTION THEORY

METHOD FOR FORECASTING DI BASED ON TRIZ TECHNOLOGY SYSTEM EVOLUTION THEORY

Disruptive Innovation (DI) is an effective method for a new firm to enter mature market. According to the composing analysis of the technical system for the product, six kinds of typical state in the technical system process can be detected. In accordance with technology system evolution analysis, two kinds of evolutionary technologies — mainstream evolutionary technologies and laggard evolutionary technologies — can be detected. Then, the conditions for forecasting DI technologies are established. Based on evolution path lines of TRIZ, the potential DI can be forecasted. As a case study, the video game console system is investigated. The study shows that the adoption of TRIZ evolution theory in forecasting disruptive technologies of product is feasible.

Runhua Tan | Jianguang Sun | R. Tan | Jianguang Sun

[1] Clayton M. Christensen. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail , 2013 .

[2] C.C. Hang,et al. Disruptive innovations and the greying market , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[3] Roger D. Smith,et al. The Disruptive Potential of Game Technologies , 2007 .

[4] Victor Fey,et al. Innovation on Demand: Frontmatter , 2005 .

[5] V. Govindarajan,et al. The Usefulness of Measuring Disruptiveness of Innovations Ex Post in Making Ex Ante Predictions* , 2006 .

[6] Victor Fey,et al. Innovation on Demand by Victor Fey , 2005 .

[7] George S. Day,et al. Wharton on Managing Emerging Technologies , 2000 .

[8] Clayton M. Christensen,et al. CUSTOMER POWER, STRATEGIC INVESTMENT, AND THE FAILURE OF LEADING FIRMS , 1996 .

[9] Victor Fey,et al. Innovation on demand , 2005 .

[10] Erwin Danneels. Disruptive Technology Reconsidered: A Critique and Research Agenda , 2004 .

[11] George Wright,et al. The Delphi technique as a forecasting tool: issues and analysis , 1999 .

[12] Stefan Kohn,et al. Development of an empirical-based categorisation scheme for CAI software , 2007, Int. J. Comput. Appl. Technol..

[13] Clayton M. Christensen,et al. Meeting the Challenge of Disruptive Change , 2000 .

[14] Steven T. Walsh,et al. Roadmapping a disruptive technology: A case study: The emerging microsystems and top-down nanosystems industry , 2004 .