Quantifying and Leading Innovation with TRIZ Within Competitiveness Strategies

  • Stelian BradEmail author
  • Emilia Brad


The most prominent tool for analyzing the competitive advantage of organizations or larger ecosystems is the Porter’s diamond. This paper investigates a systematic way to build up the Porter’s diamond model, including the relationships between the building blocks—which was not yet treated in the current published papers. The framework is based on SWOT analysis, as well as on relationship and correlation matrices to show the connections between Porter’s diamond blocks. With the methodology proposed in this paper new dimensions of the diamond are explicitly revealed. This creates a new space to identify conflicts and quantify critical issues within the strategy. TRIZ tackles the conflicts revealed by the links in the diamond and proposes generic directions to operationalize the strategy. The major finding of this research is that without a structured depiction and deployment of each diamond’s block with the other blocks, many areas that require innovations and innovative projects can be easily omitted, making the strategy weaker. Findings in the paper are sustained by qualitative conclusions extracted from methodology application on an IT economic cluster. Results show that the proposed methodology brings advantages in defining a comprehensive analysis of the competitive environment, as well as in linking analysis with innovation. With the methodology proposed in this paper, information from the Porter’s diamond can be used in a more effective way for building up a strategy for economic competitiveness.


  1. 1.
    Ilevbare IH, Probert D, Phaal R (2013) A review of TRIZ, and its benefits and challenges in practice. Technovation 33(2–3):30–37CrossRefGoogle Scholar
  2. 2.
    Porter ME (2013) On competition. Harvard Business Press, Boston 978-1-4221-2696-7Google Scholar
  3. 3.
    Porter ME (1990) New global strategies for competitive advantage. Strateg Leadersh 18(3):4–14Google Scholar
  4. 4.
    Arthurs D, Cassidy E, Davis C, Wolfe D (2009) Indicators to support innovation cluster policy. Int J Technol Manag 26(3–4):263–279CrossRefGoogle Scholar
  5. 5.
    Dayashindu N (2002) Embeddedness, knowledge transfer, industry clusters and global competitiveness: a case study of the Indian software industry. Technovation 22(9):551–560CrossRefGoogle Scholar
  6. 6.
    Deniz M, Seckin SN, Cureoglu M (2013) Micro-economic competitiveness: a research on manufacturing firms operating in TRB1 region. Procedia Soc Behav Sci 75:465–472CrossRefGoogle Scholar
  7. 7.
    Fu WZ, Kuang P (2009) Study on the Hefei high-tech industrial cluster based on the combination of diamond model and AHP. In: Proceedings of the 3rd international conference on management science and engineering management, Bangkok, November, pp. 226–232Google Scholar
  8. 8.
    Padmore T, Gibson H (1998) Modelling systems of innovation: a framework for industrial cluster analysis in regions. Res Policy 26(6):625–641CrossRefGoogle Scholar
  9. 9.
    Stejskal J, Hajek P (2012) Competitive advantage analysis: a novel method for industrial clusters identification. J Bus Econ Manag 13(2):344–365CrossRefGoogle Scholar
  10. 10.
    Helms MM, Nixon J (2010) Exploring SWOT analysis - where are we now? A review of academic research from the last decade. J Strategy Manag 3(3):215–251CrossRefGoogle Scholar
  11. 11.
    Cohen L (1995) Quality function deployment: how to make QFD work for you. Addison Wesley, Reading, MA 0-20-63330-2Google Scholar
  12. 12.
    Altshuller G (2007) The Innovation algorithm: TRIZ systematic innovation and technical creativity. Technical Innovation Center, Worcester, MA 0-9640740-4-4Google Scholar
  13. 13.
    Brad S (2010) Sigma-TRIZ: algorithm for systematic integration of innovation within six sigma process improvement methodologies. In: Quality management and six sigma. InTech Press, Rijekapp, pp 89–108Google Scholar
  14. 14.
    Chechurin L, Borgianni Y (2016) Understanding TRIZ through the review of top cited publications. Comput Ind 82:119–134CrossRefGoogle Scholar
  15. 15.
    Brad S (2012) TRIZ-M software tool for managerial issues. Available online at: =1&aActivityName=1
  16. 16.
    Mueller S (2005) The TRIZ resource analysis tool for solving management tasks: previous classifications and their modification. Creat Innov Manage 14(1):43–58CrossRefGoogle Scholar
  17. 17.
    Rutchi B, Livotov P (2001) TRIZ-based innovation principles and a process for problem solving in business and management. Proceedings of the European TRIZ Association, November 2001Google Scholar
  18. 18.
    Souchkov V (2014) Breakthrough thinking with TRIZ for business and management: an overview. ICG Training & Consulting.

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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Cluj IT ClusterCluj-NapocaRomania
  2. 2.Research Centre for Engineering and Management of Innovation (RESIN)Technical University of Cluj-NapocaCluj-NapocaRomania

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