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Cognitive Approach to the Analysis and Choice of Innovation Strategies of the Enterprises

Received: 27 December 2013     Published: 30 January 2014
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Abstract

The article considers the problem of the analysis and choice of innovation strategies of the small and medium-sized enterprises in modern complicated unstable economic conditions. Difficulties of solving this problem at the early conceptual design stage interfaced to high uncertainty and risk are marked. For the problem decision are offered the cognitive technologies of support which are today the most effective and perspective tools for analysis and management of ill-structured problematic situations and, in particular, problematic situations of choice of enterprise innovation strategies. The proposed technology allows building a unified multi-disciplinary platform that integrates instrumental potentials all known business-concepts of innovation management. "Inference mechanism", developed as a part of this technology allows investigating the long-term dynamics of innovation strategies in the context of changing business environment and strategy targets of stakeholders. The aim of the article is to demonstrate the applied capacity of cognitive technologies, specifics of their building and the prospects of their use in the real conditions of innovation business.

Published in Journal of Investment and Management (Volume 3, Issue 1)
DOI 10.11648/j.jim.20140301.11
Page(s) 1-6
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Small and Medium-Sized Enterprise, Innovation Strategies, Analysis and Choice, Cognitive Approach

References
[1] H. Simon, A. Newell. "Heuristic problem solving: the next advance in operational research", Operations Research. Vol. 6, Jan. 1958. pp. 3 – 10.
[2] S. Barbara, C. Garavelli, and K. Crowston. "Methods for modeling and supporting innovation processes in SMEs", European Journal of Innovation Management, Vol. 8 No. 1, 2005. pp. 120-137.
[3] G. Marakas. Decision Support Systems in the twenty-first century. Upper Saddle River, New Jersey: Prentice Hall, 1999.
[4] Schellinck J., Webster R. "Cognitive models: Understanding their critical role as explanatory and predictive hypothesis generators in cognition research", IEEE Proc. of the Intern. Conf. on Cognitive Modeling ICCM*2013. Canada, Ottawa, 2013.
[5] IEEE Proc. of the Intern. Conf. on Cognitive Modeling (ICCM) Series ICCM 2013: Ottawa, Canada (proceedings) ICCM 2012: Berlin, Germany (proceedings) ICCM 2010: Philadelphia, USA (proceedings) CCM 2009: Manchester, UK (proceedings) CCM 2007: Ann Arbor, USA (proceedings) ICCM 2006: Trieste, Italy (proceedings) ICCM 2004: Pittsburgh, USA (proceedings) ICCM 2003: Bamberg, Germany (proceedings) ICCM 2001: Fairfax, USA (proceedings) ICCM 2000: Groningen, Netherlands (proceedings) ECCM 98: Nottingham, UK (proceedings) EuroCog 1996: Berlin, Germany (proceedings)
[6] Russell, R.D. "Developing a process model of entrepreneurial systems: a cognitive mapping approach", Entrepreneurship Theory and Practice, 1999. Vol. 23 No. 3, pp. 65-85.
[7] J. Swan. "Exploring knowledge and cognitions in decisions about technological innovation: mapping managerial cognitions". Human Relations. 1995. Vol. 48 No. 11, pp. 1241-70.
[8] J. Jones. Design Methods. London: Architecture Design and Technology Press. 1991.
[9] F. Roberts. Discrete Mathematical Models with Application to Social, Biological and Environmental Problems. New Jersey: Prentice-Hall, Inc.1976.
[10] R. Karayev et al. "Forming of corporate enterprise policies by means of fuzzy cognitive maps", Trans. of the Nat. Acad. of Sci. of Azerbaijan. Series of phys.-math. and techn. sciences. V. XXIII, No 2, 2004 (in Russian).
[11] R. Karayev et al. "Models of scenario analysis", Trans. of the Nat. Acad. of Sci. of Azerbaijan. Series of phys.-math. and techn. sciences. V. XXIII, No 3, 2004 (in Russian).
[12] D. Pospelov. Situational Management: Theory and Practice. Мoscow: Nauka, 1986. (in Russian).
[13] D. Waterman. Guide to Expert Systems. Addison-Wesley Publ. Co., Inc. 1986.
[14] B. Balston, B., and I. Wilson. The Scenario Planning Handbook: Development strategies in uncertain times. Harlow, Pearson. 2006.
[15] M. Lindgren, and H. Bandhold. Scenario planning. The Link Between Future and Strategy. New York: Palgrave MacMillan. 2009, 204 p.
[16] I. Ansoff. Corporate Strategy: An Analytical Approach to Business Policy for Growth and Explanation. New York: McGraw Hill. 1965.
[17] R. Grant. "Toward a knowledge-based theory of the firm", Strategic Management Journal, 1996. No17 (Winter special issue): 109-122.
[18] N. Anand, H. Gardner and T. Morris. "Knowledge-based innovation: Emergence and embedding of new practice areas in management consulting firms", Academy of Management Journal. 2007. Vol. 50, pp. 406-428.
[19] W. Ashby. An Introduction to Cybernetics. London: Chapman and Hall. 1956.
[20] Proc. of the Intern. Conf. "Cognitive Analysis and Management of Development of Situations". CASC’2007. М.: Institute of Management Problems, Russian Аcademy of Sciences (http://www.ipu-conf.ru, http://CASC'2007) (in Russian).
[21] Organization for Economic Co-operation and Development (OECD). Science, Technology and Industry Outlook. 2008 OECD Code: 922008108E5 (http://www.oecd.org/html).
[22] H. Mintzberg. The Rise and Fall of Strategic Planning. New York: Free Press. 1994. 416 p.
[23] G. Soros. The Alchemy of Finance. Wiley. 2003. 416 p.
[24] D. Dorner. The Logic of Failure: Recognizing and Avoiding Error in Complex Situations. Basic Books Publ. 1996. 222 p.
[25] S. Makridakis. Forecasting, planning, and strategy for the 21st century. New York: Free Press. 1990, 293 p.
[26] V. Margolis. The Politics of the Artificial: Essays on Design and Design Studies. University of Chicago Press. 2002. 198 p.
[27] C. Holsapple, and A. Whinston. Decision Support Systems: A Knowledge-based Approach. Minneapolis: West Publishing Co. 1996. 254 p.
Cite This Article
  • APA Style

    Robert A. Karayev. (2014). Cognitive Approach to the Analysis and Choice of Innovation Strategies of the Enterprises. Journal of Investment and Management, 3(1), 1-6. https://doi.org/10.11648/j.jim.20140301.11

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    ACS Style

    Robert A. Karayev. Cognitive Approach to the Analysis and Choice of Innovation Strategies of the Enterprises. J. Invest. Manag. 2014, 3(1), 1-6. doi: 10.11648/j.jim.20140301.11

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    AMA Style

    Robert A. Karayev. Cognitive Approach to the Analysis and Choice of Innovation Strategies of the Enterprises. J Invest Manag. 2014;3(1):1-6. doi: 10.11648/j.jim.20140301.11

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  • @article{10.11648/j.jim.20140301.11,
      author = {Robert A. Karayev},
      title = {Cognitive Approach to the Analysis and Choice of Innovation Strategies of the Enterprises},
      journal = {Journal of Investment and Management},
      volume = {3},
      number = {1},
      pages = {1-6},
      doi = {10.11648/j.jim.20140301.11},
      url = {https://doi.org/10.11648/j.jim.20140301.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20140301.11},
      abstract = {The article considers the problem of the analysis and choice of innovation strategies of the small and medium-sized enterprises in modern complicated unstable economic conditions. Difficulties of solving this problem at the early conceptual design stage interfaced to high uncertainty and risk are marked. For the problem decision are offered the cognitive technologies of support which are today the most effective and perspective tools for  analysis and management of ill-structured problematic situations and, in particular, problematic situations of choice of enterprise innovation strategies. The proposed technology allows building a unified multi-disciplinary platform that integrates instrumental potentials all known business-concepts of innovation management. "Inference mechanism", developed as a part of this technology allows investigating the long-term dynamics of innovation strategies in the context of changing business environment and strategy targets of stakeholders. The aim of the article is to demonstrate the applied capacity of cognitive technologies, specifics of their building and the prospects of their use in the real conditions of innovation business.},
     year = {2014}
    }
    

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    AU  - Robert A. Karayev
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    AB  - The article considers the problem of the analysis and choice of innovation strategies of the small and medium-sized enterprises in modern complicated unstable economic conditions. Difficulties of solving this problem at the early conceptual design stage interfaced to high uncertainty and risk are marked. For the problem decision are offered the cognitive technologies of support which are today the most effective and perspective tools for  analysis and management of ill-structured problematic situations and, in particular, problematic situations of choice of enterprise innovation strategies. The proposed technology allows building a unified multi-disciplinary platform that integrates instrumental potentials all known business-concepts of innovation management. "Inference mechanism", developed as a part of this technology allows investigating the long-term dynamics of innovation strategies in the context of changing business environment and strategy targets of stakeholders. The aim of the article is to demonstrate the applied capacity of cognitive technologies, specifics of their building and the prospects of their use in the real conditions of innovation business.
    VL  - 3
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Author Information
  • Institute of Cybernetics of the National Academy of Sciences, Baku, Azerbaijan

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