Products Generated Knowledge (Intangible Assets) Determinants in Predicting the Bankruptcy Risk?
Keywords:
economic model, intellectual capital, expert systems, knowledge, society, intangible assetsAbstract
A vital activity is the issue of creating a knowledge society, which can only be solved by involving all the forces of intellectual, academic, all generators of ideas. The paper is intended as a contribution, along with attempts by other specialists in finding operational solutions and their implementation in estimating the risk of bankruptcy and predicting its occurrence so through research and development, education and innovation can bring prosperity, development sustainable and personal development of every citizen. Scientific novelty and originality of research and of the results obtained is to formulate proposals of rates in the score function of economic models to estimate the risk of bankruptcy of firms. This rate takes into account intangible assets predominant factor in the evolution of the company and the market value of the company. On the basis of an analysis made it demonstrated that score function for models Altman, Conan-Holder and Rating suffered a pretty significant change if we took into account the intangible assets of the company. Entering this rate into the mentioned models was made using expert systems and neural networks. The analysis, arguments, mathematical models, principles, goals can all be made based on the methodology of scientific research in the creation of knowledge society, scientific elaborations. The results of the work can be applied to all firms in the EU countries' national economies. The mathematical model could have other economic interpretations and therefore can be used in formulating and solving a number of problems in the national economies.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Altman, E. I. (1968), “Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy”, The Journal of Finance,Vol. XXIII, No. 4, 1968, available at: http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6261.1968.tb00843.x/pdf (2/3/2016)
Buchurest Stock Exchange.Main page.Available at: http://www.bvb.ro/ (2/3/2016)
Conan J., Holder M., (1979),“Variables explicatives de performance et controle de gestion dans lesP.M.I.”, These d’Etat, CERG, Universite ParisDauphine
Drucker, P. (1992),“The New Society of Organizations”; Harvard Business Review
Feigenbaum E.,McCorduck, P, (1983), “The Fifth Generation”, Addison Wesley, Reading Massachusetts
Iancu, E. (2011),“Sisteme expert încontabilitatesiinformatica de gestiune”, Ed. Politehnica Timisoara
Malhotra, Y. (2003),“Measuring National Knowledge Assets of a Nation; Knowledge Systems for Development”. În Report of the Ad Hoc Expert Group Meeting on Knowledge Systems for Development, 4-5 September 2003, United Nations, New York
Martin, T., Kivinen, J. (1990),“Appropriate Automation Integrating Human, Organization and Culture Factors”. In: Preprints IFAC 11th World Congress, vol. 1, pp.47-6
Naisbitt J. (1982), “Megatrends. Ten new directions transforming our lives”, Warner Books
Tacu. Al.P. (1998),“Inteligenţaartificială”, Ed. Economică, Bucureşti
Toffler, A. (1973), “Şoculviitorului”, EdituraPolitică, Bucureşti
Zadeh, L.A. (1965),“Fuzzy Sets”, Information and Control, p.338-353