Knowledge-Based System for Assessment of Economic Situation of Enterprise

Jan Andreasik

doi:10.56583/br.1086

Published : 2014-06-09

Vol. 12 No. 1 (2014)

Knowledge-Based System for Assessment of Economic Situation of Enterprise

Jan Andreasik

DOI: https://doi.org/10.56583/br.1086

Abstract

In the paper, the author’s conception of building an intelligent system for predicting economic situation of enterprises is presented. This conception is captured in the form of the prediction chain (PC). A process of reasoning by analogy is performed using a Case-Based Reasoning (CBR) methodology. In the paper, a model of an enterprise, concentrating on identification of the competence potential and competence gap, is shown. A protocol of an assessment of potential and assessment of competence gap in a given range, using the AHP (Analytic Hierarchy Process), is presented. Individual elements of a system for creating the knowledge are captured in the form of an A-E-AE (Agent-Expert-Acts of Explanation). The structures of classes in the Protege editor are shown. At the end, a coordination diagram in the UML language is depicted. This diagram makes up a diagram of the interface between an expert and a CBR system.

Keywords:

enterprise ontology, intelligent systems, predicting, case-based reasoning, expert systems

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Andreasik, J. (2014). Knowledge-Based System for Assessment of Economic Situation of Enterprise. Regional Barometer. Analyses & Prognoses, 12(1), 141–151. https://doi.org/10.56583/br.1086

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References

Aamodt, A., and E. Plaza. 1994. “Case-Based Reasoning — Foundational Issues, Methodological Variations, and System Approaches.” Ai Communications no. 7 (1): 39–59. DOI: https://doi.org/10.3233/AIC-1994-7104

Altman, E.I. 1993. Corporate Financial Distress and Bankruptcy. A Complete Guide to Predicting & Avoiding Distress and Profiting from Bankruptcy. 2 ed, Wiley finance editions. New York: Wiley.

Andreasik, J. 2007. “A Case Base Reasoning System for Predicting the Economic Situation on Enterprises – Tacit Knowledge Capture Process (Externalization).” In Computer recognition systems 2, edited by M. Kurzyński, 718–730. Berlin-New York: Springer. DOI: https://doi.org/10.1007/978-3-540-75175-5_89

Andreasik, J. 2008. “Enterprise Ontology — Diagnostic Approach.” 2008 Conference on Human System Interactions, Vols 1 and 2:503–509. DOI: https://doi.org/10.1109/HSI.2008.4581489

Argenti, J. 1976. Corporate Collapse. The Causes and Symptoms. London-New York: McGraw-Hill.

Brooking, A. 1999. Corporate Memory. Strategies for Knowledge Management. London: International Thomson Business Press.

Carlucci, D., B. Marr, and G. Schiuma. 2004. “The Knowledge Value Chain. How Intellectual Capital Impacts on Business Performance.” International Journal of Technology Management no. 27 (6–7): 575–590. doi: 10.1504/Ijtm.2004.004903. DOI: https://doi.org/10.1504/IJTM.2004.004903

Forman, E.H., and M.A. Selly. 2001. Decision by Objectives. How to Convince Others That You Are Right. River Edge, N. J.: World Scientific. DOI: https://doi.org/10.1142/4281

Harzallah, M., G. Berio, and F. Vernadat. 2006. “Analysis and Modeling of Individual Competencies. Toward Better Management of Human Resources.” Ieee Transactions on Systems Man and Cybernetics Part a-Systems and Humans no. 36 (1): 187–207. doi: 10.1109/Tsmca.2006.859093. DOI: https://doi.org/10.1109/TSMCA.2005.859093

Holsapple, C.W., and M. Singh. 2001. “The Knowledge Chain Model. Activities for Competitiveness.” Expert Systems with Applications no. 20 (1): 77–98. doi: 10.1016/S0957-4174(00)00050-6. DOI: https://doi.org/10.1016/S0957-4174(00)00050-6

Jussupova-Mariethoz, Y., and A.R. Probst. 2007. “Business Concepts Ontology for an Enterprise Performance and Competences Monitoring.” Computers in Industry no. 58 (2): 118–129. doi: 10.1016/j.compind.2006.09.008. DOI: https://doi.org/10.1016/j.compind.2006.09.008

Kirkwood, C.W. 1997. Strategic Decision Making. Multiobjective Decision Analysis with Spreadsheets. Belmont: Duxbury Press.

Lu, J., L. Sun, and X. Ma. 2002. “An Evaluation Model for Enterprise Competence and Case Study.” USA-China Business Review no. 2 (2).

Montresor, S. 2004. “Resources, Capabilities, Competences and the Theory of the Firm.” Journal of Economic Studies no. 31 (5): 409–434. doi: 10.1108/01443580410555528. DOI: https://doi.org/10.1108/01443580410555528

Pepiot, G., N. Cheikhrouhou, J.M. Furbringer, and R. Glardon. 2007. “UECML: Unified Enterprise Competence Modelling Language.” Computers in Industry no. 58 (2): 130–142. doi: 10.1016/j.compind.2006.09.010. DOI: https://doi.org/10.1016/j.compind.2006.09.010

Porter, M.E. 1980. Competitive Strategy. Techniques for Analyzing Industries and Competitors. New York: Free Press.

Prahalad, C.K., and G. Hamel. 1990. “The Core Competence of the Corporation.” Harvard Business Review no. 68 (3): 79–91.

Richardson, B., S. Nwankwo, and S. Richardson. 1994. “Understanding the Causes of Business Failure Crises. Generic Failure Types: Boiled Frogs, Drowned Frogs, Bullfrogs and Tadpoles.” Management Decision no. 32 (4): 9–22. doi: 10.1108/00251749410058635. DOI: https://doi.org/10.1108/00251749410058635

Saaty, T.L. 2001. Decision Making for Leaders. The Analytic Hierarchy Process for Decisions in a Complex World. The analytic hierarchy process series. Pittsburgh, Pa.: RWS Publ. DOI: https://doi.org/10.1007/978-94-015-9799-9_2

Seppänen, V. 2002. “Evolution of Competence in Software Subcontracting Projects.” International Journal of Project Management no. 20 (2): 155–164. DOI: https://doi.org/10.1016/S0263-7863(00)00043-0

Vasconcelos, J.A.B., C. Kimble, F.R. Gouveia, and D. Kudenko. 2001. Reasoning in Corporate Memory Systems. A Case Study of Group Competencies. Paper read at ISMICK’01, October, at Université Technologie Compiègne.

Watson, I.D. 2003. Applying Knowledge Management. Techniques for Building Corporate Memories. Amsterdam-Boston: Morgan Kaufmann. DOI: https://doi.org/10.1007/3-540-46119-1_2