Potential of modeling techniques organizational systems with matrix structure and the possibility of expanding their information base
https://doi.org/10.17073/2072-1633-2016-3-209-222
Abstract
The saturation of economic area trough the increasing number of interconnections, the globalization of the economy make the most popular methods of modeling techniques organizational systems with matrix structure. Scientometric research has shown that since the beginning of 90-ies the number of publications included in bibliographic database Scopus on the subject of the application of these methods increased by almost 20 times. A substantial part (28 %) of these publications contains to the joint use, at least, two alternative methods. The paper considers the advantages and limitations of modeling techniques organizational systems with matrix structure. The main limitation of these methods identified a small number of kinds original sources of information involved in the modeling of complex systems. The proposed extension of the information base simulation matrix organizational structures (industrial companies managed their businesses, etc.) to implement trough additional attraction of corporate media. Research has shown that extraction of the required information from publications contained in corporate periodicals, the method of content analysis enables to obtain sufficient data to verify adequacy of the structure of the systems that were identified by other methodological approaches, for example, the procedures of collective expertise. At the same time, more detailed information about the structural features of the simulated systems, it is advisable to draw by results of processing the primary published information technology Text Mining.
About the Authors
V. V. Brinza
National University of Science and Technology «MISIS»
Russian Federation
Russian Federation
Dr. Sci. (Eng.), Director of Scientific and Research Center of Technological Forecasting
4 Leninsky Prospekt, Moscow 119049, Russia
Yu. Yu. Kostyukhin
National University of Science and Technology «MISIS»
Russian Federation
Russian Federation
Dr. Sci. (Econ.), Deputy Director of the College of Economocs & Industrial Management, Head of the Department of Industrial Management
4 Leninsky Prospekt, Moscow 119049, Russia
I. V. Fadeeva
Russian Federation
Independent Expert
References
1. Drogobytskiy I.N. Sistemnyi analiz v ekonomike [System Analysis in Economics]. Moscow: Finansy i statistika, 2007. 509 p. (In Russ.)
2. Hritonenko N., Yatsenko Y., Mathematical Modeling in Economics, Ecology and the Environmen. New York ; Heidelberg ; Dordrecht ; London: Springer, 2013. 296 p. DOI: 10.1007/978-1-4614-9311-2
3. Advanced Dynamic Modeling of Economic and Social Systems. Ed. A. N. Proto, M. Squillante, J. Kacprzyk. Berlin ; Heidelberg: Springer-Verlag, 2013. 448 p. DOI: 10.1007/978-3-642-32903-6
4. Economic models: Methods, Theory and Applications. Ed. By Dipak Basu. Singapore. World Scientific Publishing Co Pte. Ltd., 2009. 248 p.
5. Brinza V.V. Quality management steel company as an object of predictive modeling. Kachestvo v obrabotke materialov. 2014. No. 1. Pp. 9–20. (In Russ.)
6. Brinza V.V., Korovin A.V., Lositskii A.F., Rozhdestvenskii V.V., Filippov V.B. Technical complex metallurgical plant: simulation development prospects. Natsional’naya metallurgiya. 2003. No. 1. Pp. 87–94. (In Russ.)
7. Avdeeva Z.K., Kovriga S.V., Makarenko D.I., Maksimov V.I. Kognitivnaya strukturizatsiya znanii o razvitii transnatsional’noi korporatsii [Cognitive structuring knowledge about the development of transnational corporations]. V sb. tr. 3-i Mezhdunarodnoi konferentsii CASC’2003 «Kognitivnyi analiz i upravlenie razvitiem situatsii» = In Proc. 3rd International Conference CASC’2003 «Cognitive analysis and development management situations». Moscow, 2003. Pp. 51–90. (In Russ.)
8. Makarenko D.I. Khrustalev E.U. Kontseptual’noe modelirovanie voennoi bezopasnosti gosudarstva [Conceptual modeling of the military security of the state]. Moscow: Nauka, 2008. 303 p. (In Russ.)
9. Kapulin D.V., Kuznecov A.S., Noskova E.E. Informatsionnaya struktura predpriyatiya [The information structure of the enterprise]. Krasnoyarsk: SFU, 2014. 186 p. (In Russ.)
10. Shatikhin L.G. Strukturnye matritsy i ikh primenenie dlya issledovaniya system [The structural matrix and their application to the study of systems]. Moscow: Mashinostroenie, 1991. 254 p. (In Russ.)
11. Jeffers J. Vvedenie v sistemnyi analiz: primenenie v ekologii [Introduction to systems analysis: application in ecology]. Moscow: Mir, 1981. 256 p. (In Russ.)
12. Ekologicheskie sistemy. Adaptivnaya otsenka i upravlenie [Ecological systems. Adaptive Assessment and Management]. Pod red. K.S. Holinga Moscow: Mir, 1981. 398 p. (In Russ.)
13. Martin F.F. Computer modeling and simulation. New York: John Wiley & Sons, Inc., 1968. 344 p.
14. Shannon R.E. Systems simulation. The art and science. Englewood Cliffs (NJ, USA): Prentice-Hall Inc., 1975. 387 p.
15. Maksimei I.V. Imitatsionnoe modelirovanie na EVM [Computer simulation]. Мoscow: Radio i Svyaz, 1988. 232 p. (In Russ.)
16. Brinza V.V., Ilyichev I.P., Loginova V.V., Ugarova O.A. Prognostic simulation of external economic activity for an industrial company // CIS Iron and Steel Review. 2015. No. 1. Pp. 27–39. DOI: 10.17580/cisisr.2015.01.06
17. Brinza V.V., Golovkina V.B., Mokretsova L.O., Perk O.N. The structural capacity of the system «Department of the basic disciplines – high school – environment». Kachestvo. Innovatsii. Obrazovanie. 2009. No. 11(54). Pp. 22–31. (In Russ.)
18. Brinza V.V., Loginova V.V., Hilko A.I. Definition of effective variants of decomposition of modelled difficult systems with a considerable share of social components. Ekonomika v promyshlennosti = Economy in the industry. 2009. No. 3. Pp. 41–46. (In Russ.). DOI: 10.17073/2072-1633-2009-3-41-46
19. Brinza V.V., Shljahov M.J., Zernov S.M., Lytkin N.A., Abramushin K.M. The industrial production of superconducting materials first in Russia: forecasting of potential of development. Ekonomika v promyshlennosti = Economy in the industry. 2011. No. 4. Pp. 33–47. (In Russ.). DOI: 10.17073/2072-1633-2011-4-33-47
20. Brinza V.V., Loginova V.V., Perk O.N. Resource potential of innovation-oriented metallurgical companies: systemic assessment of the impact on product quality. Kachestvo v obrabotke materialov. 2015. No. 2(4). Pp. 5–11. (In Russ.)
21. Rozhdestvenskiy V.V., Brinza V.V., Kotrekhov V.A. Optimization of the sequence of reconstruction stages in multi-stage production. Tsvetnye metally = Nonferrous metals. 2007. No. 10. Pp. 14–23. (In Russ.)
22. Gordon Th.J. Cross-Impact Method. Technical report. United Nations University Millennium Project, 1994. 21 p. Available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.202.7337&rep=rep1&type=pdf (accessed: 16.01.2017)
23. Nanus B. QUEST – Quick Environmental Scanning Technique // Long Range Planning. 1982. Vol. 15. No. 2. Pp. 39–45.
24. Forrester J.W. Industrial Dynamics. Cambridge (MA, USA): The M.I.T. Press, 1961. 464 p.
25. Sterman J.D. Business Dynamic. Systems Thinking for a Complex World. Boston (USA): Irwin McGraw-Hill, 2000. 982 p.
26. Kane J. A Primer for a New-Cross-Impact Language – KSIM. Technological Forecasting and Social Change. 1972. Vol. 4. No. 2. Pp. 129–142.
27. Gallopin G.C. Modeling Incompletely Specified Complex Systems. Third International Symposium on Trends in Mathematical Modeling (1976). UNESCOFundacion. Bariloche, 1977. Pp. 360–379.
28. Schwenker B., Wulf T. Scenario-Based, Strategic planning. Developing Strategies in an Uncertain World. Wiesbaden: Springer Gabler, 2013. 229 p.
29. Bradfield R., Burt G., Cairns G., Van der Heijden K. The origins and evolution of scenario techniques in long range business planning. Futures. 2005. No. 37. Pp. 795–812.
30. Smith N., Ramil J.F. Qualitative simulation of models of software evolution. Software Process. 2002. Vol. 7. No. 3–4. Pp. 95–112.
31. Leontief W., Carter A. P., Petri P. The Future of the World Economy: A United Nations Study. New York: Oxford University Press, 1977. 110 p.
32. Miller R.E., Blair P.D. Input – Output Analysis. Foundations and Extensions. New York: Cambridge University Press, 2009. 784 p.
33. Howard R.A. Dynamic probabilistic Systems. Vol. 1: Мarkov models. Stanford (CA, USA): John Wiley & Sons Ins., 1971. 605 p.
34. Wolf J., Egelhoff W.G. An empirical evaluation of conflict in MNC matrix structure firms. International Business Review. 2013. Vol. 22 No. 3. Pp. 591–601. DOI: 10.1016/j.ibusrev.2012.08.005
35. Brown T.A., Roberts F.S., Spencer J. Pulse Processes on Signed Digraphs: A Toll for Analyzing Energy Demand. R-926-NSF. Santa Monica (CA, USA), Rand Corp., 1972. 83 p.
36. Maksimov V.I. Strukturno-tselevoi analiz razvitiya sotsial’no-ekonomicheskikh situatsii [Structurallytarget analysis of socio-economic situations]. V sb. tr. 3-i Mezhdunarodnoi konferentsii CASC’2003 «Kognitivnyi analiz i upravlenie razvitiem situatsii» = In Proc. 3rd International Conference CASC’2003 «Cognitive analysis and development management situations». Moscow, 2003. Pp. 4–27. (In Russ.)
37. Gorelova G.V., Zakharova E.N., Ginis L.A. Kognitivnyi analiz i modelirovanie ustoichivogo razvitiya sotsial’no-ekonomicheskikh sistem [Cognitive analysis and modeling of sustainable socio-economic systems]. Rostov-on-Don: Izdatelstvo Rostovskogo Universiteta, 2005. 288 p. (In Russ.)
38. Rajesh R., Ravi V., Rao R.V. Selection of risk mitigation strategy in electronic supply chains using grey theory and digraph-matrix approaches. International Journal of Production Research. 2015. Vol. 53. No. 1. Pp. 238–257. DOI: 10.1080/00207543.2014.948579
39. Mahdi Mahdiloo, Reza Farzipoor Saen, Ki-Hoon Lee. Technical, environmental and eco-efficiency measurement for supplier selection: An extension and application of data envelopment analysis. Int. J. Production Economics. 2015. Vol. 168. Pp. 279– 289. DOI: 10.1016/j.ijpe.2015.07.010
40. Brinza V.V., Kostyukhin Y.Y., Suslova M.A., Perk O.N. From future to present: forecast modeling methodology applicationin value-based management. Ekonomika v promyshlennosti = Economy in the industry. 2014. No. 2. Pp. 63–73. (In Russ.). DOI: 10.17073/2072-1633-2014-2-63–73
41. Fuzzy Cognitive Maps. Advances in Theory, Methodologies, Tools and Applications. Vol. 247. Ed. by M. Glykas. Berlin ; Heidelberg: Springer-Verlag, 2010. 436 p. DOI: 10.1007/978-3-642-03220-2
42. Saaty T.L. The Analytic Hierarchy Process. New York: McGraw Hill, 1980. Pp. 1–17.
43. Newman M.E.J. Networks. An Introduction. Oxford; New York: Oxford University Press, 2010. 784 p.
44. Glattfelder J.B. Decoding Complexity. Uncovering Patterns in Economic Networks. Springer Theses. Berlin; Heidelberg: Springer-Verlag, 2013. 234 p. DOI: 10.1007/978-3-642-33424-5
45. Analysis of Complex Networks: From Biology to Linguistics. Ed. by M. Dehmer, F. Emmert-Streiss. Weinheim: Wiley-Verlag GmbH&Co. KGaA., 2009. 480 p.
46. Arcade J., Godet M., Meunier F., Roubelat F. Structural analysis with the MICMAC method and actors’ strategy with MACTOR method. In: J.C. Glenn, T.J. Gordon (Eds.) AC/UNU Millennium Project: Futures Research Methodology. Paris, 2000. 70 p.
47. Bector C.R., Chandra S. Fuzzy Mathematical Programming and Fuzzy Matrix Games. Berlin; Heidelberg; New York: Springer, 2005. 250 p.
48. Kruzhkova G.V., Kostyukhin Yu.Yu. Game theory and pricing strategy for secondary raw materials. Tsvetnye metally = Nonferrous metals. 2012. No. 8. Pp. 6–9. (In Russ.)
49. Saaty T.L. Decision Making with Dependence and Feedback: Analytic Network Process. Pittsburgh: RWS Publications, 2001. 370 p.
50. Mescon M.H., Albert M., Khedoury F. Management. New York: Harper & Row, 1988. 777 p.
51. Porter M.E. Competitive Strategy. Techniques for Analyzing Industries and Competitive. New York: The Free press, 1980. 422 p.
52. Ryzhykova L.N. Functions of Corporate Press. Vestnik YuUrGU. Seriya Sotsial’no- gumanitarnye nauki = Bulletin of South Ural State University. Series Social Sciences and the Humanities. 2006. No. 8(63). Pp. 39–43. (In Russ.)
53. Murzin D.A. Fenomen korporativnoi pressy [Corporate Press phenomenon]. Moscow: Izdatel’skii dom «Khroniker», 2005. 192 p. (In Russ.)
54. Chemyakin Yu.V. Korporativnye SMI. Sekrety effektivnosti [Corporate Media. Effectiveness of Secrets]. Ekaterinburg: Diskurs Pi, 2006. 120 p. (In Russ.)
55. Myasnikov I.Yu. Experimental application of a technique of problem-oriented corporate edition simulation. Vestnik Tomskogo gosudarstvennogo universiteta. Filologiya. 2010. No. 4(12). Pp. 118–125. (In Russ.)
56. Himmelblau D.M. Process analysis by statistical methods. New York: John Wiley & Sons Inc., 1970. 463 p.
57. Feldman R., Sanger J. The Text Mining Handbook: Advanced Approaches in Analyzing
58. nstructured Data. New York: Cambridge University Press, 2007. 422 p.
Review
For citations:
Brinza V.V., Kostyukhin Yu.Yu., Fadeeva I.V. Potential of modeling techniques organizational systems with matrix structure and the possibility of expanding their information base. Russian Journal of Industrial Economics. 2016;(3):209-222. (In Russ.) https://doi.org/10.17073/2072-1633-2016-3-209-222
Views:
906
Email this article 