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Statistical Testing of Key Effectiveness Indicators of the Companies (Case for Ukraine in 2012)

Author

Listed:
  • Vladimir Ponomarenko
  • Oleksandr Dorokhov
  • Iryna Gontareva

Abstract

The system efficiency of the company functioning depends on the quality potential, level of functional organization and operativeness of management decisions. All these aspects need to be shown results indicators of enterprises. Under effectiveness is to be understood the degree of achieve of the strategic goals of the enterprises. The most well-known base of the company functioning evaluating is model of balanced scorecard (BSC) of R. Kaplan and D. Norton. This system includes four aspects: financial, customer, internal business processes, training and development of staff. The purpose of this paper is the statistical testing of possibility to separate key effectiveness indicators for these groups and determination of their composition. With the use of multivariate factor analysis was identified the most significant indicators of the effectiveness of engineering companies. The hypothesis of R. Kaplan and D. Norton about the allocation of the four groups of key effectiveness indicators has been confirmed.

Suggested Citation

  • Vladimir Ponomarenko & Oleksandr Dorokhov & Iryna Gontareva, 2014. "Statistical Testing of Key Effectiveness Indicators of the Companies (Case for Ukraine in 2012)," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 108-124.
  • Handle: RePEc:bas:econst:y:2014:i:4:p:108-124
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    References listed on IDEAS

    as
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    2. Balaji S. Chakravarthy, 1986. "Measuring strategic performance," Strategic Management Journal, Wiley Blackwell, vol. 7(5), pages 437-458, September.
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    More about this item

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • D2 - Microeconomics - - Production and Organizations
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy

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