Reducing Uncertainty: Implementation of Heisenberg Principle to Measure Company Performance
Anna Svirina, Elena Parfenova, Elena Shurkina
The paper addresses the problem of uncertainty reduction in
estimation of future company performance, which is a result of
wide range of enterprise’s intangible assets probable efficiency.
To reduce this problem, the paper suggests to use quantum
economy principles, i.e. implementation of Heisenberg principle
to measure efficiency and potential of intangible assets of the
company. It is proposed that for intangibles it is not possible to
estimate both potential and efficiency at a certain time point. To
provide a proof for these thesis, the data on resources potential
and efficiency from mid-Russian companies was evaluated
within deterministic approach, which did not allow to evaluate
probability of achieving certain resource efficiency, and
quantum approach, which allowed to estimate the central point
around which the probable efficiency of resources in
concentrated. Visualization of these approaches was performed
by means of LabView software. It was proven that for tangible
assets performance estimation a deterministic approach should
be used; while for intangible assets the quantum approach
allows better quality of future performance prediction. On the
basis of these findings we proposed the holistic approach
towards estimation of company resource efficiency in order to
reduce uncertainty in modeling company performance. Full Text
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