Financial Analytics: Science and Experience
 

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Applied metrology for the convergent economy: A cognitive approach

Vol. 12, Iss. 3, SEPTEMBER 2019

Received: 16 January 2019

Received in revised form: 29 January 2019

Accepted: 18 February 2019

Available online: 30 August 2019

Subject Heading: ASSESSMENT AND APPRAISAL ACTIVITIES

JEL Classification: С01, С10, С50, С80

Pages: 325–337

https://doi.org/10.24891/fa.12.3.325

Demidov Ya.P. Autonomous non-profit organization Cognitive Metrology, Kazan, Republic of Tatarstan, Russian Federation
JacovTom@yandex.ru

ORCID id: not available

Subject This article discusses the use of tools for measuring and assessing the state of organizational systems for the convergence of various forms of economic life.
Objectives The article aims to reveal the main drawbacks, deformations and defects of traditional practical metrology in the economy, show the inadequacy of existing measurement methods, and present a concept of solving the problem of aligning multivariate processes in the economy and social sphere with a univariate test to the scientific and business community. The article also aims to justify and develop innovative metrological support uniting the properties of natural-market and expert-analytical metrologies.
Methods The research uses the methods of semantic, verbal and statistical analysis of organizational structures management in terms of utility and scientific approaches.
Results The results of the study cover all types of industrial and non-industrial organizational and technological structures, a significant part of the employed population, activities that are characterized as multivariate, multi-purpose and multi-directional, and they are applicable to all organizational and legal business forms.
Conclusions Metrological support for the convergent economy conditions should unite advantages and advantages of natural-market and expert-analytical metrologies. It should function in real time on the basis of semantic models and artificial intelligence, and be unified, scientifically grounded and independent of the human factor.

Keywords: measurement, indicators, intelligence, management, evaluation, motivation

References:

  1. Edel'gauz G.E. Dostovernost' statisticheskikh pokazatelei: monografiya [Reliability of statistical indicators: a monograph]. Moscow, Statistika Publ., 1977, 278 p.
  2. Azgal'dov G.G. Teoriya i praktika otsenki kachestva tovarov. Osnovy kvalimetrii [The theory and practice of goods quality evaluation. The basics of qualimetry]. Moscow, Ekonomika Publ., 1982, 256 p.
  3. Demidov Ya.P., Matveev A.P. [Harmonization criterion. Substantiation and practical experience]. Pribory i sistemy upravleniya = Control Devices and Systems, 1990, no. 1, pp. 41–44. (In Russ.)
  4. Demidov Ya.P., Bagautdinova N.G., Shabanova L.B. Otsenka sostoyaniya organizatsionnykh sistem. Printsipy, modeli, tekhnologiya [Evaluation of the state of organizational systems: principles, models, technology]. Kazan, Kazan Federal University Publ., 2016, 316 p.

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