Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Application of the Balanced Scorecard Methodology in the Development of the State Anti-Shadow Policy

Authors: M. V. Golovko;

Application of the Balanced Scorecard Methodology in the Development of the State Anti-Shadow Policy

Abstract

The presented study explores opportunities for using the balanced scorecard methodology in the development of measures to counter the shadow economy and corruption with allowance for their systemic and interdisciplinary nature.Aim. The study aims to substantiate the efficiency of using the balanced scorecard methodology in the development of a state policy to counter the shadow economy and corruption.Tasks. The author determines and describes the systemic nature of the shadow economy as the subject of the study, which does not allow for aspectual countermeasures; proposes an algorithm for developing a state policy to counter the shadow economy and corruption using the balanced scorecard meth-odology, by setting a goal, objectives, and methods of influence; identifies the major projections of the system, objects of monitoring, and subjects of control; recommends focus areas for working with the information base obtained as a result of monitoring, which are crucial for ensuring the security of the institutional environment.Methods. This study uses the methodology of the systemic and institutional approach to the research of economic phenomena and processes, methods of systems analysis and modeling.Results. It is established that threats generated by the institutional environment are the main factor in the development of the shadow sector of the national economy. The operational conditions of economic entities, which have developed within the economic, political, and socio-cultural environment, are too burdensome for ensuring profitability as a key business goal. The study provides an example of an algorithm for developing a policy to counter the shadow economy and corruption based on the balanced scorecard. The major identified projections are the spiritual, moral, political, social, and economic projections. The projections are selected in accordance with the areas where threats to the security of the institutional environment emerge.Conclusion. The author proposes directions for monitoring and further work on decomposing the set goal to the level of operational activities in the aspect of combating shadow economic transactions.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!