Loading

Indicators of the Universities Control Activities
Roman P. Bulyga1, Elena V. Nikiforova2, Irina V. Safonova3

1Roman P. Bulyga, Doctor of Economic Sciences (Advanced Doctor), Head of the Accounting, Analysis and Audit Department of Financial University under the Government of the Russian Federation, Moscow, Russia.
2Elena V. Nikiforova, Doctor of Economic Sciences (Advanced Doctor), Vice Head of the Accounting, Analysis and Audit Department of Financial University under the Government of the Russian Federation, Moscow, Russia.
3Irina V. Safonova, Ph.D., associate professor of Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia.

Manuscript received on 30 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1409-1415 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8150078919/19©BEIESP | DOI: 10.35940/ijitee.I8150.078919
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This article presents a detailed analysis and content of the main objects of control of the university’s activities, such as it’s potential, educational and scientific activities, as well as such independent objects of control as educational programs. The composition and general characteristics of the analytical indicators of the university’s control activities are disclosed, such as indicators of assessment of its potential, indicators of control activities of the university as a whole, as well as the implementation progress of its educational programs. The results of the study are reflected in the matrix of control objects of university activities, which can be widely applied as methodological support for building a system for controlling universities’ activities
Keywords: Financial Resources, Educational Activities, Educational Programs, Human capital, Intellectual capital, Intellectual property, Marketing capital, Organizational capital, Scientific Activity, Social capital.

Scope of the Article: Predictive Analysis