Support for decision-making on nominating research and teaching staff to awards

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Abstract

Nomination to awards is among the tasks of the head. The drawback of this work is the subjectivity of the decisions made. In the long run, this can become an irritating factor for employees, so this could be avoided by a transparent and understandable procedure. Within the framework of the research conducted in Samara State Transport University, a procedure has been developed to support the decision-making on nominating research and teaching staff to awards. The calculation is carried out on the basis of several indicators: work experience, presence / absence of disciplinary penalties, efficiency of an employee’s activity over the given period, frequency of employee’s awards and the history of awarding. The criteria for assessing the staff efficiency are digitized. The boundary conditions of each criterion are also described. For separate criteria a logarithmic function is adopted. So the paper presents a mathematical interpretation of the procedure «Support of decision-making on nominating University staff to awards». Practical implementation is illustrated on the cases of 20 employees. The proposed procedure is applicable in educational organizations of any level, but it is most optimal for industrial educational organizations of higher and secondary vocational training. This is due to the fact that the procedure allows you to take into account the industrial component. Mathematical interpretation enables to introduce it into the electronic systems of employees, for example, 1.C system, «Personnel» module.

About the authors

Dmitry Valerianovich Zheleznov

Samara State Transport University

Email: zheleznov_dim@mail.ru

doctor of technical sciences, rector

Russian Federation, Samara

Vitaly Viktorovich Asabin

Samara State Transport University

Email: v.asabin@samgups.ru

candidate of technical sciences, first vice rector

Russian Federation, Samara

Maksim Alekseevich Garanin

Samara State Transport University

Author for correspondence.
Email: garanin@samgups.ru

candidate of technical sciences, vice rector for education work

Russian Federation, Samara

References

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Supplementary files

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2. Figure 1 - Graphic interpretation of the coefficient k1

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3. Figure 2 - Graphic interpretation of the coefficient k2

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4. Figure 3 - Graphic interpretation of the coefficient k4

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5. Figure 4 - Assessment of the fairness of the award (black dots mark the employees nominated for the award), the correlation coefficient is 77%

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Copyright (c) 2018 Zheleznov D.V., Asabin V.V., Garanin M.A.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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