[AISWorld] [AJIS] An Automated Implementation of Academic Staff Performance Evaluation System based on Rough Sets Theory

[Ajis Editor]

Hi,

The *Australasian Journal of Information Systems *has just published its
latest article.


*An Automated Implementation of Academic Staff Performance Evaluation
System based on Rough Sets TheoryOjokoh, B., Akinsulire, V., & Isinkaye, F.
O. *

*https://doi.org/10.3127/ajis.v23i0.2033
<https://doi.org/10.3127/ajis.v23i0.2033>  *

*Abstract *
The essence of evaluating employees’ performance in any tertiary
institution is to realize the goals of the institution by measuring the
contribution of each employee. Effective human resource evaluation is
paramount to the development of any organization. An automated method is
needed to remove the limitations and facilitate the duties of human
resource management. In this paper, rough set theory, a mathematical
technique that deals with vagueness and uncertainty of imperfect data
analysis is adopted for the evaluation of academic staff profile for
promotion, grants and other academic purposes. The entire appraisal process
of academic staff was translated into a web-based application where every
user can fill, edit, update, and submit the annual performance evaluation
report form. The indiscernible property of rough set approach is a unique
factor in assessing every academic staff under the department and
faculty/school by the head of department and dean respectively. With this,
the system generates an information table handling all the necessary
conditions for promoting academic staff and the corresponding decisions
taken. A model for rating publications was proposed to reduce the
sentiments involved in manual rating. Reports were generated as output of
each evaluation procedure. One hundred (100) dataset of academic staff of
the Federal University of Technology, Akure, Nigeria was used in the
experiment to evaluate the performance of the system. The results of the
system obtained score were compared with the institution standard and it
was found that the system scores were above standard, the average precision
of the system shows 60% effectiveness which showed that the proposed system
is efficient for academic performance evaluation process.

*Keywords*: Academic Staff, Human resource management, Performance
Evaluation, Rough sets

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