Int. J. of Business Information Systems   »   2017 Vol.24, No.4

 

 

Title: Employee performance evaluation in institute of higher education using fuzzy AHP methods

 

Author: Zahra Ghassabi

 

Address: Social Science Department, Payame Noor University of Islamic Republic of Iran, P.O. Box 19395-3697, Tehran, Iran

 

Abstract: Today's business executive is in a seemingly never ending search for employees who are not only high performing, but are also willing to remain and grow with the organisation (Wright, 2010). The main aim of this study was employees' performance evaluation at those institutes of higher education. The model of the study is tested on a sample of 30 experts in the Institute of Higher Education in Iran. The main instruments used for gathering the data in this study were institute of higher education records and questionnaire. In this study, personal qualities and strength, management skills, talent and aptitude sub-scales were ranked regarding to factor effective on performance evaluation of employees including personal qualities and strength, management skills, talent and aptitude by using fuzzy hierarchical analysis (FAHP). The results obtained from fuzzy AHP methods indicate that personal qualities and strength is more important than management skills, talent and aptitude. According to the talent and aptitude factor, it is concluded that subject knowledge is superior to other factors. According to personal qualities and strength scale, it is concluded that decisiveness are more important than other factors. According to management skills scale, it is concluded that time management are more important than other factors.

 

Keywords: performance evaluation; human resource practices; organisational performance; fuzzy AHP; analytical hierarchy process; FAHP; employee performance; higher education institutions; HEIs; Iran; talent; aptitude; subject knowledge; personal qualities; decisiveness; management skills; time management.

 

DOI: 10.1504/IJBIS.2017.10003349

 

Int. J. of Business Information Systems, 2017 Vol.24, No.4, pp.399 - 422

 

Available online: 22 Feb 2017

 

 

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