African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4188

Full Length Research Paper

Designing a fuzzy model for decision support systems in the selection and recruitment process

Sabina Mirzaei Nobari1* and Davood Hosein Zadeh2
1Azerbaijan National Academy of Sciences, Institute of Information Technologies 370141, Baku, Azerbaijan, 2Department of Psychology and Educational Sciences College, Islamic Azad University, Saveh Branch, Saveh, Iran.
Email: [email protected]

  •  Accepted: 29 December 2011
  •  Published: 28 April 2013

Abstract

 

Today, most companies require skilled and experienced staff in their firms, but they encounter problems in identifying the necessary personnel to recruit. However, there is lack of a system that has the capability of integrating the needs of organizations in this field. A case study is Iran Khodro Company, Iran's largest car maker which has always been faced with these problems. Based on this study, the head of the department of Human Resources of Iran Khodro Company Affairs was implemented as the deputy leader in their recruitment and selection plan. Acceptable performance results from this research are considered the most important achievement due to the study and it is application in other parts of the company by the deputy for recruitment and selection. The goal of this study is to introduce a model of fuzzy decision support systems that is in compliance with it; as such, Iran Khodro Company can improve their selection and hiring process. In this context, the absence of a model capable of compliance with specific restrictions on hiring decisions will be felt. The model can be developed to become a Decision Support System in the field of personnel selection. Therefore, the findings of this study can be used in making good decisions and senior managers can also assist in making comprehensive and scientific decisions. Also, according to environmental uncertainty, the research phase space can be near the amount of models to more realistic situations and can cause more aspects of the situation to decide on the actual model that gives the best expression.

 

Key words: Decision support system, fuzzy model, TOPSIS method, selection, recruitment.