Design a fuzzy inference system to identify talented faculty members

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The present research is applied in terms of purpose and descriptive-survey method. Due to the research gap in the field of identifying talented people in previous researches, the present study has been compiled with the aim of identifying talented faculty members. For this purpose, two variables of Performance (Educational and Research) and Potential (Ability,& Aspirations and Engagement) of faculty members have been used. The statistical population of the present study is 350 faculty members of Mazandaran University who have been selected as a sample using purposive sampling method of 110 faculty members. Data related to educational performance have been prepared in cooperation with the Office of Supervision of Evaluation and Supervision, Quality Assurance and data related to research performance in cooperation with the Vice Chancellor for Research. To evaluate the ability of faculty members, the evaluation form of the CEB model(2005) and also to evaluate job aspirations and job engagement, two standard questionnaires, Nadi et al (2010) and Shuffle et al(2006) were used, respectively. The content validity of the questionnaires by experts and the reliability of the questionnaire is job aspirations (81.8) and job interaction(91.9). After initial clustering on the data, a fuzzy inference system with two inputs (performance and potential) and one output (Talent) is defined at five levels. The results show that most of the faculty members are 42.72% in the "intermediate" section. Also, 11.82% were in the "very low" section, 16.37% in the "low" section, 25.45% in the "high" section and 3.64% in the "very high" section
Language:
Persian
Published:
Journal of Sustainable Human Resource Management, Volume:2 Issue: 3, 2020
Pages:
27 to 45
https://www.magiran.com/p2219651  
سامانه نویسندگان
  • Author (1)
    Mehdi Khosravi
    Phd Student Public Administration - Public Policy, Tarbiat Modares University, Tehran, Iran
    Khosravi، Mehdi
  • Corresponding Author (2)
    Aboalhassan Hosseini
    Associate Professor business administration group, University of Mazandaran, Babolsar, Iran
    Hosseini، Aboalhassan
  • Author (3)
    Jamal Ghasemi
    Associate Professor Faculty of Engineering & Technology, University of Mazandaran, Babolsar, Iran
    Ghasemi، Jamal
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شده‌است. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)