Peyman Rabiei

Peyman Rabiei

Studies Applied for Ph.D. Position

Personal Information

Address6 th Floor, Block 55/155, Ma’ali abad St., Shiraz (Iran) Postal code: 7188634553

Tel : (098)917-120-1814

E-mail : [email protected]

Date of Birth : 21 September 1983

Nationality : Iranian

Work experience

Work experience
May 2011 - Present

Staff Manager

Dadash Baradar (Aidin)

Working as a staff manager in a private company which produces chocolate and distributes its products across the country and also some neighbor countries.

May 2010 - Apr 2011

Web Programmer

Rooyan Pardazesh Pars

Programmer and web developer. Expert in SQL server and PHP.

2006 - 2008


Eram Computer Institute | Bargozideh no Computer Institute

Two years of experience in teaching courses in computer field as a part time job in two computer institute.


Jan 2008 - Jan 2011


Islamic Azad University, Science and Research Branch, Khouzestan

Executive Master of Business Administration

Thesis : "Assessing the Rank of the Golsar Fars Co. in the Stand wash Market in Shiraz by Using of the Fuzzy Logic"

Supervisors : Dr. Bijan Safavi, Dr. Hussein Vazifeh Doost

Overall GPA of 3.5 based on 4 (17.5 based on 20)


  1. Ranked first in university entrance exam for M.A degree in 2008.
  2. In the field of computer science, a book titled as "100 tricks in windows XP registry" is published in 2007.



Mother Tongues


Other Languages

English (Good User) - IELTS overall band score : 7

French (Basic Knowledge)

Computer Skills

Related Softwares to  M.A Degree : Matlab Programming, SPSS, Amos


  1. Eyni, A., Saeedikiya, M., Rabiei, P., & Abbaszadeh, Z. (2012). Organizational position properties and its impact on purchase. Life Science Journal, 9(4), 4654-4659.
  2.    Abbaszadeh, Z., Eyni, A., & Rabiei, P. (2012). The Relationship between Managers’ Competencies and Employees’ Productivity in Fars Chemical Industries Company, Shiraz, Iran. World Applied Sciences Journal, 19(6), 811-817.

Undergoing research projects

Application of an adaptive network-based fuzzy inference system (ANFIS) for the assessment and prediction of organizational commitment and turnover intention in different levels of job satisfaction.


Dr. Bijan Safavi,

Professor Assistant, Department of Management and Economics, Islamic Azad University – South Tehran Branch, Tehran, Iran, Email: [email protected]

Dr. Hussein Vazifeh Doost,

Professor Assistant, Department of Management, Tehran Science and Research branch, Islamic Azad University, Tehran, Iran.