• May 03, 2016 News! IJIET Vol. 5, No. 10 has been indexed by EI (Inspec).   [Click]
  • Mar 13, 2017 News!Vol. 7, No. 5 has been indexed by Crossref.
  • Mar 10, 2017 News!Vol. 7, No. 5 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
University of South Australia, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the filed of information and education technology.
IJIET 2015 Vol.5(3): 165-169 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.496

Employees’ Educational Composition and Firm’s Learning: Evidence from Manufacturing Industries in Iran

Mohammad Ali Feizpour, Mansour Mahinizadeh, Marjan Habibi, and Wen-Shai Hung
Abstract—Learning can be analyzed at the individual level in addition to firm’slevel.But,with a closer look, learning by firms depends on the composition of employees which can be apart in terms ofeducational levels. In Iran, educational level of manufacturing firms is divided to seven groups, includingilliterate, not holding high school diploma, holding high school diploma, associate, bachelor, master and doctorate. In this regards, with combining these levels, two groups of higher education and non-higher education can be obtained and solearning is expected to be diverse in these two groups.Accordingly, this article focuses on investigating the effect of higher education level on learning, using data in the Non-metallic mineral products manufacturingfirms as one of the main manufacturing industries in Iran. With investigating two distributions, lognormalandPareto, the results of this study have shown that a certain threshold of percentage of higher educated employees for affecting on firm learning is needed. In particular, firms with more than 30 percent of employees affects firm’s learning and follows Pareto distribution.From policy point of view, this finding indicates that soft business support, instead of hard business support, including employee’s education can be considered as one of the most industrial policy in the case of developing countries.

Index Terms—Employees education composition, pareto distribution, firm’s learning, manufacturing industries, Iran.

Mohammad Ali Feizpour, Mansour Mahinizadeh, and Marjan Habibiare are with the Department of Economics, Business School, Yazd University, Yazd, Iran (e-mail: m.a.feizpour@yazduni.ac.ir, m.habibi@stu.yazd.ac.ir).
Wen-Shai Hung is with the Department of Business Administration, Providence University, Taiwan (e-mail: wshung@pu.edu.tw).

[PDF]

Cite: Mohammad Ali Feizpour, Mansour Mahinizadeh, Marjan Habibi, and Wen-Shai Hung, "Employees’ Educational Composition and Firm’s Learning: Evidence from Manufacturing Industries in Iran," International Journal of Information and Education Technology vol. 5, no. 3, pp. 165-169, 2015.

Copyright © 2008-2016. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net