Title : ( The impact of e-learning through social networks on performance of employees in Irans customs )
Authors: kamyar esmaeili , Azar Kaffashpoor ,Access to full-text not allowed by authors
Abstract
Education and learning by social networks as a new paradigm transformed this field. Educational methods of learning through cyberspace are in a way that make learning more interesting, more motivating, exciting, and meaningful, and involve the individual’s body, soul, and mind in the learning process; provide basic and primary skills to employees; and prepare them to deal with the problems they will face in future. The present study aimed to investigate the effect of e-learning through social networks on performance of employees in customs of Khorasan Razavi province in Iran. The statistical population of this study includes all employees of the Customs House of Khorasan Razavi province who work in a central office and 9 affiliated offices. Using Morgan’s sample size estimation table, 250 people were selected as the statistical sample. A questionnaire was used to collect the data. Structural equation method has also been used for data analysis. The results suggested that social networks mediate the relationship between e-learning and employee performance.
Keywords
, learning through cyberspace, employee performance, customs of Khorasan Razavi province@article{paperid:1084267,
author = {Kamyar Esmaeili and Kaffashpoor, Azar},
title = {The impact of e-learning through social networks on performance of employees in Irans customs},
journal = {International Journal of Procurement Management},
year = {2020},
volume = {1},
number = {1},
month = {January},
issn = {1753-8432},
pages = {1--22},
numpages = {21},
keywords = {learning through cyberspace; employee performance; customs of Khorasan Razavi province},
}
%0 Journal Article
%T The impact of e-learning through social networks on performance of employees in Irans customs
%A Kamyar Esmaeili
%A Kaffashpoor, Azar
%J International Journal of Procurement Management
%@ 1753-8432
%D 2020