Feasibility of E-learning management system for the staff of Tehran Municipality

• Main Authors: M. Talebzadeh Nobarian, F. Nasiri, B. Mirafshar
• Format: Article
• Language: English
• Published: Tehran Muncipality 2016-10-01
• Series: International Journal of Human Capital in Urban Management
• Subjects: Comprehensive system; Electronic content; Electronic-learning system; In-service Training; Multiple regressions
• Online Access: http://www.ijhcum.net/article_24506_a3c5bf95d34e31c6ca2d549b87688a52.pdf
• ISSN: 2476-4698; 2476-4701

Empowering employees in specialized and general qualifications fields is required for urban management organization (Tehran Municipality). Planning and establishment of comprehensive system of electronic learning is considered the main goal of human resource and educational managers. . This study tried to investigate the feasibility and execution of electronic learning courses for in-service staff. Training system for in-service staff is the most effective method in educating staff. Implantation of the system includes five necessary variables such as, hardware, software, electronic content, human resources and cultural proceedings. Initially, the main variables and the associated data of 550 people were recorded in the Likert-type scale through the information on the questionnaires. Then correlation analysis, variance and multiple regressions were performed. Description of data containing the collection of general characteristics of respondents, including managers, expertise of human resource and educational managers of Tehran municipality were summarized. The results indicated that the correlation coefficient of variables was R = 0.804 which represents the total correlation of the model. The next output showed the certainty of a linear relationship between the variables through analysis of variance. Then according to the standardized regression coefficients and the initial linear regression equation, the model with five variables was drawn and the effectiveness of each of the variables on the dependent variable (the deployment of Electronic-learning system) was examined and interpreted.