design a causal model of factors affecting the transmission of perceived e-learning among employees of power distribution companies in the south and southwest of the country

Subject Areas : Education

mehdi forouzanfar ¹ (PhD Student in Distance Education Planning, Payame Noor University, Tehran, Iran & Director of Management Development Office of Shiraz Electricity Distribution Company)
mohammad hasan seyf ² (Associate Professor, Faculty of Psychology and Educational Sciences, Payame Noor University, Tehran, Iran)
mohammad reza sarmadi ³ (Professor, Faculty of Psychology and Educational Sciences, Payame Noor University, Tehran, Iran)
saeed talebi ⁴ (Assistant Professor, Faculty of Psychology and Educational Sciences, Payame Noor University, Tehran, Iran)

Received: 2020-07-29 Accepted : 2020-12-21 Published : 2022-01-21

Keywords: Learning transfer, perceived e-learning, Power distribution,

Abstract :

Introduction: In recent years, the transfer of learning to the workplace has been proposed as an important measure of success in training courses. The aim of this study was to design a causal model of factors affecting the transmission of perceived e-learning among employees of power distribution companies in the south and southwest of the country.
research methodology: This research was applied in terms of the purpose of research and descriptive-survey in terms of research method and correlational with emphasis on structural equations. The statistical population of the study included all employees of power distribution companies in the south and southwest of the country was 1400 people, of which 384 people were considered as a sample size using multi-stage cluster random sampling method. Based on Organizational Learning Culture Questionnaires (Marsik and Watkins, 2003), Learning Transfer System (Halton and Bates, 2000), Perceived Transfer Ease (Hasvolo, 2004), Ajan and Hartshorn (2008), Intention to Transfer (Sami Neto), 2009), cognitive absorption (Agarwal and Karahana, 2000), perceived transfer pleasure (Nasura and Weslow, 2012) and perceived transfer utility (Kim et al., 2007). Data analysis was performed using SPSS and LISREL software.
Findings:
The results showed that the proposed model has a good fit and can be generalized to the research community and all components of the proposed model are statistically significant. Also, all research hypotheses were confirmed and in the proposed model, 0.49% of the variance of perceived learning transfer is explained by research variables.
Conclusion:
The highest amount of variance explained in this model is related to the transfer of perceived learning (50%) and the lowest amount of variance explained in the general model is related to the transfer motivation (13%).

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