Investigating and Validating the Measurement Model of the Construct of Drivers of Learning Transfer to the Workplace (Case: Employees in a Selected Organization in the Field of Information and Communication Technology)
This research was conducted with the aim of investigating and validating the measurement model of the construct of drivers of learning transfer to the workplace. The research is quantitative in nature, applied in terms of purpose, and descriptive-survey in terms of data collection. The statistical population of this research included the employees of a selected organization in the field of information and communication technology who had participated in the organization's in-service training courses. Using Cochran's formula, 169 employees were selected as a sample by a simple random method. The tool of data collection was a revised Learning Transfer System Inventory and its content validity was determined through experts' opinions and its reliability was determined using Cronbach's alpha coefficient by SPSS 26. The results of the confirmatory factor analysis and the goodness of model fit using Amos 22.0 showed that the measurement model had a good fit. Also, the individual component had the most power to explain the variance of the construct of drivers of learning transfer to the workplace. In the individual, educational and organizational components, respectively, the variables of learner motivation for learning transfer to the workplace, learner satisfaction from educational processes, and colleague support for learning transfer to the workplace had the greatest explanatory power among other variables. It is suggested that the organization takes an approach to getting the support of managers to provide opportunities for employees to transfer what they have learned. In order to develop practical content and increase the satisfaction of the learners, joint meetings between the lecturer and the heads of the departments should be held before the training courses. Also, for reducing learner resistance, endogenous and exogenous sources of resistance to change work methods and processes should be identified.
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Investigating the key environmental factors affecting the system of science, technology, and innovation of Iran’s cyberspace; Application of Cross Impact Analysis
, Mostafa Safdari Ranjbar *
Journal of Information Processing and Management, -
National Division of Labor in the Science, Technology and Innovation System of Iran's Cyberspace; Institutional Mapping Approach
, Mostafa Safdari Ranjbar *
Iranian Journal of Public Policy,