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Ali Ehsani

Ali Ehsani

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0001-7873-5371
Education: PhD.
ScopusId: 57210832305
HIndex:
Faculty: Economic and Administrative Sciences
Address: Arak University
Phone: 08632629306

Research

Title
A new model for analyzing the role of new ICT-based technologies on the success of employees' learning programs
Type
JournalPaper
Keywords
Human resources, Employees, Cloud computing, E-learning program, ICT-based technologies
Year
2021
Journal KYBERNETES
DOI
Researchers Amir Masoud Rahmani ، Ali Ehsani ، Mokhtar Mohamadi ، Adil hussein Mohamad ، Sarkhel Taher Karim ، Mahdi Hoseinzadeh

Abstract

Purpose The concept of e-learning is essential in employee education since it provides different ways to develop employees' knowledge, skills and attitudes using modern technologies. E-learning has been overgrowing in employee education because learning can be held anytime and anywhere. In order to succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address the factors affecting its success. This paper aims to test the role of internet of Things (IoT)-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework. Design/methodology/approach E-learning systems receive ever-increasing attention in academia, business and public administration. With the development of e-learning, employee education has also benefited from its capacities in various fields. To succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address its success. The proposing of Information and Communications Technology (ICT)-based technologies such as the IoT, cloud, etc., in e-learning, can help transform education. Therefore, this paper aims to test the role of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework. The research model and the data collected from the questionnaires have been analyzed via Smart PLS 3.2. This study has utilized the SEM to evaluate the causal model's reliability and validity based on measurement. According to the literature in this study, a framework has been proposed that examines the impact of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on employees' learning programs' suc