Mohd. Noor, Azizi and Nik Mahmood, Nik Hasnaa and Wan Zakaria, Wan Normeza (2021) The impact of mobile learning application through intention to use on employees skill usage. International Journal of Academic Research in Business and Social Sciences, 11 (11). pp. 342-361. ISSN 2222-6990
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Official URL: http://dx.doi.org/10.6007/IJARBSS/v11-i11/11216
Abstract
The learning delivery mechanism has evolved. The two most prevalent delivery modalities are instructor-led and self-paced. Self-learning tools include e-learning, online learning, and even mobile learning. Mobile learning is the latest trend in many industries and areas. Mobile device technologies are constantly developing, leading to increased usage. Mobile devices as learning tools have become a new corporate training delivery method. A similar learning tool is used by Telekom Malaysia (TM) organization. This study examined the impact of mobile learning applications on Telekom Malaysia employees' skill usage. This study has four goals. Hypotheses based on TAM and Kirkpatrick Evaluation Model have been generated for testing. Data were collected via questionnaires. The questionnaire has four primary study variables: perceived ease of use (PEOU), perceived usefulness (PU), intention to use (ITU), and skills. The surveys were given to executives and non-executives at Telekom Malaysia in Klang Valley, Malaysia. The study employed 137 completed questionnaires. The analysis uses SmartPLS 3 and IBM SPSS Statistics 26. The findings demonstrated that perceived ease of use, usefulness, and intention to use influenced TM employee skill usage. Intention to Use (ITU) mediated the link between perceived ease of use and perceived usefulness with TM employee skill usage. This study has contributed to both theoretical and practice.
Item Type: | Article |
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Uncontrolled Keywords: | mobile learning, intention to use, technology acceptance model (TAM), skill usage |
Subjects: | H Social Sciences > H Social Sciences (General) T Technology > T Technology (General) > T58.5-58.64 Information technology |
Divisions: | Razak School of Engineering and Advanced Technology |
ID Code: | 96846 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 28 Aug 2022 02:26 |
Last Modified: | 28 Aug 2022 02:26 |
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