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Abstract
Specificity of communication with devices and applications via touch or peripherals indicates that user interaction and its enjoyment plays an important role in their acceptance. Consequently the study validates interaction’s enjoyment as a set of variables, influence on technology acceptance with proposed model explaining employees’ intention where m-learning use for competences development was chosen as a reference technology. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey from 728 employees from 24 sectors, both public and private. Study results proved that inclusion of interactive enjoyment perspective in technology acceptance models allows to better explain the intention to use a particular technology. Particularly variables such as: user autonomy, system interactivity, system accessibility and system satisfaction occurred to be significant factors influencing m-learning acceptance by employees for knowledge transfer.
Recommended Citation
Kuciapski, Michał, "Interaction Enjoyment Perspective in Explaining Technology Acceptance: a Study of Employees’ Acceptance of M-Learning" (2020). AMCIS 2020 Proceedings. 14.
https://aisel.aisnet.org/amcis2020/sig_hci/sig_hci/14
Interaction Enjoyment Perspective in Explaining Technology Acceptance: a Study of Employees’ Acceptance of M-Learning
Specificity of communication with devices and applications via touch or peripherals indicates that user interaction and its enjoyment plays an important role in their acceptance. Consequently the study validates interaction’s enjoyment as a set of variables, influence on technology acceptance with proposed model explaining employees’ intention where m-learning use for competences development was chosen as a reference technology. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey from 728 employees from 24 sectors, both public and private. Study results proved that inclusion of interactive enjoyment perspective in technology acceptance models allows to better explain the intention to use a particular technology. Particularly variables such as: user autonomy, system interactivity, system accessibility and system satisfaction occurred to be significant factors influencing m-learning acceptance by employees for knowledge transfer.
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