The Antecedents of the Consumers' Mobile Learning Intention during the Covid-19 Pandemic

Abstract

Abstract
 Purpose Covid-19, which affects the whole world, has caused serious changes in many aspects such as lifestyle, habits and purchasing behaviour. New digital consumers and companies that emerged during the epidemic; they realized that mobile devices, especially mobile phones, have become a solution to many real-world problems such as learning and education anytime and anywhere. This study aims to determine the factors affecting the users' mobile learning (m-learning) usage intention during the Covid-19 pandemic process.
 Design/methodology/approach – This study contributed to the confirmation of the extended TAM model for a mobile device. The sample of the questionnaire is 460 students from different universities in Turkey. These data obtained were analyzed with the Structural Equation Model (SEM) and LISREL program was used for data analysis.
 Findings – This study proffers a model that the antecedents of the users' mobile learning intention during the Covid-19 pandemic. According to the results of the study, it was concluded that the factor affecting the users' mobile learning (m-learning) intention to use the most is perceived ease of use, the least effective factor is intrinsic leisure motivation, and the future anxiety factor has a meaningless effect.
 Originality/value – A holistic view of the antecedents of the users' mobile learning intention during the Covid-19 pandemic would be of important use to practitioners and academics alike. This study is different from previous studies; It is thought that it will contribute to the literature by addressing the effects of internal leisure motivation, future anxiety, behavioural spread and system-service quality dimensions on m-learning. For the researchers, this study took an important step towards explaining the m-learning relationship with students' intrinsic leisure motivation, future anxiety, behavioural spread, and system-service quality learning perspectives.
 Keywords Mobile learning, Mobile CRM, Technology Acceptance Model

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“…Although developed only recently, the DFS has already been applied in different populations, including samples from Poland (Duplaga & Grysztar, 2021;Sobol et al, 2020), Italy (Rapelli et al, 2021;Scandurra et al, 2021), Germany (Dadaczynski et al, 2021), Canada (Watson, 2020), Turkey (Armağan & Durukal, 2021), and other Asian countries, namely Iran, China, the Philippines, and Singapore (Leung et al, 2021;Shabahang et al, 2021). It has also been used in a cross-national study involving emerging adults from China, Italy, Lithuania, Portugal, Slovenia, and the USA (Lanz et al, 2021).…”