Factors That Influence Mobile Learning Acceptance in Higher Education Institutions in Dubai

Abstract

Many studies have scrutinised the benefits of m-learning. Somehow, it is still necessary to comprehend the dissatisfaction of certain learners towards m-learning experience. Thus, this research aims to investigate the factors that might impact the acceptance of m-learning among university students: quality of service, uncertainty avoidance and trust. Portability and access to countless activities are among the advantages of mobile devices, and these foster and ease ubiquitous learning. This study scrutinises the theories and cognitive techniques to offer individualised, motivated and valuable experience of mobile education for transfer to the subsequent word learning and reading comprehension. As surveys and forms are the data sources, the quantitative methodologies are employed. Twenty six (26) items from diverse research domains were constructed in the questionnaire to measure six constructs, and undergraduate and postgraduate students of the university in Doubi were selected as respondents. Two hundred (395) completed questionnaires were obtained. Further, the modified acceptance framework on TAM and IDT theories is adopted to identify the influencing factors of students' intention to use m-Learning. Also, eight hypotheses were formulated to analyse the linkages between the factors in the proposed model. Most positive correlation between quality of service, student readiness, trust, compatibility, perceived ease of use, perceived usefulness and behavior intention to use M-Learning by empirical data. This study looks into a timely topic of integrating a mobile device amongst students at higher education in Dubai. Several crucial implications for the students are highlighted in this study.

The Moderating Effects of Gender on Factors Affecting the Intention to Use Mobile Learning

“…of the effect was -0.256, which is less than 1.96, and the p-value was 0.798, which is greater than 0.05, indicating that the influence of quality of service on intention to use mobile learning among Iraqi universities was not significant, thus providing no evidence to support the fourth research hypothesis. Clearly, this finding conflicts with those of other studies, which revealed that service quality had a moderate impact on the intention to utilize mobile learning (Almaiah & Alismaiel, 2019) and was a deciding factor for that intention (Abu-Al-Aish & Love, 2013;Al-Zoubi, 2016;Chong et al, 2011;Park et al, 2012;Ramayah et al, 2010).…”

The Impact of National Culture Dimensions on the Adoption of Cross-Border E-Commerce

“…Thefindingsonthesignificantimpactofperformanceexpectancy,effortexpectancyandsocial influenceontheintentiontousecross-bordere-commerceisconsistentwithothersimilarfindings whichshowedthatperformanceexpectancy,effortexpectancy,andsocialinfluenceweresignificant in determining the behavioral intention to use e-commerce (Al-Zoubi, 2016;Chou et al, 2018;Guzzo,Ferri,&Grifoni,2016;Musleh,Marthandan,&Aziz,2015).Thenon-significantimpactof facilitatingconditionsontheintentiontousecross-bordere-commerceinthecontextoftheChinese studentsisinlinewithpreviousstudies(Muslehetal.,2015)butdoesnotsupportotherfindingswhich showedFCisasignificantdeterminantoftheintentiontousecross-bordere-commerce(Al-Zoubi, 2016).However,thesignificantimpactofFContheintentiontousecross-bordere-commerceisin linewithotherstudieswhichalsodemonstratedthatfacilitatingconditionisapositivepredictorof theintentiontousecross-bordere-commerce.Also,thesignificantimpactofintentiontousecrossbordere-commerceontheintentiontorecommendsupportsotherfindingsthattheintentiontouse isapredictoroftheintentiontorecommend (Oliveiraetal.,2016).…”

“…Theobjectiveofthiscurrentstudyistoexplorethecomparativestudyoftheimpactofnational culturedimensionsontheadoptionofcross-bordere-commercefromtheperspectiveofChinese andRussiannationals.Thiscomparativeanalysiswasdonebyintegratingtheculturaldimensions suchaspowerdistance,collectivism,uncertaintyavoidance,masculinity,andlong-termorientation intotheUTAUTmodel.WhileotherstudieshaveexaminedECadoptionstudiesusingtheUTAUT model (Al-Zoubi, 2016;Goswami & Dutta, 2017;Min, Ji, & Qu, 2008;Yoboue, Yi, & Antwi, 2018),nostudysofarastheliteratureisconcernedhasvalidatedthedirectimpactofthesecultural dimensionsonthemainfourconstructs(performanceexpectancy,effortexpectancy,socialinfluence andfacilitatingconditions)oftheUTAUTinthecontexte-commerceandcross-bordere-commerce adoption.Hencethisstudyattemptstocontributetothecross-bordere-commerceadoptionliterature byempiricallytestingthehypothesizedimpactofpowerdistance,collectivism,uncertaintyavoidance, masculinity,andlongtermorientationrespectivelyonperformanceexpectancy,effortexpectancy, socialinfluenceandfacilitatingconditions.Thequestionstobeexploredare:1)whatfactorsdetermine theadoptionofcross-bordere-commerceinthecontextofChineseandRussiancitizens?2)Whatis thesignificantimpactofthesefactorsontheadoptionofcross-bordere-commerceand3)arethere significantdifferencesandsimilaritiesbetweenthesetwosamplestowardstheadoptionofcrossbordere-commerce?…”

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

“…There are plenty studies in marketing literature about behavioural intention and use in using m-learning [26]; [12]; [5]; [25]; [2]; [6]; [1]; [42]; [30]; [16]; [11]; [8]; [44]; [13]; [37]; [43]; [27]; [38]; [9]; [23]; [22]; [47]; [4]; [14]; [3]; [48]; [10]; [51]; [34]; [31]; [53]. In these studies, the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Unified Theory of Acceptance and Use of Technology (UTAUT2) are generally used as basic models.…”