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008			230531b |||||||| |||| 00| 0 eng d
040			_cSTCPL
041			_aENG
100			_aGanesh Dash
100			_aSyed Akmal
100			_aDebarun Chakraborty
245			_aA study on adoption of Mobile Learning Apps (MLA) : Development of an integrated framework in a multinational context
246			_aMARK _fVol.53; No.5 - _gMay 2023 _hpp. 8-23
520			_aPurpose: In this study, we provided an integrated framework to assess the determinants of intention to adopt and recommend mobile learning apps (MLA) in an emerging economy context. Methodology: We integrated diffusion of innovation (DOI) & DeLone and McLean’s information systems success model (D&M ISS Model). Four independent measures, compatibility, complexity, system quality, and information quality, were taken from the mentioned theories. Intention to adopt and intention to recommend are the dependent constructs. Intention to adopt also plays the role of mediator. Three hundred seventy-two participants from Saudi Arabia and India were included in the survey. Partial least squares (PLS) structural equation modeling (SEM) was used for the analysis. Findings: The results suggested that all the antecedents influenced the intention to adopt and recommend except for compatibility. Compatibility affected adoption intention only. The intention to adopt had a substantial impact on the recommendation intention. It also successfully mediated all the proposed relationships. In addition, a multi-group analysis (MGA) was also conducted to have country-specific results. Originality: We provided a new, comprehensive, and integrated model to assist learning app companies in implementing new technology. Two significant theories were integrated to provide a holistic and futuristic framework
630			_aEDU
650			_aCompatibility
650			_aComplexity
650			_aSystem quality
650			_aInformation quality
650			_aIntention to adopt
650			_aIntention to recommend
650			_aSaudi Arabia
650			_aIndia
856			_uDOI: 10.17010/ijom/2023/v53/i5/172724
942			_cARTICLE
942			_2ddc
942			_2ddc _n0
999			_c78992 _d78992