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      Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos

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      Information Development
      SAGE Publications

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          Abstract

          This study is motivated by the initiative to implement mobile learning to promote world heritage site awareness among young adults living in the world heritage town of Luang Prabang in the Lao People’s Democratic Republic (PDR). Mobile learning is still in its infant stage in Laos. The objective of this study is to investigate the drivers of mobile learning acceptance among young adults in Luang Prabang. Structural equation modeling analysis based on 349 students of higher education indicates that perceived usefulness, perceived ease of use, and perceived enjoyment directly affected their behavioral intention to use mobile learning. Social influence and self-efficacy indirectly affected mobile learning acceptance through perceived usefulness and perceived ease of use respectively. Findings from this study yield insights for policy recommendations for mobile learning implementation in Luang Prabang, and also contribute to the understanding of mobile learning acceptance from the perspectives of a least developed country.

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          Most cited references59

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          Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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            User Acceptance of Information Technology: Toward a Unified View

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              Self-efficacy: Toward a unifying theory of behavioral change.

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                Author and article information

                Journal
                Information Development
                Information Development
                SAGE Publications
                0266-6669
                1741-6469
                January 2017
                July 09 2016
                January 2017
                : 33
                : 1
                : 57-71
                Affiliations
                [1 ]Tokyo Institute of Technology
                Article
                10.1177/0266666916638136
                fe280b2f-0968-4a70-9f64-6f33e76bc2c3
                © 2017

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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