Technology Based Model of a Mobile Knowledge as a Service to Facilitate Education Community

Authors

  • Ashraf Badawood College of Business, MIS, University of Jeddah, Jeddah, Saudi Arabia
  • Hamad AlBadri College of Business, MIS, University of Jeddah, Jeddah, Saudi Arabia

DOI:

https://doi.org/10.3991/ijim.v15i24.27335

Keywords:

M-learning, Mobile Technology, Knowledge Management, Performance Expectancy, Effort Expectancy

Abstract


Technological enhancements as well as the demand of students to access learning information on time and quickly has resulted to the development of e-learning across the world. Mobile learning has been adopted by most learning institution as a mobile technology that allows learners to access learning materials and share information among themselves and respective educators easily and quickly. This article discusses the intention of users in learning environment adopting m-learning, their perceptions as well as factors that hinder implementation of m-learning in the gulf region. Effective mobile technology adoption also enhances knowledge management through mobile applications that allow information capture, storage, retrieval and sharing.  This study uses systematic literature review to collect information from post 2017 studies previous conducted by other researchers. Articles were searched through highly ranked databases from which 657 journals were identified. After the screening and eligibility assessment, 24 journals were retrieved. The back and forward search retrieved 4 more journals bringing the total to 28 journals that were included in the study. Based on this information, a conceptual model is developed to help assess the m-learning perceptions, adoption intentions and factors influencing its adoption among learning institutions in the gulf region. This model is built based on the Theory of Planned Behavior and Unified Theory of Acceptance and Use of Technology. Based on the developed model, main constructs such as performance expectancy, effort expectancy and social influence are greatly impacted by other factors like learner’s creativity and mobility.

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Published

2021-12-21

How to Cite

Badawood, A., & AlBadri, H. (2021). Technology Based Model of a Mobile Knowledge as a Service to Facilitate Education Community. International Journal of Interactive Mobile Technologies (iJIM), 15(24), pp. 49–60. https://doi.org/10.3991/ijim.v15i24.27335

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Papers