Technology Acceptance Model in M-learning context: A systematic review

Various review studies were conducted to provide valuable insights into the current research trend of the Technology Acceptance Model (TAM). Nevertheless, this issue still needs to be investigated from further directions. It has been noticed that research overlooks the investigation of TAM with rega...

Full description

Bibliographic Details
Main Authors: Al-Emran, Mostafa, Mezhuyev, Vitaliy, Adzhar, Kamaludin
Format: Article
Language:English
Published: Elsevier 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22323/1/Technology%20Acceptance%20Model%20in%20M-learning%20context%20A%20systematic%20review.pdf
_version_ 1825812275516145664
author Al-Emran, Mostafa
Mezhuyev, Vitaliy
Adzhar, Kamaludin
author_facet Al-Emran, Mostafa
Mezhuyev, Vitaliy
Adzhar, Kamaludin
author_sort Al-Emran, Mostafa
collection UMP
description Various review studies were conducted to provide valuable insights into the current research trend of the Technology Acceptance Model (TAM). Nevertheless, this issue still needs to be investigated from further directions. It has been noticed that research overlooks the investigation of TAM with regard to Mobile learning (M-learning) studies from the standpoint of different perspectives. The present study systematically reviews and synthesizes the TAM studies related to M-learning aiming to provide a comprehensive analysis of 87 research articles from 2006 to 2018. The main findings include that most of the TAM studies involving M-learning focused on extending the TAM with external variables, followed by the studies that extended the model by factors from other theories/models. In addition, the main research problem that was frequently tackled among all the analyzed studies was to examine the acceptance of M-learning among students. Moreover, questionnaire surveys were the primarily relied research methods for data collection. Additionally, most of the analyzed studies were undertaken in Taiwan, this is followed by Spain, China, and Malaysia, respectively among the other countries. Besides, most of the analyzed studies were frequently conducted in humanities and educational context, followed by IT and computer science context, respectively among the other contexts. Most of the analyzed studies were carried out in the higher educational settings. To that end, the findings of this review study provide an insight into the current trend of TAM research involving M-learning studies and form an essential reference for scholars in the M-learning context.
first_indexed 2024-03-06T12:26:45Z
format Article
id UMPir22323
institution Universiti Malaysia Pahang
language English
last_indexed 2024-03-06T12:26:45Z
publishDate 2018
publisher Elsevier
record_format dspace
spelling UMPir223232018-10-05T06:33:59Z http://umpir.ump.edu.my/id/eprint/22323/ Technology Acceptance Model in M-learning context: A systematic review Al-Emran, Mostafa Mezhuyev, Vitaliy Adzhar, Kamaludin QA75 Electronic computers. Computer science Various review studies were conducted to provide valuable insights into the current research trend of the Technology Acceptance Model (TAM). Nevertheless, this issue still needs to be investigated from further directions. It has been noticed that research overlooks the investigation of TAM with regard to Mobile learning (M-learning) studies from the standpoint of different perspectives. The present study systematically reviews and synthesizes the TAM studies related to M-learning aiming to provide a comprehensive analysis of 87 research articles from 2006 to 2018. The main findings include that most of the TAM studies involving M-learning focused on extending the TAM with external variables, followed by the studies that extended the model by factors from other theories/models. In addition, the main research problem that was frequently tackled among all the analyzed studies was to examine the acceptance of M-learning among students. Moreover, questionnaire surveys were the primarily relied research methods for data collection. Additionally, most of the analyzed studies were undertaken in Taiwan, this is followed by Spain, China, and Malaysia, respectively among the other countries. Besides, most of the analyzed studies were frequently conducted in humanities and educational context, followed by IT and computer science context, respectively among the other contexts. Most of the analyzed studies were carried out in the higher educational settings. To that end, the findings of this review study provide an insight into the current trend of TAM research involving M-learning studies and form an essential reference for scholars in the M-learning context. Elsevier 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22323/1/Technology%20Acceptance%20Model%20in%20M-learning%20context%20A%20systematic%20review.pdf Al-Emran, Mostafa and Mezhuyev, Vitaliy and Adzhar, Kamaludin (2018) Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 125. pp. 389-412. ISSN 0360-1315. (Published) https://doi.org/10.1016/j.compedu.2018.06.008 doi: 10.1016/j.compedu.2018.06.008
spellingShingle QA75 Electronic computers. Computer science
Al-Emran, Mostafa
Mezhuyev, Vitaliy
Adzhar, Kamaludin
Technology Acceptance Model in M-learning context: A systematic review
title Technology Acceptance Model in M-learning context: A systematic review
title_full Technology Acceptance Model in M-learning context: A systematic review
title_fullStr Technology Acceptance Model in M-learning context: A systematic review
title_full_unstemmed Technology Acceptance Model in M-learning context: A systematic review
title_short Technology Acceptance Model in M-learning context: A systematic review
title_sort technology acceptance model in m learning context a systematic review
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/22323/1/Technology%20Acceptance%20Model%20in%20M-learning%20context%20A%20systematic%20review.pdf
work_keys_str_mv AT alemranmostafa technologyacceptancemodelinmlearningcontextasystematicreview
AT mezhuyevvitaliy technologyacceptancemodelinmlearningcontextasystematicreview
AT adzharkamaludin technologyacceptancemodelinmlearningcontextasystematicreview