Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)

This paper uses the Technology Acceptance Model (Davis, 1989) to predict SMS usage amongst university students who form the biggest user of this service.TAM proposes that two constructs ie; perceived ease of use and perceived usefulness will influence the acceptance of a technology. Data was collec...

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Main Authors: Ramayah, T., --, Yulihasri, Ibrahim, Amlus, Jamaludin, Norzalila
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/4230/1/T.pdf
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author Ramayah, T.
--, Yulihasri
Ibrahim, Amlus
Jamaludin, Norzalila
author_facet Ramayah, T.
--, Yulihasri
Ibrahim, Amlus
Jamaludin, Norzalila
author_sort Ramayah, T.
collection UUM
description This paper uses the Technology Acceptance Model (Davis, 1989) to predict SMS usage amongst university students who form the biggest user of this service.TAM proposes that two constructs ie; perceived ease of use and perceived usefulness will influence the acceptance of a technology. Data was collected from 90 students from a public university with the use of a structured self-administered questionnaire. The findings of the study indicate that both perceived ease of use (β=0.191, p<0.05) and perceived usefulness (β=0.276, p<0.01) are positively related to usage. Furthermore, it was found that the impact of perceived ease of use on usage is partially mediated by perceived usefulness.Perceived usefulness was more influential in predicting usage as compared to ease of use.Thus it can be concluded that the use of SMS is influenced to a larger extent by the utility of the service and to a lesser extent the ease of use of the service.
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spelling uum-42302011-12-26T08:39:07Z https://repo.uum.edu.my/id/eprint/4230/ Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM) Ramayah, T. --, Yulihasri Ibrahim, Amlus Jamaludin, Norzalila QA76 Computer software T Technology (General) This paper uses the Technology Acceptance Model (Davis, 1989) to predict SMS usage amongst university students who form the biggest user of this service.TAM proposes that two constructs ie; perceived ease of use and perceived usefulness will influence the acceptance of a technology. Data was collected from 90 students from a public university with the use of a structured self-administered questionnaire. The findings of the study indicate that both perceived ease of use (β=0.191, p<0.05) and perceived usefulness (β=0.276, p<0.01) are positively related to usage. Furthermore, it was found that the impact of perceived ease of use on usage is partially mediated by perceived usefulness.Perceived usefulness was more influential in predicting usage as compared to ease of use.Thus it can be concluded that the use of SMS is influenced to a larger extent by the utility of the service and to a lesser extent the ease of use of the service. 2006-06-22 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/4230/1/T.pdf Ramayah, T. and --, Yulihasri and Ibrahim, Amlus and Jamaludin, Norzalila (2006) Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM). In: 15th International Conference on Management of Technology (IAMOT 2006), May 22 - 26, 2006, Beijing, P.R. China. (Unpublished) http://www.iamot.org/IAMOT2006/index.html
spellingShingle QA76 Computer software
T Technology (General)
Ramayah, T.
--, Yulihasri
Ibrahim, Amlus
Jamaludin, Norzalila
Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)
title Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)
title_full Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)
title_fullStr Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)
title_full_unstemmed Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)
title_short Predicting short message service (SMS) usage among university students using the technology acceptance model (TAM)
title_sort predicting short message service sms usage among university students using the technology acceptance model tam
topic QA76 Computer software
T Technology (General)
url https://repo.uum.edu.my/id/eprint/4230/1/T.pdf
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