DocumentCode :
259106
Title :
An Analysis of the Technology Acceptance Model in Understanding Students´ Behavioral Intention to Use University´s Social Media
Author :
Tantiponganant, Poom ; Laksitamas, Prin
Author_Institution :
Doctor of Bus. Adm. Program, Siam Univ., Bangkok, Thailand
fYear :
2014
fDate :
Aug. 31 2014-Sept. 4 2014
Firstpage :
8
Lastpage :
12
Abstract :
Many universities implement social media for various reasons. It is obvious that the number of social media opportunities provided by universities continue to grow in Thailand. Recently, universities have begun incorporating these social media tools such as Facebook and Line into their marketing mix to connect with everyone, from prospective students to alumni. However, little reliable research existed to indicate whether these tools were an appropriate or effective recruitment resource for universities to use. A sample of 350 freshmen university students took part in the research. The Structural Equation Modeling (SEM) was employed to explain the adoption process. The proposed model was developed based on the technology acceptance model (TAM). The result showed that TAM and SEM were efficient theoretical tools to understand students´ acceptance of social media.
Keywords :
behavioural sciences; educational administrative data processing; educational institutions; social aspects of automation; social networking (online); Facebook; Line; SEM; TAM; Thailand; adoption process; freshmen university students; marketing mix; recruitment resource; social media tools; structural equation modeling; students acceptance; students behavioral intention; technology acceptance model; universities; Educational institutions; Facebook; Mathematical model; Media; Recruitment; Reliability; Self-efficacy; Social Media; Stuctural Equation Modeling; Subjective Norm; Technology Acceptance Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-4174-2
Type :
conf
DOI :
10.1109/IIAI-AAI.2014.14
Filename :
6913258
Link To Document :
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