Mingli Zhang
ABSTRACT
Mobile library as a new type of information service mode has developed rapidly in China. However, specifically, its penetration to users is quite low. Based on technology acceptance model (TAM) and combined with the information system success model (ISSM), this project analyzes the influence factors of user adoption intention to university mobile library in China. TAM and ISSM are integrated together by the two variables of 'perceived usefulness' (PU) and 'perceived ease of use' (PE), which creates a new model in order to study the influence factors of user adoption intention in university mobile library of China. By taking the method of structural equation model, this paper discusses empirically how the six factors impact service attitude and behavioral intention through investigating the attitude preference of using mobile application technology, in which the six factors include science interest (SI), perceived usefulness (PU), perceived ease of use (PE), information quality (IQ), system quality (SQ) and user satisfaction (US). Last but not least, it gives suggestions and the further research directions at the end of paper.
- Porth C, May KE. 1971. The mobile library cart: practical aid to learning, Nurs Outlook, 19(Nov. 9): 602--603.Google Scholar
- Nor Shahriza Abdul Karim, Siti Hawa Daris. 2006. Mobile phone applications in academic library services:a students' feedback survey.Campus-Wide Information Systems, 23(Nov. 2006):35--51.Google Scholar
- Dane M.Ward. 2006. The Changing Role OF Mobile Libraries in Africa. Intl. Inform. & Libr. Rev. 8(Nov. 28):121--133Google Scholar
Index Terms
- The Influence Factors of User Adoption Intention to University Mobile Library in China: An Empirical Study Based on the TAM and ISSM
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