NDLI: Behavioral Intention to Continue Using a Library Mobile App

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Computer Modeling in Engineering & Sciences (CMES)

Computer Systems Science and Engineering (CSSE)

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Behavioral Intention to Continue Using a Library Mobile App

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Behavioral Intention to Continue Using a Library Mobile App

Content Provider	Tech Science Press
Author	Liu, H. Zhou, Y. Liu, Z. H. Ming, J. R. Zhang, X. Liu, Z. Ming, J.
Abstract	To meet the needs of today’s library users, institutions are developing library mobile apps (LMAs), as their libraries are increasingly intelligent and rely on deep learning. This paper explores the influencing factors and differences in the perception of LMAs at different time points after a user has downloaded an LMA. A research model was constructed based on the technology acceptance model. A questionnaire was designed and distributed twice to LMA users with an interval of three months to collect dynamic data. The analysis was based on structural equation modeling. The empirical results show that the perceived ease of use, the perceived usefulness, the social influence, and the facilitating conditions affected the users’ behavioral intention, but their impacts were different at different times. As the usage time increases, the technology acceptance model is still universal for understanding the user perception of LMA. In addition, two extended variables (social impact and convenience) also affect the user’s behavior intention. User behavior is dynamic and changed over time. This study is important both theoretically and practically, as the results could be used to improve the service quality of LMAs and reduce the loss rate of users. Its findings may help the designers and developers of LMAs to optimize them from the perspective of a user and improve the service experience by providing a deeper understanding of the adoption behavior of information systems by LMA users.
Related Links	https://www.techscience.com/csse/v46n1/51310
Starting Page	357
Ending Page	369
ISSN	02676192
DOI	10.32604/csse.2023.033251
Issue Number	1
Journal	Computer Systems Science and Engineering (CSSE)
Volume Number	46
Language	English
Publisher Date	2023-01-20
Access Restriction	Open
Subject Keyword	user perception information system adoption Library mobile app technology acceptance model behavioral intention
Content Type	Text
Resource Type	Article
Subject	Computer Science

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