Predicting users' intention towards using library self-issue and return systems

Siti Nadhirah Mohmed Razip, and Siti Fatnin Abdul Kadir, and Siti Nur Aishah Saim, and Farah Nadia Mohd Dolhan, and Nurshamimi Jarmil, and Nurul Hasanah Md Salleh, and Grunsin Rajin, (2016) Predicting users' intention towards using library self-issue and return systems. Handbook of Research on Leveraging Consumer Psychology for Effective Customer Engagement. pp. 102-115.

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Abstract

This study aims to examine users' acceptance of library self-issue and return system by integrating Theory of Planned Behaviour (TPB)/Technology Acceptance Model (TAM) as the guiding principle. The research used a multiple regression for data analysis across a sample of 238 students. Their participation was purely voluntary. Empirical analysis confirmed that student's intention to use the library self-service by behavioural intentions and perceived usefulness. However, the subjective norm was found to be not significantly related to library self-issues and return system. This empirical results may benefit to the students and the librarians involved in self-issue and return system in library. The librarian could avoid a long queue of students in the library. For the students, they will be able to save time on borrowing or retuning the materials. This research offers a new findings compare to the previous study, where this research focus on undergraduate students in Malaysia. Next, the proposed framework could be used as a foundation for future research investigating students who had not applied the library self-service respond.

Item Type: Book Chapter
Uncontrolled Keywords: Integrating Theory of Planned Behaviour (TPB), Technology Acceptance Model (TAM), Malaysia , undergraduate students
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: SCHOOL > School of Science and Technology
Depositing User: Noraini
Date Deposited: 06 Jun 2018 03:36
Last Modified: 06 Jun 2018 03:36
URI: http://eprints.ums.edu.my/id/eprint/20156

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