Study on User Acceptance of Digital Signage Augmented Roadshow Using an Extended Technology Acceptance Model

Citation

Tan, Yi Fan and Leow, Meng Chew and Ong, Lee Yeng (2022) Study on User Acceptance of Digital Signage Augmented Roadshow Using an Extended Technology Acceptance Model. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Digital Signage Augmented Roadshow (DiSAR) is a new roadshow framework that uses mainly digital signage to display contents that apply to the theme of the roadshow. However, its acceptance are currently unknown. User acceptance can be measured using Technology Acceptance Model (Davis, 1985). Over the years, there were multiple variants of TAM that uses extensions to better suit measuring specific computerbased information systems in specific contexts.

Item Type: Conference or Workshop Item (Poster)
Uncontrolled Keywords: User acceptance, end user computing, computer science
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 16 Dec 2022 07:30
Last Modified: 16 Dec 2022 07:30
URII: http://shdl.mmu.edu.my/id/eprint/10895

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