Factors Affecting Technology Acceptance of TRUEID and AISPLAY Applications
Article Sidebar
Main Article Content
Abstract
The purposes of this research was to determine factors affecting technology acceptance of mobile application users on TRUEID and AISPLAY Conceptual framework was based on Theory Reason Action, Technology Acceptance Model, and Network Externality. Stratified random sampling technique was applied to select 442 application users to answer self-reported questionnaire. Data were analyzed by Linear Regression Model. Research findings revealed that factors that significantly affected level of technology acceptance of TRUEID and AISPLAY applications consisted of Perceived Number of Peers, Perceived Number of Cross Platform, Perceived Complement, Perceived Ease of Use, Perceived Usefulness, Perceived Security, Attitude towards Technology, Descriptive Norm, Injunctive Norm, Subjective Norm, Behavior Intention.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Ajzen, I., &Fishbein, M. (1980). Understanding attitudes and predicting social behavior. New Jersey: Prentice-Hall.
Davis, F.D. (1985). A technology acceptance model for empirically testing new end-user information systems: theory and results (Unpublished Ph.D. dissertation). Massachusetts Institute of Technology, Sloan School of Management.
Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13 (3), 319-339.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Science, 39(2), 273–315.
