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TECHNOLOGY ACCEPTANCE MODEL: ACCEPTANCE OF DIGITAL NOVELS AMONG NOVEL READERS

Regozamil Reo(1), Achmad Algadri R(2), Yeremia S Ginting(3),


(1) Creative Marketing Program, Management Department, BINUS Business School Master Program, Bina Nusantara University
(2) Creative Marketing Program, Management Department, BINUS Business School Master Program, Bina Nusantara University
(3) Creative Marketing Program, Management Department, BINUS Business School Master Program, Bina Nusantara University
Corresponding Author

Abstract


The readers' acceptance of novels in digital format is an important thing that must be understood, given the huge market potential of the novel. Although digital novels offer many conveniences, not necessarily readers who have enjoyed digital novels will continue to use. So, this study aims to find out whether other factors such as perceived convenience and perceived price as an external factor in the Technology Acceptance Model (TAM) also influence the readiness of individuals to continue using digital novels. This study uses a quantitative descriptive approach. The sampling technique uses judgmental sampling, with a sample of 200 digital novel readers. Data analysis used in the statistical analysis of this study is SEM-LISREL. The results of this study indicate that perceived convenience and perceived price together with the variables perceived ease of use and perceived usefulness have a positive effect on attitude toward using. The attitude toward using has a positive effect on the behavioral intention to use, and the intention to use also has a positive effect on actual system use, where actual system use also has a positive effect on satisfaction when using a digital novel and has implications for the intention to continue using the digital novel.The readers' acceptance of novels in digital format is an important thing that must be understood, given the huge market potential of the novel. Although digital novels offer many conveniences, not necessarily readers who have enjoyed digital novels will continue to use. So, this study aims to find out whether other factors such as perceived convenience and perceived price as an external factor in the Technology Acceptance Model (TAM) also influence the readiness of individuals to continue using digital novels. This study uses a quantitative descriptive approach. The sampling technique uses judgmental sampling, with a sample of 200 digital novel readers. Data analysis used in the statistical analysis of this study is SEM-LISREL. The results of this study indicate that perceived convenience and perceived price together with the variables perceived ease of use and perceived usefulness have a positive effect on attitude toward using. The attitude toward using has a positive effect on the behavioral intention to use, and the intention to use also has a positive effect on actual system use, where actual system use also has a positive effect on satisfaction when using a digital novel and has implications for the intention to continue using the digital novel.

Keywords


Technology Acceptance Model, Perceived Convenience, Perceived Price, Intention to Continuance Use, Digital Novel

References


Abramson, J., Dawson, M., & Stevens. (2015). An Examination of the Prior Use of E-Learning Within an Extended Technology Acceptance Model and the Factors that Influence the Behavioral Intention of Users to Use M-Learning. SAGE Open,1-9.

Adamson, I., & Shine, J. (2003). Extending the New Technology Acceptance Model to Measure the End User Information System Satisfaction in a Mandatory Environment: A Bank’s Treasury. Technology Analysis & Strategic Management, 15(4), 441-445.

Carreiro, E. (2010). Electronic Books: How Digital Devices and Supplementary New Technology are Changing the Face of the Publishing Industry, 26, 219-235.

Chang, C. C. (2013). Exploring the Determinants of E-Learning Systems Continuance Intention in Academic Libraries. Library Management, 34(1/2), 40-55.

Chau, P. Y. K., & Hu, P. J. (2002). Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study, 18(4), 191-229.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information System Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.

Jang, Yeona. (2015). Convenience Matter : A qualitative Study on the Impact of Use of Social Media and Collaboration Technologies on Learning Experience and Perfoemance in Higher Education. Education for Information, 21 (2014/2015), 73-98.

Fauzi, “Regional financial management information systems, technology, and performance,” Int. J. Econ. Perspect., vol. 10, no. 4, hal. 422–432, 2016.

Fauzi, “Modified TAM with Inducing the Reinforcement Institutional Theory (Facilitating Conditions, Institutional Enforcement and Insentive) toward SIPKD’s Individual Users Performance,” 2016.

Park, S. Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Student Behavioral Intention to Use E-Learning. Educational Technology and Society, 12(3), 150-162.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward A Unified View. MIS Quarterly, 27(3), 425-478.


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DOI: 10.56327/jurnaltam.v10i1.737

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