Research Article
Factors Affecting the Use of Information Systems in Hybrid Models
@INPROCEEDINGS{10.4108/eai.11-7-2019.2298088, author={Dwi Yuniarto and Muhammad agreindra Helmiawan and Dani Indra Junaedi and Asep Saeppani and Yan Yan Sopiyan}, title={Factors Affecting the Use of Information Systems in Hybrid Models}, proceedings={Selected Papers from the 1st International Conference on Islam, Science and Technology, ICONISTECH-1 2019, 11-12 July 2019, Bandung, Indonesia}, publisher={EAI}, proceedings_a={ICONISTECH-1}, year={2020}, month={11}, keywords={mixed models information system respondent}, doi={10.4108/eai.11-7-2019.2298088} }- Dwi Yuniarto
Muhammad agreindra Helmiawan
Dani Indra Junaedi
Asep Saeppani
Yan Yan Sopiyan
Year: 2020
Factors Affecting the Use of Information Systems in Hybrid Models
ICONISTECH-1
EAI
DOI: 10.4108/eai.11-7-2019.2298088
Abstract
The hybrid model has helped researchers solve problems found. In studies that measure the use of information systems, mixed models are very effective to use. Apart from the hardware and software side, a special hybrid model for measuring the use of information systems is also used for measurement from the user side. This study combines two models that are used to determine what factors are related to the readiness and usability of the use of information systems. The results of this study there are factors that influence the use of information systems, namely: innovation on efficiency, ease of learning about system usability, optimism on efficiency, optimism on efficiency, optimism on reliability, and optimism on satisfaction. The researcher assessed that the use of information systems ensured that innovation and optimism were important in using information systems. To further strengthen this research, of course, other studies must try to apply it to different objects with different characteristics of respondents' profiles. The profile of respondents is very important and influences the results, so it is recommended to consider the selection of respondents. Further research needs to be done again, in the hope of improving the model so that it makes a major contribution to the world of research.
