Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems
- Authors
- Yi Hsuan Lee
In The Last Decade
doi.org/w58593808 →Countries where authors are citing Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems
This map shows the geographic impact of Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems more than expected).
Fields of papers citing Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems
This network shows the impact of Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems.
About Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems
This paper, published in 2011, received 406 indexed citations . Written by Yi Hsuan Lee covering the research area of Information Systems and Management, Communication and Management Science and Operations Research. It is primarily cited by scholars working on Information Systems and Management (244 citations), Sociology and Political Science (129 citations) and Artificial Intelligence (68 citations).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w58593808.