Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics

By Constance Elise Porter, Naveen Donthu. 2006

1,095 citations recorded by the source corpus.

Subfields: Information Systems and Management, Media Technology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7c7e38f7ba71ca801e97d9ed54bf507a96720e10

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In Information Systems and Management

In Media Technology

In Sociology and Political Science

Citations in the corpus

Determinants of social media adoption by B2B organizations (2015, background): “…Hernández-Ortega, Jiménez-Martínez, & Martín-DeHoyos, 2008; Holden & Karsh, 2010; Hu, Chau, Sheng, & Tam, 1999; Kim, Lee, & Law, 2008; Lederer, Maupin, Sena, & Zhuang, 2000; McKechnie, Winklhofer, & Ennew, 2006; Pavlou, 2003; Porter & Donthu, 2006; Venkatesh & Davis, 2000; Vijayasarathy, 2004).”
Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022, background): “Also, some researchers (Donat, Brandtweiner, and Ker-schbaum 2009; Porter and Donthu 2006) have found that users who use digital products pro ﬁ ciently would hold a positive attitude towards digital technology, which implies that usage in AI literacy will be positively related to users ’ attitude.”
Sport event innovativeness: Conceptualization, measurement, and its impact on consumer behavior (2013, background): “The results from empirical research have shown that innovative products are more highly evaluated by younger consumers than by older consumers in terms of both hedonic (Burke, 2002) and utilitarian values (Porter & Donthu, 2006; Weijters et al., 2008).”
Online rental housing market representation and the digital reproduction of urban inequality (2019, background): “Younger, whiter, better-educated, and higher-income Americans have higher internet usage rates than other groups (Porter and Donthu, 2006).”
The influence of eWOM in social media on consumers' purchase intentions: An extended approach to information adoption (2016, methodology): “It is therefore widely used by researchers within the different contexts such as the Internet usage (Porter & Donthu, 2006), social media usage (Rauniar, Rawski, Yang, & Johnson, 2014), online banking (Yiu et al., 2007), e-learning (Tarhini, Hone, & Liu, 2013), e-government (Alenezi, Tarhini, &…”