It's all about attitude: revisiting the technology acceptance model
By H. Yang, Youngjin Yoo. Decision Support Systems, 2004
588 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/274ed488360a276fa18ce0069e86d9bcd21336f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Charles Dennis
- Amy K. Yarbrough
- Mutaz M. Al-Debei
- Omar Salameh Al-Hujran
- Trond S. Johansen
- Akemi Takeoka Chatfield
In Information Systems and Management
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Michael D. Williams
- Marc Clement
- Anand Jeyaraj
- Kuttimani Tamilmani
- Banita Lal
In Sociology and Political Science
- Nripendra P. Rana
- Yogesh Kumar Dwivedi
- Ali Abdallah Alalwan
- Michael D. Williams
- Marc Clement
- Charles Dennis
- Amy K. Yarbrough
- Mutaz M. Al-Debei
Citations in the corpus
- Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model (2010, unknown): “With this finding we are consistent with that of Yang and Yoo [32], that Attitude is a crucial factor that needs further investigation and perhaps specification.”
- Technology Acceptance among Physicians (2007, methodology): “ Yang and Yoo (2004) tested the TAM inclusive of the attitudinal construct using structural equation modeling (SEM) and found support for the variable.”
- Examining WeChat users' motivations, trust, attitudes, and positive word-of-mouth: Evidence from China (2014, background): “Attitudes are the determinant of behavioral intention and have a positive effect on the intention to use information system (Yang & Yoo, 2004).”
- A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context (2010, unknown): “Within the framework of TAM, attitude has been used as a dependent variable to study possible links to computer usage (Yang & Yoo, 2004).”
- Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust (2016, unknown): “Attitude is a crucial determinant of behaviour intention and has a positive in fl uence on consumer intention to use information system (Agag & El-Masry, 2016; Yang & Yoo, 2004).”
- Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept (2012, background): “It is widely acknowledged that perceived ease of use contributes to perceived usefulness (King & He, 2006; Lin et al., 2005; McFarland & Hamilton, 2004; Schepers & Wetzels, 2007; Venkatesh, 2000; Yang & Yoo, 2004).”
- The imperative of influencing citizen attitude toward e-government adoption and use (2015, background): “Moreover, government agencies would find this valuable in retaining their current users and attracting new ones.”
- An empirical validation of a unified model of electronic government adoption (UMEGA) (2017, unknown): “The role of attitude in explaining technology acceptance is widely acknowledged in prior literature (e.g. Bobbitt & Dabholkar, 2001; Kim et al., 2009; Taylor & Todd, 1995b; Yang & Yoo, 2004).”
- Internet banking acceptance model: Cross-market examination (2010, background): “Yang and Yoo (2004) argue that researchers fail to distinguish between the two types of attitudes, where the potentially significant influence of cognition attitude gets offset by the insignificant influence of affect attitude.”