The technology acceptance model and the World Wide Web
By Albert L. Lederer, Donna J. Maupin, Mark P. Sena, Youlong Zhuang. Decision Support Systems, 2000
1,457 citations recorded by the source corpus.
Subfields: Communication, Information Systems and Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/21b4f1e91ea6056be14761ce46be587d5ae2c7ad
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Paul A. Pavlou
- Heshan Sun
- Kwok Kee Wei
- David Gefen
- Ping Zhang
- Detmar W. Straub Jr.
- Hsiu-Fen Lin
- Prashant C. Palvia
In Information Systems and Management
- Yogesh Kumar Dwivedi
- Paul A. Pavlou
- David Gefen
- Hsiu-Fen Lin
- Charles Dennis
- V. Venkatesh
- Milena M. Head
- Ping Zhang
In Sociology and Political Science
- Yogesh Kumar Dwivedi
- David Gefen
- Paul A. Pavlou
- Charles Dennis
- Ping Zhang
- Tao Zhou
- Detmar W. Straub Jr.
- Milena M. Head
Citations in the corpus
- The Technology Acceptance Model: Past, Present, and Future (2003, positive): “However, the risk of distorted research findings by using self-reported usage instead of actual objective usage was cautioned by several studies [Lederer et al., 2000; Karahanna and Straub, 1997; Rawstorne et al., 2000; Straub et al., 1995; Szajna, 1996].”
- Electronic commerce adoption: an empirical study of small and medium US businesses (2004, background): “The former has been studied by Subramanian and Nosek [60] and others (e.g. [6,11]) while the latter has been investigated by Davis [21] and others (e.g. [1,30,35,65]) primarily through the technology acceptance model (TAM).”
- Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003, background): “Previous research has consistently argued that there is a positive relationship between perceived usefulness and perceived ease of use with acceptance of information technology [e.g., 28, 40, 77], and this finding has also been validated in Internet technology use [e.g., 55, 41, 62].”
- Empirical examination of the adoption of WebCT using TAM (2007, neutral): “These include Web browsers (Morris & Dillon, 1997), the use of Websites (Lederer, Maupin, Sena, & Zhuang, 2002; Lin & Lu, 2002; van der Heijden, 2003), Web retailing (Chen, Gillenson, & Sherrell, 2002; OÕcass & Fenech, 2003), online purchase intentions (van der Heijden, Verhagen, & Creemers, 2003),…”
- Barriers and benefits in the adoption of e‐government (2004, background): “As mentioned earlier, Legris et al. (2002) described how the initial list of factors that affect technology adoption were simplified under the TAM and accounted for only 50 per cent of the variance in technology usage intention. Therefore, the proposition is that by combining the attitude-based and ”
- An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “Furthermore, the opinion of users is of great importance.”
- Exploring Students Acceptance of E-Learning Using Technology Acceptance Model in Jordanian Universities. (2013, methodology): “TAM has been applied into many contexts and fields investigating user acceptance of information technology, including the World Wide Web (Lederer et al., 2000), mobile banking (Lule et al., Exploring students acceptance of e-learning 7 2012), multimedia (Lau and Woods, 2008) and healthcare…”
- Online banking adoption: an empirical analysis (2010, background): “Besides perceived usefulness, perceived ease of use has also been validated as important determinant in adoption of a lot information technologies, such as intranet (Chang, 2004), WWW (Lederer et al., 2000), online banking (Wang et al.”
- Mobile internet acceptance in Korea (2005, methodology): “The constructs of different causal hierarchy needs to be treated differently, especially when exploratory factor analysis is used ( Lederer et al. , 2000”
- Online Impulse Buying: Understanding the Interplay between Consumer Impulsiveness and Website Quality (2011, methodology): “Prior technology acceptance research has used this approach and has indicated that concerns related to common method bias are alleviated should a single or general factor fail to account for the majority of the variance in the study (Lederer et al., 2000).”
- An investigation into the acceptance of online banking in Saudi Arabia (2009, background): “H13: Customer’s perceived ease of use has a positive impact on his/her attitude towards using online banking Lederer et al. (2000)”
- An empirical study of the effect of perceived risk upon intention to use online applications (2005, positive): “Previous research has demonstrated the validity of TAM across a wide range of IT (Bajaj and Nidumolu, 1998; Chau, 1996; Chin and Gopal, 1995; Igbaria et al., 1996; Lederer et al., 2000; Lin and Lu, 2000; Lu and Yeh, 1998; Szajna, 1994, 1996).”