Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics

By Weiyin Hong, James Y. L. Thong, Wai-Man Wong, Kar Yan Tam. Journal of Management Information Systems, 2002

940 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/48128c2c02519b00940955c439bb7318b444e8de

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Citations in the corpus

The effects of perceived risk and technology type on users' acceptance of technologies (2008, methodology): “Hong et al. [12] added two categories of external variables – individual differences and system characteristics – and Chau [4] modified it by using only four constructs—PEU, perceived long-term usefulness, www.elsevier.com/locate/im Available online at www.sciencedirect.com Information & Management ”
Technology acceptance model: a literature review from 1986 to 2013 (2014, neutral): “Close relation of the information and computer technology fields has been confirmed in several studies aiming to apply TAM on systems such as digital libraries [36], Internet-based information systems [93] as well as search engines for seeking information on the Web [54].”
Web Acceptance Model (WAM): Moderating effects of user experience (2007, neutral): “55 [26,29,60]”
Modeling patients' acceptance of provider-delivered e-health. (2004, background): “25 Because these factors have temporal precedence to system acceptance and occur independently of the model constructs, they may be applied to predict users’ tendencies toward technology acceptance before the technology is actually implemented.”
Understanding pre-service teachers' computer attitudes: applying and extending the technology acceptance model (2007, methodology): “Although the TAM has been tested widely with usage or intention to use as a dependent variable (e.g. Plouffe et al. 2001; Hong et al. 2002; Venkatesh et al. 2003), researchers have used the TAM framework to examine users' attitudes towards various technology applications such as the graphical user…”
An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, methodology): “The TAM has been widely applied to studies of technology acceptance and usage behaviour (Bruner & Kumar, 2005; Davis et al., 1989; Hong et al., 2002; Lee et al., 2006).”
A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context (2010, neutral): “Although the TAM has been tested widely with usage or intention to use as a dependent variable (see, for example, Hong, Thong, Wong, & Tam, 2002; Plouﬀe, Hulland, & Vandenbosch, 2001; Venkatesh, Morris, Davis, & Davis, 2003), researchers have reported that user attitude is an important factor that…”
The Technology Acceptance Model: Past, Present, and Future (2003, neutral): “Igbaria et al. [1995a] explained that the hard reality of organizations might put priority on the usefulness of computer systems rather than the pleasure brought by them.”
Effects of training on Internet self-efficacy and computer user attitudes (2002, background): “It is suggested that computer self-efficacy can be used to predict user perceptions and subsequent acceptance and use of systems among specific target user groups (Hong et al., 2002; Venkatesh & Davis, 1996).”
Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010, background): “…the two most common technological attributes that contribute to positive user attitudes and user satisfaction in work and consumer contexts (e.g., Brown et al., 2008; Hong et al., 2002; Thong, 1999; Thong et al., 2006; Venkatesh et al., 2003), including mandated use situations (Brown et al., 2002).”
The importance of perceived trust, security and privacy in online trading systems (2009, background): “In the e-services domain, the findings of the prior research demonstrate the positive relationship between perceived usefulness, perceived ease of use and intention to use (Hu et al., 1999; Hong et al., 2001; Gefen et al., 2003; Wang and Tang, 2003).”