Extending the technology acceptance model: the influence of perceived user resources

By Kieran Mathieson, Eileen Peacock, Wynne W. Chin. DATB, 2001

1,274 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f488baf1bd41c3396e65e1887613799eef48beae

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Citations in the corpus

What Drives Electronic Commerce across Cultures? Across-Cultural Empirical Investigation of the Theory of Planned Behavior (2002, background): “H1: The relationship between attitude and transaction intention is stronger in collectivist than in individualist societies.”
Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success (2008, background): “This study has successfully reconciled the e-commerce success model with the marketing and IS acceptance literature.”
Organizational Buyers' Adoption and Use of B2B Electronic Marketplaces: Efficiency- and Legitimacy-Oriented Perspectives (2007, methodology): “To test H7 and H8, a pseudo F-test [49] was used to assess the effects of adding a set of the theoretical factors on the change in R(2) of adoption intent and participation level when the other set of theoretical factors was already present in the model.”
The Technology Acceptance Model: Past, Present, and Future (2003, positive): “Trialability The degree to which an innovation may be experimented with before adoption Rogers [1983] Moore and Benbasat[1991]; Karahanna et al.”
Specifying Formative Constructs in Information Systems Research (2007, methodology): “Perceived User Resources (Mathieson et al. 2001) Have resources, opportunities and knowledge to use system No barriers to using system Would be able to use system if I wanted to Have access to resources I need to use system”
Exploring influencing variables for the acceptance of social robots (2013, background): “Specifically, information systems research has identified several factors as barriers to technology acceptance [48,52].”
Integrating Service Quality with System and Information Quality: An Empirical Test in the E-Service Context (2013, methodology): “We used the “pseudo F-test” technique7 to measure whether the substantive change in the explained variance (R²) of target variable is statistically significant after the direct influences of the external variables were taken into account (Mathieson et al. 2001).”