Individual Acceptance of Information Technologies
By Ritu Agarwal. 2000
427 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/76d7384b47d44809e83ea46c8df57b4e829f4c33
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- V. Venkatesh
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Citations in the corpus
- Electronic commerce adoption: an empirical study of small and medium US businesses (2004, background): “The theory of planned behavior (TPB) is a well established intention model that has been proven successful in predicting and explaining behavior across a wide variety of domains, including the use of information technology [2].”
- A review of the predictors, linkages, and biases in IT innovation adoption research (2006, background): “We excluded theoretical and conceptual essays (e.g., Swanson, 1994; Agarwal, 2000), and reviews of prior research (e.g., Fich-man, 1992; Prescott and Conger, 1995; Legris et al ., 2003).”
- 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): “Therefore, the IDT theory argues that “ potential users make decisions to adopt or reject an innovation based on beliefs that they form about the innovation ” (Agarwal, 2000, p. 90).”
- Organizational adoption and assimilation of complex technological innovations: development and application of a new framework (2001, background): “(Interested read- ers are referred to recent summaries by Fichman (2000) and Agarwal (2000) for their comprehensive reviews of prior research on innovation diffusion and technology acceptance, respectively.)”
- Investigating Determinants of Software Developers' Intentions to Follow Methodologies (2003, methodology): “is commonly used as an indicator of the acceptance stage of adoption in DOI [1].”
- Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems (2011, background): “Therefore, the IDT theory argues that " potential users make decisions to adopt or reject an innovation based on beliefs that they form about the innovation " (Agarwal, 2000, p. 90).”
- Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context (2013, background): “To attain a more nuanced understanding about the relationship between RIM and INV, we identify employees’ personal innovativeness with IT (PIIT), one of the most relevant individual characteristics for understanding IS use (Agarwal 2000, Gallivan et al. 2005), as a plausible moderator.”
- Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption (2009, result): “…other results regarding social influence (e.g. Mathieson, 1991), Ritu Agarwal identifies ‘a need for additional research that clarifies the precise role of social pressure in technology acceptance and isolates the contingencies under which such norms are likely to be more salient’ (Agarwal, 2000).”
- Information System Use - Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use (2007, background): “Similar ideas include the need to extend technology acceptance outcomes by more formally including the notions of adaptation, reinvention, and learning (Agarwal 2000), and the need to move beyond simplistic views of use by adopting a more comprehensive conceptualization of user behaviors that focuse”
- Technostress from mobile communication and its impact on quality of life and productivity (2016, background): “Research in the field of information technology (IT) has emphasised the positive sides and has extensively studied the adoption, satisfaction, self-efficacy, and other related issues with respect to ICTs (Agarwal, 2000).”
- Outsourcing to an Unknown Workforce: Exploring Opensourcing as a Global Sourcing Strategy (2008, background): “The importance of strong management support has been verified in several studies of ICT adoption (e.g. Agarwal, 2000; Chatterjee et al., 2002; Fichman, 2004; Gallivan, 2001).”