Quo vadis TAM?

By Izak Benbasat, Henri Barki. Journal of the AIS, 2007

1,673 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/0766d655ec78d789f9c8aa1ce849c858b29546ad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

A generalised adoption model for services: A cross-country comparison of mobile health (m-health) (2016, background): “However, for any specific consumer context, where consumers’ preference is contingent upon several social and behavioural aspects, three other determinants should be included to focus and integrate citizens’ behavioural attitude from the marketing perspective (Benbasat & Barki, 2007).”
Understanding User Revisions When Using Information Systems Features: Adaptive System Use and Triggers (2012, background): “…of people’s revisions of system use and triggers is of great value to information systems research and practitioners when studying post-adoptive system use, a topic that is attracting more and more attention from IS researchers (Benbasat and Barki 2007; Ortiz de Guinea and Markus 2009).”
Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context (2009, background): “A criticism of TAM is that researchers keep extending the model by adding factors to it to explain new iterations of technology [2].”
The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift (2007, background): “Benbasat and Barki (2007) recommend that focus in the future be placed on salient beliefs and their role in TAM and TPB, which I echo.”
Contemporary trends and issues in IT adoption and diffusion research (2009, methodology): “A number of review and meta-analysis papers have previously been published on the general theme of this paper – see for instance Bagozzi (2007), Benbasat and Barki (2007), Choudrie and Dwivedi (2005), Hirschheim (2007), Jeyaraj et al. (2006), King and He (2006), Legris et al. (2003), Lucas et al.…”
Wearable technologies: The role of usefulness and visibility in smartwatch adoption (2016, background): “Thus, although not without criticism (see Bagozzi, 2007; Benbasat & Barki, 2007 for a discussion), TAM is generally preferred over alternative models, such as the theory of reasoned action and the theory of planned behavior, in a wide variety of user contexts (Davis, Bagozzi, & Warshaw, 1989; Hong,…”
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, background): “We further answer the call of Benbasat and Barki (2007) to place greater emphasis on understanding the antecedents of belief perceptions in TAM research.”
Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, background): “…adoption and acceptance which have recommended to be expanded to new contexts by many researchers (e.g. Venkatesh et al. , 2012; Bagozzi, 2007; Benbasat and Barki, 2007) and specifically to the generalisability and applicability of the UTAUT in a new context (online banking), new user group…”
What is an Information System? (2015, neutral): “[7] Benbasat, I.”
Examining the impact of gamification on intention of engagement and brand attitude in the marketing context (2017, background): “However, some researchers (e.g. Davis, 1989, 1993, Benbasat and Barki, 2007; Li, 2014) have critiqued TAM for its incompleteness and called for extending TAM to specific contexts and including specific variables.”
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, background): “…cases, researchers can adopt the context-as-antecedents approach to incorporate potential context-speciﬁc factors as antecedents of core constructs (e.g., attitude) in general models (e.g., TPB) that favor extensions of the belief set and allow for novelty and discovery (Benbasat and Barki 2007).”
Determinants of social media adoption by B2B organizations (2015, methodology): “…draws on the Technology Acceptance Model (TAM) to investigate social media adoption by B2B organizations, but also addresses criticisms regarding TAM’s limited confines by responding to the need for further research focusing on additional predictors (e.g. Bagozzi, 2007; Benbasat & Barki, 2007).”
E-government adoption: A cultural comparison (2008, methodology): “Despite the numerous articles, models and constructs used to describe technology adoption Benbasat and Barki (2007) argue that only one construct consistently explains a large percent of the variance in use intentions: perceived usefulness, a.k.a. performance expectancy, a.k.a. relative advantage.”