Does the technology acceptance model predict actual use? A systematic literature review

Turner, Mark; Kitchenham, Barbara; Brereton, Pearl; Charters, Stuart; Budgen, David

doi:10.1016/j.infsof.2009.11.005

Cited by 585 publications

(360 citation statements)

References 44 publications

Supporting

Mentioning

322

Contrasting

Unclassified

Order By: Relevance

“…More specifically, the model's only explicit assumption, to date, suggests that the intention concerning a particular technology is predicated on the perceived usefulness and ease of use of that technology (King and He, 2006;Legris et al, 2003;Turner et al, 2010), whereas the method for applying and testing the model, to date, has largely been regression-based methods, such as multiple linear regression analysis and covariance and partial least squares structural equation modelling, (e.g. Ha and Stoel, 2009;Lim, 2015a;Lim and Ting, 2012).…”

Section: Revisiting Tammentioning

confidence: 99%

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Lim

2018

AJIS

View full text Add to dashboard Cite

The technology acceptance model (TAM) is a prominent and parsimonious conceptual lens that is often applied for behavioural modelling in technology-mediated environments. However, TAM has received a great deal of criticism in recent years. This article aims to address some of the most pertinent issues confronting TAM through a rejoinder that offers dialectic antidotes-in the form of conceptual, methodological, and replication treatmentsto support the continued use of TAM to understand the peculiarities of user interactions with technology in technology-mediated environments. In doing so, this article offers a useful response to a common but often inadequately answered question about how TAM can continue to be relevant for behavioural modelling in contemporary technology-mediated environments.

show abstract

Section: Revisiting Tammentioning

confidence: 99%

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Lim

2018

AJIS

View full text Add to dashboard Cite

show abstract

“…Kwakman 2003). This can be further substantiated by research on the technology acceptance model, which showed that the intention to use new technologies predicts the actual usage of those technologies (see for a review, Turner et al 2010). Based on these studies, it can be concluded that the decision to use TPACK-based support materials may depend on their anticipated use.…”

Section: The Tpack Frameworkmentioning

confidence: 90%

Implementing Innovative Technologies Through Lesson Plans: What Kind of Support Do Teachers Prefer?

Janssen

Lazonder

2015

J Sci Educ Technol

View full text Add to dashboard Cite

Lesson plans are a potentially powerful means to facilitate teachers' use of technology in the classroom. This study investigated which supplementary information is preferred by teachers when integrating a new technology into the classroom. Forty-six high school biology teachers (23 pre-service and 23 in-service) received a technologyinfused lesson plan and were asked to choose between two sets of support materials that differed with regard to the extensiveness and integration of pedagogical and content information. Based on the technological, pedagogical, and content knowledge (TPACK) framework, pre-service teachers (n = 23) were expected to prefer the appendix containing extensive and separate information, whereas inservice teachers (n = 23) were predicted to prefer the succinct and integrated version. Teachers' responses to a forced-choice question confirmed the latter expectation, but lent insufficient support to the former. Semi-structured interviews further showed that the justifications of in-service teachers were generally consistent with the TPACK framework. Most pre-service teachers, by contrast, were future-oriented and preferred support that would help increase their proficiency rather than consolidate their existing knowledge base.

show abstract

“…It focuses on the initial adoption of new technologies, but researchers have extended it to examine continued use over time and to account for the confirmation or disconfirmation users' expectations (Bhattacherjee, 2001;Venkatesh, Thong, Chan, Hu, & Brown, 2011) and the habits that people develop (Limayem, Hirt, & Cheung, 2007). For reviews of this research, see Hsiao and Yang (2011) and Turner, Kitchenham, Brereton, Charters, and Budgen (2010).…”

Section: Prior Research On Technology Usementioning

confidence: 99%

Demystifying the Link between Social Media Addiction and Sharing without Verification: The Role of Absentmindedness and Wellbeing

Dennis¹,

Clay²,

Ko³

2024

THCI

View full text Add to dashboard Cite

Abstract:In this paper, we argue that one can understand the adoption and routine use of enterprise systems by examining the fit between the system and the social structures of the organization. We develop a model of the adoption and longterm use of enterprise systems based on sociological concepts (Lord Anthony Giddens' structuration theory) rather than the usual cognitive psychology concepts. We focus on the adoption and use of three versions of an enterprise KMS to support sales representatives at a multinational pharmaceutical firm. Our first study (a five-year case study of the KMS that went through one failed deployment and two successful ones) shows that the structures of signification, legitimation, and domination all influence loyal use, although domination may be less important. Our second study (a survey of 893 users at the firm) shows that the structures of signification, legitimation, and domination explain about 50 percent of the variance in ongoing loyal use but that their relative importance depends on the job experience of the users: signification and legitimation influence novices more, and signification and domination influence experts more. We believe that this parsimonious three-factor model offers a useful approach for future research and practice.

show abstract

Does the technology acceptance model predict actual use? A systematic literature review

Cited by 585 publications

References 44 publications

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Implementing Innovative Technologies Through Lesson Plans: What Kind of Support Do Teachers Prefer?

Demystifying the Link between Social Media Addiction and Sharing without Verification: The Role of Absentmindedness and Wellbeing

Contact Info

Product

Resources

About