Feedback from French nursing staff in gerontology
Maria Łuszczyńska, Marvin Formosa in Ageing and COVID-19, 2021
Several models attempt to capture the modalities inherent in the acceptability (and ultimately acceptance) of using a new tool or embracing a new organisation. For example, the Technology Acceptance Model (TAM) deals with behavioural intention, a factor that leads people to use a technology (Davis 1985). But another model offers a better explanatory capacity for behavioural intention: the ‘Unified Theory of Acceptance and Use of Technology’ (UTAUT) (Venkatesh et al. 2003:425). This model proposes 4 main factors influencing the behavioural intention and use of a new feature (tool, organisation, system, etc.): performance expectancy; effort expectancy (i.e., the degree of ease associated with use); facilitating conditions, and lastly, social influence (i.e., the influence of the people around the individual and their perception of the new feature) (Bobillier-Chaumon & Dubois 2009: 355–382; Lewin 1946: 34–46; Venkatesh et al. 2003:425).
Persuasive health technology
Lisette van Gemert-Pijnen, Saskia M. Kelders, Hanneke Kip, Robbert Sanderman in eHealth Research, Theory and Development, 2018
Theories of acceptance of technology are mainly based on cognitive psychology. They are used to investigate and influence predictors for acceptance of or adherence to technologies, especially web-based interventions for health promotion. The Technology Acceptance Model [TAM and TAM 2] (Davis, 1985; Venkatesh & Davis, 2000) and Unified Theory of Use and Acceptance [UTAUT] (Venkatesh, Morris, Davis, & Davis, 2003) have their roots in these theories. Important aspects that influence the intentions to use a certain technology from these models are perceptions about ease of use, performance and effort expectancies, and social influence. These perceptions are assumptions people have about whether they are able to use a technology and can benefit from that use. Although perceptions are important to fine-tune a technology to people’s reported expectations, in practice this might not predict actual use of a technology. Perceptions and expectations might be a good predictor for the intention to use a technology, but when there are barriers that hinder actual use, these intentions may remain intentions only (see Chapter 13 and (Nijland, van Gemert-Pijnen, Kelders, Brandenburg, & Seydel, 2011).
The Geriatrician
Stefano Federici, Marcia J. Scherer in Assistive Technology Assessment Handbook, 2017
The Technology Acceptance Model (TAM; Davis, 1993) and the Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh, Morris, Davis, and Davis, 2003) are the models often employed in technology acceptance studies and aimed at explaining technology (non)use by individuals in organizations. The predictor variables in the TAM are perceived usefulness and perceived ease of use, while the UTAUT includes social influence and facilitating conditions. UTAUT also includes four moderating variables (gender, age, experience, and voluntariness of use). Reviews of studies involving older adults have indicated that the TAM and the UTAUT are missing important predictors of technology use that are specific to community-dwelling older adults, including biophysical, psychological, and contextual factors (Lee and Coughlin, 2015; Peek et al., 2014). A recent qualitative explorative field study shows that older adults’ perceptions and use of technology are embedded in their personal, social, and physical context (Peek et al., 2016).
Do websites contain factors to aid older adults’ adoption of health-related information and communication technology?
Published in Journal of Communication in Healthcare, 2020
The Technology Acceptance Model (TAM) provides a theoretical framework to explain how an individual decides whether to accept or reject technology use [23]. TAM explains that PU and PEOU are two key factors that determine the actual usage of new technology. Davis [23] defined PU as 'the degree to which a person believes that using a particular system would enhance his or her job performance’ and PEOU as ‘the degree to which a person believes that using a particular system would be free of effort’ (p. 320). TAM has been applied to empirical studies of various new technologies, such as social networking sites (SNSs) [24], PDA [12], mobile payment services [25], and mobile learning technology [26]. Such studies have revealed that PU and PEOU are elements of intention to use new technologies for all ages, including older adults [12,13,24,25] and college students [26].
The impact of social influence on perceived usefulness and behavioral intentions in the usage of non-pharmaceutical interventions (NPIs)
Published in International Journal of Healthcare Management, 2023
Matti J. Haverila, Caitlin McLaughlin, Kai Haverila
The Technology Acceptance Model (TAM) [7] is an information systems theory that models how users accept and use a technology. The word ‘technology’ refers to methods, systems, and devices that are the result of scientific knowledge being used for practical purposes. Accordingly, NPIs fall under this definition as relevant science has proven NPIs to be effective – and they are used for practical purposes. The original key constructs in the TAM framework are perceived ease of use, perceived usefulness, attitudes towards usage, and actual use [8,9]. Davis [7] relied on the theory of reasoned action [10] to help guide model development, utilizing these ideas to draw the link between attitudes, behavioral intentions, and actual behavior [8,11]. The implementation of NPIs is important due to their drastic social and economic impact in every society [3]. In order to achieve this adoption of NPIs, social influence on technology acceptance behavior is an important factor [12].
The Potential of Information Technology to Navigate Caregiving Systems: Perspectives from Dementia Caregivers
Published in Journal of Gerontological Social Work, 2019
Nicole Ruggiano, Ellen L. Brown, Shanae Shaw, David Geldmacher, Peter Clarke, Vagelis Hristidis, Jessica Bertram
The technology acceptance model (TAM) is a useful framework for understanding how technologies can adequately reflect the realities, needs, and attitudes of caregivers for adoption of use. TAM posits that users are more likely to accept technologies when they are (1) perceived useful and (2) perceived as being easy to use (Davis, 1989). TAM is useful in understanding the likelihood that caregivers would use a technology-based intervention, such as this. In terms of perceived usefulness, Venkatesh and Davis (2000) extended this concept to include perceptions of job relevance and output quality. TAM has been used extensively by researchers to show the acceptance of technology in health care (Holden & Karsh, 2010), and has been used as a framework for understanding caregivers’ acceptance of technology use in relationship to hospice (Oliver et al., 2015; Whitten, Holtz, & Nazione, 2009) and AD/RD care settings (Kramer, 2013; Mao, Chang, Yao, Chen, & Huang, 2015). TAM was used by the researchers to inform the beta test design of the investigation, as well as the questions on the interview guide.
Related Knowledge Centers
- Theory of Planned Behavior
- Theory of Reasoned Action
- Theory of Reasoned Action
- Diffusion of Innovations
- Matching Person & Technology Model
- Self-Efficacy
- Technology Adoption Life Cycle
- Technology Life Cycle
- Theory of Planned Behavior