Technology adoption by professional caregivers
C. Paul, V. Haaning, A. Pinto, L. Spiru
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AbstractTechnology acceptance is one of the most intense topics of discussion in the information system literature. We will refer to the state of the art of the theory of technology adoption (2021 onwards), particularly to the refinements and the critiques to the Technology Adoption Model (Davis, 1989), often referred as TAM. Developed from the TAM, The Unified Theory of Acceptance and Use of the Technology (UTAUT, Venkatesh, 2003) is one of the most widely cited theory. Along the perceived usefulness and ease of use, it introduces new contextual moderating variables, increasing its reliability. However, we will work with UTAUT adapted to the care sector by Wutz et al (2023). The rationale for choosing Witz et al adaptation to the health care sector is that the sector has its own idiosyncrasies and the post-working population also shows specificities in its own market segmentation (Venkatesch, 2012; Golant 2017). Moreover, we will refer here to the Hofstede’s cultural dimensions which have a direct effect on technology acceptance (Jan et al, 2022; Metallo et al, 2022). In the case of care organizations, the following three factors have a direct effect on the technology acceptance within the organization: Uncertainty avoidance, Individualism and Power Distance. It was shown that Uncertainty Avoidance is the best predictor for Perceived Ease of Use (Effort Expectancy) and has a positive effect. In cultures such as Portugal, users will try to avoid risk more than in Danmark. Individualism and Power Distance are best predictors of Behavioral Intension (Intension to use). Where is a higher degree of individualism, the intention to use is expected to be lower - When individualism is high, there is more to overcome for employees to use new technology. Higher the Power Distance, higher the intension to use within care organization. In countries with high Power distance (i.e. Portugal), with the strong support of senior management, employees will be more likely to use the new technology.Keywords: professional caregivers, profiling, technology acceptability, technology acceptance model
C. Paul, V. Haaning, A. Pinto, L. Spiru (2024). Technology adoption by professional caregivers. Gerontechnology, 23(2), 1-1
https://doi.org/10.4017/gt.2024.23.s.1124.opp