Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model

By Jae Eun Chung, Namkee Park, Hua Wang, Janet Fulk, Margaret L. McLaughlin. Computers in Human Behavior, 2010

426 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f35138454f63aa62ddc887f09a48766ab4b4a2ad

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

Demographic differences in perceived benefits from gamification (2014, background): “Findings of age having no effect on perceptions of ease of use or usefulness of, for example, online communities have also been published (Chung et al., 2010), which prompts examination of the effects of the services’ content and affordances from an age perspective (Ijsselsteijn et al., 2007).”
The privacy-personalization paradox in mHealth services acceptance of different age groups (2016, methodology): “The effects of age on attributes associated with behavior intention has received minimal attention, even though considerable research points to its significant role in technology acceptance (Chung et al. 2010).”
Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, methodology): “predictors, such as those explored in the Technology Acceptance Model (TAM; Chung et al., 2010; Davis, 1989; Hubert et al., 2017), the Unified Theory of Acceptance and Use of”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, background): “This indicates that older users will show a stronger relationship between external influence and ease of use (Chung et al., 2010).”
PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers (2015, neutral): “Computer systems Experience, value, social support, affordability Chung et al. (2010).”
Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide (2014, background): “Chung et al (2010) argue that a negative relationship between age and Internet self-ef ﬁ cacy exists.”