Age Differences in Technology Adoption Decisions: Implications for a Changing Work Force

Abstract

This research investigated age differences in individual adoption and sustained usage of technology in the workplace using the theory of planned behavior. User reactions and technology usage behavior were studied over a 5-month period among 118 workers being introduced to a new software system. At 2 points of measurement, compared to older workers, younger workers' technology usage decisions were more strongly influenced by attitude toward using the technology. InWe thank Ttacy Ann Sykes of the University of Maryland for her help in improving the readability of the paper and copyediting.Correspondence and requests for reprints should be addressed to Professor Michael G. Morris, Air Force Institute of Rchnology (AFITENV), Wright-Patterson AFB, Ohio 45433; michael.morris@afit.af.mil.COPYRIGHT 0 Zoo0 PERSONNEL PSYCHOLOGY, INC

The role of moderating factors in user technology acceptance

“…Venkatesh et al (2003) found young users placed more importance on extrinsic reward (equivalent to PU). Similarly, Morris and Venkatesh (2002) found the same moderating effects of age. In addition, ''increased age has been shown to be associated with difficulty in processing complex stimuli and allocating attention to information on the job'' (Venkatesh et al, 2003, p. 450), implying that PEOU is a stronger determinant of BI for old users.…”

Enterprise social media impact on human resource practices

“…It could be that collectively, new hires had developed technological skills regardless of age. Gender, however, was also not significant which is at odds with Morris and Venkatesh's (2000) and Cao et al's (2012) finding that gender has a significant influence on this relationship. Finally, with an increasing amount of Nigerian Millennials using social media during their university studies (Faese et al 2016), it was unclear why it is not being used more so at work.…”

“…This was contrary to many other studies which found being a female would influence use (Venkatesh et al 2016 (Venkatesh et al 2003;Venkatesh et al 2012). Morris and Venkatesh (2000) found that an age difference exists when it comes to technological adoption. Posner (1996) attributes a decline in cognitive capabilities that follows the aging process and corresponds to Prensky's (2001) theory of digital natives and digital immigrants, which suggests that people born in the 80's are most comfortable in using technology.…”

Digital Divide: Issues Facing Adult Learners

“…Younger people are more receptive in adapting changes in the way they learn compared with older people (Bosma et al, 2003). Technology assimilation among older people is slower compared to younger people (Morris & Venkatesh, 2000). A study in Canada on teaching Mathematics using computer found that adult learners' academic performance was better when computers and teachers were used simultaneously.…”