This study aims to provide a synthetic examination of the determinants of the behavioral intention (BI) of older adults to use technology and to investigate the moderating variables that contribute to heterogeneity in prior literature. This study is developed through meta-analysis involving 35 primary studies over 15 years. Results indicate that perceived usefulness, perceived ease of use, and social influence are substantially correlated with the BI of older adults to adopt technology. These determinants perform differently when regional disparity is considered, thereby suggesting a cross-cultural study in the future. Moreover, older adults’ willingness to use familiar technologies, such as smartphones, is strongest, whereas their acceptance of unfamiliar technologies, such as healthcare systems and devices, is likely affected by the three determinants. The synthesized results may benefit researchers in determining future research directions and decision makers in gerontechnology research and development and marketing.

The proliferation of technology offers potential solutions for enhancing the well-being of older adults. However, older adults often have low digital literacy and are disengaged from the digital world. With age-appropriate training, older adults are expected to acquire a wide range of technological skills and bridge the digital divide. Through the lens of social cognitive theory, this study aims to investigate the effectiveness of observational training through behavior modeling in enhancing technology acceptance in older adults. The moderating effects of model identity on training outcomes from a generational perspective are examined. An empirical training experiment was completed with 59 community-dwelling older adults. Training outcomes were measured using cognitive knowledge, affective variables, and meta-cognition. The results ascertain the effectiveness of observational training in improving their technological knowledge, self-efficacy, outcome expectations, and sense of social connectedness when using technologies. From a generational perspective, the older adult behavior model is more effective than the young or child behavior models in increasing self-efficacy and willingness to use technology. The model identity further enhances the positive outcomes of training. The results of this study contribute to designing educational interventions to bridge the digital divide.

The global population of older adults is on the rise in every country. According to the World Health Organization [1], by the year 2030, one-sixth of the world’s population will be aged 60 years or...