Online shopping drivers and barriers for older adults: Age and gender differences

By Jiunn-Woei Lian, David C. Yen. Computers in Human Behavior, 2014

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Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study (2018, background): “Copyright © 2018, Elsevier. and gender within research models (e.g. Lian and Yen, 2014; Yang et al., 2015), results reveal multiple consumer demographic differences surrounding risk and trust perceptions.”
COVID-19 lockdown measures and travel behavior: The case of Thessaloniki, Greece (2021, background): “Teleworking, online deliveries, and online socializing have been found not to be as accessible for older generations and physically getting outside of the house becomes the only viable alternative (Bulut et al., 2020; Lian and Yen, 2014; Monahan et al., 2020).”
Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2 (2017, background): “In the specific context of older adults’ studies, similar results were found supporting the relevance of performance expectancy to predict users’ intentions to use ICT (Lian & Yen, 2014; Braun, 2013).”
Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory (2017, background): “Extant research has examined determinants of mobile shopping (San-Martín, Prodanova, and Jiménez, 2015; Wang, Malthouse and Krishnamurthi, 2015) and also barriers that prevent consumers to use mobile shopping (Lian and Yen, 2013, 2014).”