Comparison of the middle-aged and older users' adoption of mobile health services in China

By Zhaohua Deng, Xiuting Mo, Shan Liu. Int. J. Medical Informatics, 2014

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Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS) (2018, background): “For example, Deng et al. (2014) compared users’ adoption towards mobile health services between middle-aged and old groups based on a combined model incorporating constructs from TPB and VAB (value-attitude-behavior).”
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology (2018, result): “31 is consistent with existing findings in the literature (Deng et al., 2014; Liu et al., 2015; Venkatesh et al., 2012).”
What catalyses mobile apps usage intention: an empirical analysis (2015, background): “(2012), and to the past literature pertaining to the perceived value by Deng et al. (2014). Consumers would not intended to use mobile apps even though they perceive the benefits received outweigh the monetary value paid.”
The effects of convenience and speed in m-payment (2015, background): “Deng et al. (2014) suggest that the discriminant validity test can be examined by comparing the square root of AVEs and correlation values among the latent variables.”