Authors
Xue-Feng Shao, Yi Li, Yuliani Suseno, Rita Yi Man Li, Kostas Gouliamos, Xiao-Guang Yue, Yumeng Luo
Publication date
2021/11/1
Journal
Safety science
Volume
143
Pages
105434
Publisher
Elsevier
Description
The rapid progress of facial recognition technology (FRT), aided by technological advancements in artificial intelligence, is transforming urban life. However, FRT also presents challenges and imposes urban safety risks, such as cybersecurity threats and privacy concerns. Considering the importance of FRT as smart urban safety technology, this study utilises the rent-seeking theory to analyse the relationship between a firm’s level of FRT capability and its international and domestic sales performances. We explored the effect of the home country’s government subsidies as a contextual factor. We analysed 33 listed firms from nine countries – firms that are involved in artificial intelligence, based on secondary data from 2014 to 2019. Our regression analyses revealed mixed empirical results in that while the firm’s FRT capability negatively influenced its international sales performance, its positive effect on domestic …
Total citations
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