About the Project
As digital platforms increasingly mediate individuals' consumption experiences, it has become crucial for marketing and public policy research to understand how individuals' continuing dependence on such platforms affects their agency and vulnerability (Borenstein, & Taylor, 2024; Laamanen et al., 2025; Stewart et al., 2024; Yadav et al., 2025). Recent studies show that dependence on technology increases consumers' vulnerability to false information as their level of scepticism reduces (Laamanen…
et al., 2025), and the opacity of algorithms in AI systems generates asymmetric information that systematically disadvantages consumers (Zheng et al., 2025). This project, which seeks to contribute to theory on technology-mediated consumer vulnerability (Basu et al., 2023; Laamanen et al., 2025; Leandro & Botelho, 2025), algorithmic opacity in AI systems (Zheng et al., 2025), digital agency frameworks (Stewart et al., 2024), and justice perspectives on transparency and control (Waseem et al., 2024), investigates how technology dependence affects consumer vulnerability in digital marketing ecosystems, with a particular focus on how consumers navigate privacy vulnerability in personalised advertising ecosystems. The doctoral researcher will employ a mixed-method design, which will combine qualitative and quantitative methods.
Supervisors
Dr Benjamin Afreh
Dr. Babatunde Musiliu Abina
