TY - JOUR
T1 - Understanding Trust in the Smart City Through Focus Groups in Hong Kong
AU - Lai, Calvin Ming Tsun
AU - Cole, Alistair
AU - Stivas, Dionysios
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/4
Y1 - 2025/4
N2 - This paper examines the role of focus groups in mixed-methods research, focusing on trust dynamics within the smart city. It takes the Asian metropolis of Hong Kong as its empirical case. It successfully validates focus groups as a research method across three dimensions. Firstly, focus groups facilitate the comparison of in-depth discussions across various demographic groups; secondly, focus groups enable collective deliberation to uncover hidden relationships; and, thirdly, when correctly employed, focus groups can bridge qualitative (interviews) and quantitative (surveys) research to enhance triangulation. In this study, the findings of focus groups substantiate the data trust paradox identified in previous surveys and interviews: high public support for technology in a low-trust environment, with explicit privacy concerns related to data management. The focus group results reinforce distinct insights in relation to birth origins and political identities, reconfirming differential trust among demographic groups. This paper demonstrates tailored focus groups as an effective approach to unraveling the trust dynamics in smart city strategies.
AB - This paper examines the role of focus groups in mixed-methods research, focusing on trust dynamics within the smart city. It takes the Asian metropolis of Hong Kong as its empirical case. It successfully validates focus groups as a research method across three dimensions. Firstly, focus groups facilitate the comparison of in-depth discussions across various demographic groups; secondly, focus groups enable collective deliberation to uncover hidden relationships; and, thirdly, when correctly employed, focus groups can bridge qualitative (interviews) and quantitative (surveys) research to enhance triangulation. In this study, the findings of focus groups substantiate the data trust paradox identified in previous surveys and interviews: high public support for technology in a low-trust environment, with explicit privacy concerns related to data management. The focus group results reinforce distinct insights in relation to birth origins and political identities, reconfirming differential trust among demographic groups. This paper demonstrates tailored focus groups as an effective approach to unraveling the trust dynamics in smart city strategies.
KW - focus groups
KW - Hong Kong
KW - mixed-methods approach
KW - smart city
KW - trust dynamics
UR - http://www.scopus.com/inward/record.url?scp=105003670680&partnerID=8YFLogxK
U2 - 10.3390/urbansci9040123
DO - 10.3390/urbansci9040123
M3 - Article
AN - SCOPUS:105003670680
SN - 2413-8851
VL - 9
JO - Urban Science
JF - Urban Science
IS - 4
M1 - 123
ER -