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Understanding Trust in the Smart City Through Focus Groups in Hong Kong

  • Calvin Ming Tsun Lai*
  • , Alistair Cole
  • , Dionysios Stivas
  • *Corresponding author for this work
  • Technische Universität Darmstadt
  • Sciences Po Lyon

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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
Original languageEnglish
Article number123
Pages (from-to)1-18
Number of pages18
JournalUrban Science
Volume9
Issue number4
DOIs
Publication statusPublished - 14 Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • focus groups
  • Hong Kong
  • mixed-methods approach
  • smart city
  • trust dynamics

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