TY - JOUR
T1 - The roles of trust and privacy calculus in citizen-centric services usage
T2 - evidence from the close contact query platform in China
AU - Ju, Jingrui
AU - Wang, Liuan
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - The mechanism of the ‘privacy calculus’ between privacy risks and benefits has gained attention in e-government service, but there were few empirical studies. Trust reduces perceived risk as well as enhances perceived benefits. However, the effects of different types of trust on privacy calculus are yet undefined. Regarding above issues, we build a research model based on the theoretical framework of ‘Antecedents → Privacy Concerns → Outcomes (APCO)’, theories of privacy calculus and e-government trustworthiness typology. We analyse survey data from the Close Contact Query Platform providing citizen-centric services for COVID-19 in China. Trust in transactions and information is increased by trust in government organisations. Trust in government organisations and transactions decrease perceived privacy risks, while trust in government organisations and information enhances perceived privacy benefits. Privacy risks and benefits significantly affect usage intentions, and the effect of privacy benefits is greater. We also identified mediating effects. Our findings have important implications regarding the unexplored inner mechanism of trust, the roles of privacy calculus in e-government adoption, and the expansion of the APCO framework. We offer recommendations for citizen-centric platform developers, administrators to design citizen-centric services, and offline public servants.
AB - The mechanism of the ‘privacy calculus’ between privacy risks and benefits has gained attention in e-government service, but there were few empirical studies. Trust reduces perceived risk as well as enhances perceived benefits. However, the effects of different types of trust on privacy calculus are yet undefined. Regarding above issues, we build a research model based on the theoretical framework of ‘Antecedents → Privacy Concerns → Outcomes (APCO)’, theories of privacy calculus and e-government trustworthiness typology. We analyse survey data from the Close Contact Query Platform providing citizen-centric services for COVID-19 in China. Trust in transactions and information is increased by trust in government organisations. Trust in government organisations and transactions decrease perceived privacy risks, while trust in government organisations and information enhances perceived privacy benefits. Privacy risks and benefits significantly affect usage intentions, and the effect of privacy benefits is greater. We also identified mediating effects. Our findings have important implications regarding the unexplored inner mechanism of trust, the roles of privacy calculus in e-government adoption, and the expansion of the APCO framework. We offer recommendations for citizen-centric platform developers, administrators to design citizen-centric services, and offline public servants.
KW - Citizen-centric services
KW - intention to use
KW - privacy benefits
KW - privacy calculus
KW - privacy risks
KW - trust
UR - http://www.scopus.com/inward/record.url?scp=85188525378&partnerID=8YFLogxK
U2 - 10.1080/0144929X.2024.2330001
DO - 10.1080/0144929X.2024.2330001
M3 - Article
AN - SCOPUS:85188525378
SN - 0144-929X
JO - Behaviour and Information Technology
JF - Behaviour and Information Technology
ER -