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  1. Home
  2. Academic Research Output
  3. Journal Article
  4. Mini-programs in mobile payment to access eGovernment in China’s Greater Bay Area - exploring the determinants and mechanism from self-determination and motivation theory
 
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Mini-programs in mobile payment to access eGovernment in China’s Greater Bay Area - exploring the determinants and mechanism from self-determination and motivation theory

Journal
Cogent Social Sciences
ISSN
2331-1886
Date Issued
2024-01-24
Author(s)
Lai ChiMeng Patrick
Lobo Marques, Joao Alexandre 
Faculty of Business and Law 
DOI
10.1080/23311886.2023.2300515
Abstract
Government service mini-programs (GSMPs) in mobile payment have become integral to the eGovernment in China’s Greater Bay Area (GBA). The ubiquitous nature of WeChat and Alipay provides excellent flexibility for accessing public e-services. Yet, the determinants and mechanisms of adoption have not been identified. A convenience sample was collected from GBA core cities for statistical and SEM analysis. The findings suggest that service quality, trust in eGovernment, ubiquity, and social influence constitute the determinants. A structural model grounded on Self-Determination and Motivation
theory is verified, where perceived value and intention contribute a high explanatory power. Benevolence, integrity, and competence are crucial indicators of trust, while social influence amplifies risk perception. Surprisingly, government support negatively moderates the impact of determinants on intention, indicating that over-intervention leads to inhibition. The mechanism illustrates the beneficial impact of GSMPs as the smart government channel and provides insights into addressing service homogeneity and policy applicability. Relevant theoretical and managerial implications are instructive to
policymakers and practitioners of smart city innovation and in-depth integration in GBA.
Subjects

Mobile payment

government support

mini-program

service quality

trust

ubiquity

File(s)
No Thumbnail Available
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out.pdf

Type

main article

Size

2.6 MB

Format

Adobe PDF

Checksum

(MD5):6ac9f7dcfec4f464e3d43ca0710705c1


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