Public Perception and Evaluation of Blockchain Technology for Enhancing Government Financial Accountability

This research aimed to determine the extent to which the public trusts blockchain technology in enhancing government financial management, based on integrating selected constructs from the Technology Acceptance Model and the government factors. This research uses an online survey with Jakartans as its research objects, whose age is between 20 and 40 years old with at least a bachelor graduate. The data analysis uses the SmartPLS software, which follows the SEM-PLS approach. From the study findings, it is evident that trust in government bore a significant influence on citizens' trust in blockchain solutions. Strikingly, the legal environment did not represent a significant factor in trust, while awareness of initiatives on blockchain had a positive influence on public trust. Perceived usefulness bore positively on trust, and perceived risks bore negatively in driving trust in blockchain solutions. These results, therefore, imply that citizens are ready to trust blockchain for the enhancement of government financial accountability and transparency. Future studies should extend to other variables, such as cultural and economic background, in order to provide further insight into public perception of blockchain technology.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icimcis63449.2024.10957125
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Public Perception and Evaluation of Blockchain Technology for Enhancing Government Financial Accountability

Siti Elda Hiererra, Ang Swat Lin Lindawati, Reuben Juniarta
Impact of AI and Big Data on Business and Society
article

Public Perception and Evaluation of Blockchain Technology for Enhancing Government Financial Accountability

Siti Elda Hiererra, Ang Swat Lin Lindawati, Reuben Juniarta
article en

Abstract

This research aimed to determine the extent to which the public trusts blockchain technology in enhancing government financial management, based on integrating selected constructs from the Technology Acceptance Model and the government factors. This research uses an online survey with Jakartans as its research objects, whose age is between 20 and 40 years old with at least a bachelor graduate. The data analysis uses the SmartPLS software, which follows the SEM-PLS approach. From the study findings, it is evident that trust in government bore a significant influence on citizens' trust in blockchain solutions. Strikingly, the legal environment did not represent a significant factor in trust, while awareness of initiatives on blockchain had a positive influence on public trust. Perceived usefulness bore positively on trust, and perceived risks bore negatively in driving trust in blockchain solutions. These results, therefore, imply that citizens are ready to trust blockchain for the enhancement of government financial accountability and transparency. Future studies should extend to other variables, such as cultural and economic background, in order to provide further insight into public perception of blockchain technology.

Binus University (ID)
Openalex Percentile: Top 65%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Public Perception and Evaluation of Blockchain Technology for Enhancing Government Financial Accountability — Siti Elda Hiererra, Ang Swat Lin Lindawati, et al. · (2024) | TGRS Research Map | TGRS