Evidence map›Paper›PMID 39170200›Full record

ArticleHeliyon2024

Digital age: The path choice of government-citizen value co-creation.

Jinguang Guo, Hanqi Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jinguang GuoSchool of Public Administration, Dongbei University of Finance and Economics, NO.217 Jianshan Street, Shahekou District, Dalian City, Liaoning Province, China.
Hanqi ZhangSchool of Public Administration, Dongbei University of Finance and Economics, NO.217 Jianshan Street, Shahekou District, Dalian City, Liaoning Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the relationship between government and citizen in the digital age and proposes a specific path to realize the value co-creation of government and citizen in the digital age. Quantitative analysis of 40 policy texts on "digital government construction" of 30 provincial and municipal governments in China before November 2022 was conducted using NVivo12. The case of Minsheng Cloud revealed that provincial and municipal government departments have not paid sufficient attention to citizen participation. Furthermore, citizens' participation ability and enthusiasm are not high. The study found that in the process of strengthening the construction of digital government, "government optimisation", "citizen participation", "governance guarantee", "data governance" and "government digitization" are the key elements. We discuss the feasibility, necessity and coupling of the value co-creation theory to establish the benign interaction between government and citizens and realize co-creation. We find that the "DART" model can be co-created based on value, and that the continuous Improving the four aspects of "dialogue", "access", "transparency" and "risk assessment" will undoubtedly help realize the value co-creation of government and citizens in the digital era, and form a governance pattern of co-construction and sharing. It is therefore of great significance to promote the government's digital construction and digital governance capability to accelerate the construction of digital China and promote the modernisation of the national governance system and governance capability.

Indexed as

Citizen participationDART modelDigital governmentValue co-creation

Identifiers

PMID39170200
PMCPMC11336751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.