Evidence map›Paper›PMID 40267172›Full record

ArticlePloS one2025

Public demand and optimization of smart government service platform from the perspective of service life cycle based on the Kano model: A Chinese case study.

Yang Zhu, Yifan Peng, Lingling Xin, Xiao Zhang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yang ZhuSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.ORCID 0000-0001-8345-5884
Yifan PengSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
Lingling XinSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
Xiao ZhangChina Internet Network Information Center, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmart government is an effective way to promote government innovation and public services. However, in China, there is a mismatch between the development of smart government service platform and the demands of the public. Therefore, this study aims to clarify the categories and priorities of public demands in smart government services from service life cycle perspective.

methodsBased on the service life cycle perspective, 29 public demands in government services were summarized. A self-designed questionnaire was designed and distributed to the public using the "Jingtong" smart government service platform in Beijing. Based on 648 valid questionnaires collected, the Kano model was used to analyze the category attributes of demands, and the traditional classification and other two coefficient analysis methods were used to prioritize the demands.

resultsThe analysis of the collected questionnaires shows that personal privacy should be prioritized as it is the prerequisite for the widespread use of smart government services. Then, one-dimensional quality and attractive quality should be satisfied such as decision-making and intelligent scheduling demands, as they are central to the capability leap of smart government services. Additionally, must-be quality should be satisfied such as information sharing demand, as they are foundation of smart government services. Lastly, the quick response demand should be transformed into other demand types.

conclusionsThis study analyzes public demands at various stages from the perspective of the service life cycle, based on the prioritization of demands, proposes targeted optimization strategies for smart government service platform in the guide, interaction, processing, and evaluation periods. This provides important references for the overall construction of smart government.

Indexed as

GovernmentGovernment ProgramsChinaHumansModels, TheoreticalSurveys and Questionnaires

Identifiers

PMID40267172
PMCPMC12017524

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.