Data · dataset · 2024
Dataset of the study "The impact of Internet use on public sector employees' public service motivation: Empirical evidence from digital service delivery in China"
Listed in Teesside University Research Data Repository
This study utilized pooled cross-sectional data from the China Netizens Social Awareness Survey (CNSAS, 2017) and the China Netizens Social Awareness Survey (CNSAS, 2018) conducted under the supervision of Professor Deyong Ma at Renmin University of China.
Description
The CNSAS surveys were fielded in two waves: April-May 2017 and August 2018. Each wave encompassed 33 provincial-level administrative regions across China.
The CNSAS 2017 incorporates the following variables: (1) The dependent variable includes Public Service Motivation (PSM), competence, relatedness and socialization. PSM is measured by four sub-dimensions: Achievement Motivation (APM), Commitment to Professional Values (CPV), Commitment to Organizational Mission (COM). (2) The independent variable includes Internet use, measured by collective involvement in online political news (CIOPN), individual involvement in online political news (IIOPN), collective involvement in online political expression (CIOPE), and individual involvement in online political expression (IIOPE).
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(3) The control variables includes age, political affiliation, gender, income level, and educational attainment. The CNSAS 2018 includes all thses variables except cocialization. Due to this data similarities, we combine both years into a pooled cross-sectional dataset.
We selected 956 government employees and staff from public institutions ("Shiye danwei") for analysis. The main text uses variables from the pooled data, as detailed in "Main text (1) - The Impact of Internet Use on Public Sector Employees' Public Service Motivation: Empirical Evidence from Digital Service Delivery in China," and variables from the 2017 data, as shown in "Main text (2) - The Impact of Internet Use on Public Sector Employees' Public Service Motivation: Empirical Evidence from Digital Service Delivery in China." The appendix using variables from the pooled cross-sectional data, as presented in "Appendix - The Impact of Internet Use on Public Sector Employees' Public Service Motivation: Empirical Evidence from Digital Service Delivery in China." Questionnaire Link: 1)2017: cnsda.org/index.php?r=projects/view&id=69084413 2)2018: cnsda.org/index.php?r=projects/view&id=83249950
Links
Where it is published
- DOI doi.org/10.17632/97spxrnhkm.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Public administration · Public policy · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/97spxrnhkm.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:440708 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Public Administration'] |
| concepts[field].anzsrc:field:440709 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Public Policy'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |