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"Data stickiness" in interagency government data sharing: a case study.
- Source :
-
Journal of Documentation . 2021, Vol. 77 Issue 6, p1286-1303. 18p. - Publication Year :
- 2021
-
Abstract
- Purpose: The provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS. Design/methodology/approach: This study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script. Findings: The analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS. Originality/value: The case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00220418
- Volume :
- 77
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Documentation
- Publication Type :
- Academic Journal
- Accession number :
- 152930773
- Full Text :
- https://doi.org/10.1108/JD-04-2021-0087