"Data stickiness" in interagency government data sharing: a case study. Issue 6 (7th June 2021)

• Record Type: Journal Article
• Authors: Zhou, Lihong; Chen, Longqi; Han, Yingying
• Is Part Of: Journal of documentation. Volume 77:Issue 6(2021)
• Page Start: 1286
• Page End: 1303
• Publication Date: 2021-06-07
• Subjects: Data sharing -- Data sharing tensions -- Data absorptive capacities -- Data stickiness -- e-government -- Interagency government data sharing; Documentation -- Periodicals; Library science -- Periodicals; 025
• DOI: 10.1108/JD-04-2021-0087
• Languages: English
• ISSNs: 0022-0418

Abstract

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.