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“Data stickiness” in interagency government data sharing: a case study

Lihong Zhou (School of Information Management, Wuhan University, Wuhan, China)
Longqi Chen (School of Information Management, Wuhan University, Wuhan, China)
Yingying Han (School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA)

Journal of Documentation

ISSN: 0022-0418

Article publication date: 7 June 2021

Issue publication date: 11 October 2021

674

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.

Keywords

Acknowledgements

Funding: This research is supported by The National Social Science Fund of China (17CTQ042).

Citation

Zhou, L., Chen, L. and Han, Y. (2021), "“Data stickiness” in interagency government data sharing: a case study", Journal of Documentation, Vol. 77 No. 6, pp. 1286-1303. https://doi.org/10.1108/JD-04-2021-0087

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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