{"title":"Understanding interagency relationships in the sharing of government data: a meta-analysis","authors":"Lihong Zhou, Jiangfeng Hu, Jie Xu","doi":"10.47989/irisic2246","DOIUrl":null,"url":null,"abstract":"This paper reports on a research study that aimed to understand and qualify the influences of interagency relationships on interagency government data sharing (IDS). Using a meta-analysis approach, 76 interviews previously collected from three city governments in China were analysed under the theoretical lens of a unified social network theory of inter-organisational relations (IOR). The meta-analysis shows that interagency data sharing is influenced by the constitution and determinants of interagency relationships. A conceptualisation of the findings indicated that tensions between government agencies are the core cause of the lack of interagency data sharing. Therefore, effective management of interagency tensions should become a central strategy for enhancing interagency data sharing. This paper provides a novel perspective on the conceptualisation of interagency data sharing problems and a new approach to strengthen interagency data sharing in practice.","PeriodicalId":47431,"journal":{"name":"Information Research-An International Electronic Journal","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Research-An International Electronic Journal","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.47989/irisic2246","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper reports on a research study that aimed to understand and qualify the influences of interagency relationships on interagency government data sharing (IDS). Using a meta-analysis approach, 76 interviews previously collected from three city governments in China were analysed under the theoretical lens of a unified social network theory of inter-organisational relations (IOR). The meta-analysis shows that interagency data sharing is influenced by the constitution and determinants of interagency relationships. A conceptualisation of the findings indicated that tensions between government agencies are the core cause of the lack of interagency data sharing. Therefore, effective management of interagency tensions should become a central strategy for enhancing interagency data sharing. This paper provides a novel perspective on the conceptualisation of interagency data sharing problems and a new approach to strengthen interagency data sharing in practice.
期刊介绍:
Information Research, is an open access, international, peer-reviewed, scholarly journal, dedicated to making accessible the results of research across a wide range of information-related disciplines. It is published by the University of Borås, Sweden, with the financial support of an NOP-HS Scientific Journal Grant. It is edited by Professor T.D. Wilson, and is hosted, and given technical support, by Lund University Libraries, Sweden.