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Improving Open Government Data Performance of Local Governments: A Configurational Analysis Based on TOE Framework

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成果类型:
期刊论文
作者:
Mo, Fuchuan;Zhang, Xiaojuan*;Feng, Cuicui
通讯作者:
Zhang, Xiaojuan
作者机构:
[Mo, Fuchuan; Zhang, Xiaojuan] School of Information Management, Wuhan University, Wuhan, China
[Feng, Cuicui] School of Information Management, Central China Normal University, Wuhan, China
通讯机构:
[Zhang, Xiaojuan] S
School of Information Management, Wuhan University, Wuhan, China
语种:
英文
关键词:
Open government data;OGD performance;TOE framework;fsQCA;configurational paths
期刊:
Journal of Integrated Design & Process Science
ISSN:
1092-0617
年:
2023
卷:
Preprint
期:
Preprint
页码:
1-26
机构署名:
本校为其他机构
院系归属:
信息管理学院
摘要:
Open Government Data (OGD) is leading the way towards digitization, intelligence, and transparency of public services and government decision-making. Aiming at elucidating the configurational path of OGD performance of local governments, this paper employs the technology-organization-environment (TOE) framework and the fuzzy set qualitative comparative analysis (fsQCA) to explore the key factors and configuration paths of OGD performance from the cases of 31 provincial OGD practice in China. Results indicate that OGD performance depends on the combination of technical, organizational, and exte...

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