The preliminary analysis of factors influencing cross-boundary data collaboratives: A quantitative study from the perspective of the public sector
Yang, Tung-Mou; Ma, Derick C.
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https://hdl.handle.net/2142/126208
Description
Title
The preliminary analysis of factors influencing cross-boundary data collaboratives: A quantitative study from the perspective of the public sector
Author(s)
Yang, Tung-Mou
Ma, Derick C.
Issue Date
2025-03-11
Keyword(s)
Open Data
Open Data Use
Data Collaborative
Partnership
Abstract
Under the existing infrastructure of open government data (OGD), cross-boundary data collaboratives are considered a promising approach to promote open data use and to help government agencies resolve their challenges and foster innovative applications. By using a survey and quantitative approach, this study explores the potential factors that may influence government agencies' intention to participate in data-driven collaborative partnerships. Additionally, it examines whether these influential factors have varying impacts on government agencies at different levels. The preliminary findings based on the empirical data analysis are briefly presented in this paper.
Publisher
iSchools
Series/Report Name or Number
iConference 2025 Proceedings
Type of Resource
Other
Genre of Resource
Conference Poster
Language
eng
Handle URL
https://hdl.handle.net/2142/126208
Copyright and License Information
Copyright 2025 is held by Tung-Mou Yang and Derick C. Ma. Copyright permissions, when appropriate, must be obtained directly from the authors.
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