开放政府数据与自我效能:通过调查实验的微观基础实证

IF 7.8 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Government Information Quarterly Pub Date : 2024-10-18 DOI:10.1016/j.giq.2024.101975
Kuang-Ting Tai , Pallavi Awasthi , Ivan P. Lee
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引用次数: 0

摘要

关于政府开放和开放政府数据的潜在影响的研究并不新鲜。然而,能够验证宏观理论的微观层面影响的实证证据却特别有限。本研究以社会认知理论为基础,通过实证研究以开放数据格式传播政府信息如何影响个人的自我效能感(公众参与的关键预测因素),为相关文献做出了贡献。基于在美国进行的两轮在线调查实验,研究结果显示,接触开放式政府数据与感知自我效能下降有关,从而导致参与公共事务的信心下降。这一结果虽然与乐观的假设相反,但与其他一些实证研究相一致,并强调了重新考虑政府信息传播形式的必要性。政策影响建议进一步校准开放数据应用,以专业技能人才为目标。本研究强调了实验复制和理论发展作为未来研究议程关键组成部分的重要性。
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Open government data and self-efficacy: The empirical evidence of micro foundation via survey experiments
Research on the potential impacts of government openness and open government data is not new. However, empirical evidence regarding the micro-level impact, which can validate macro-level theories, has been particularly limited. Grounded in social cognitive theory, this study contributes to the literature by empirically examining how the dissemination of government information in an open data format can influence individuals' perceptions of self-efficacy, a key predictor of public participation. Based on two rounds of online survey experiments conducted in the U.S., the findings reveal that exposure to open government data is associated with decreased perceived self-efficacy, resulting in lower confidence in participating in public affairs. This result, while contrary to optimistic assumptions, aligns with some other empirical studies and highlights the need to reconsider the format for disseminating government information. The policy implications suggest further calibration of open data applications to target professional and skilled individuals. This study underscores the importance of experiment replication and theory development as key components of future research agendas.
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来源期刊
Government Information Quarterly
Government Information Quarterly INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
15.70
自引率
16.70%
发文量
106
期刊介绍: Government Information Quarterly (GIQ) delves into the convergence of policy, information technology, government, and the public. It explores the impact of policies on government information flows, the role of technology in innovative government services, and the dynamic between citizens and governing bodies in the digital age. GIQ serves as a premier journal, disseminating high-quality research and insights that bridge the realms of policy, information technology, government, and public engagement.
期刊最新文献
A more secure framework for open government data sharing based on federated learning Does trust in government moderate the perception towards deepfakes? Comparative perspectives from Asia on the risks of AI and misinformation for democracy Open government data and self-efficacy: The empirical evidence of micro foundation via survey experiments Transforming towards inclusion-by-design: Information system design principles shaping data-driven financial inclusiveness Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector
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