Exploring the impact of national culture on the development of open government data: A cross-cultural analysis

IF 6.5 1区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Big Data & Society Pub Date : 2023-07-01 DOI:10.1177/20539517231206809

Xiaojuan Zhang, Farhan Khan, Xiaoguang Wang, Changle Tang

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Abstract

The development of open government data has attracted interest from academics and practitioners. However, only a few studies have examined a culture-based account of open government data development. This study empirically investigates the impact of national culture on open government data. Through the data investigation and analysis of 55 countries, this research finds that the development of open government data is positively linked with national culture with respect to individualism, indulgence and long-term orientation and is negatively related to power distance. Furthermore, this study shows that economic development moderates the relationship between national culture and open government data development, especially with respect to individualism and long-term orientation. Practically, the findings of this research can help policymakers better understand the multifaceted impacts of national culture on the development of open government data, including the promotion of cultural values (i.e. high individualism, high indulgence, and high long-term orientation) and the change in the passive and conservative attitude of citizens toward the openness of government data in countries where power distance culture is high.

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国家文化对政府数据开放发展的影响:跨文化分析

政府数据开放的发展已经引起了学术界和实践者的兴趣。然而，只有少数研究考察了基于文化的政府开放数据开发账户。本研究实证考察了民族文化对政府公开数据的影响。本研究通过对55个国家的数据调查分析发现，政府开放数据的发展与民族文化在个人主义、放纵和长期取向方面正相关，与权力距离负相关。此外，经济发展调节了民族文化与政府开放数据发展之间的关系，特别是在个人主义和长期取向方面。实际上，本研究的发现可以帮助决策者更好地理解民族文化对政府数据开放发展的多方面影响，包括在权力距离文化高的国家，文化价值观(即高度个人主义、高度放纵、高度长期导向)的提升，以及公民对政府数据开放的被动、保守态度的改变。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

10.90

自引率

10.60%

发文量

审稿时长

11 weeks

期刊介绍： Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.