Understanding civil servants' intentions to open data: factors influencing behavior to disclose data

F. Kleiman, S. Jansen, S. Meijer, M. Janssen
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引用次数: 1

Abstract

PurposeThe opening of government data is high on the policy agenda of governments worldwide. However, data release faces barriers due to limited support of civil servants, whereas the literature neglects civil servants' role in opening data. This paper aims at understanding why civil servants can be reluctant to support the disclosure of data. The authors developed a model to explain civil servants' behavioral intention to open data.Design/methodology/approachThe authors test a series of hypotheses by collecting and analyzing survey data from 387 civil servants and by applying multivariate hierarchical regression.FindingsThe results indicate the factors influencing the behavior of civil servants. Social influences, performance expectancy, data management knowledge and risks have a significant influence. Personal characteristics control these effects.Research limitations/implicationsCaution is needed to generalize the findings towards the support to open data provision by civil servants. Though the analyzed sample was limited to Brazil, other countries and cultures might yield different outcomes. Larger and more diversified samples might indicate significant effects on variables not found in this research.Practical implicationsThe insights can be used to develop policies for increasing the support of civil servants towards governmental data disclosure.Originality/valueThis study suggests factors of influence to civil servants' behavior intentions to disclose governmental data. It results in a model of factors, specifically for their behavioral intention at the individual level.
了解公务员数据公开意向:影响数据公开行为的因素
目的政府数据开放是各国政府的重要政策议题。然而,由于公务员的支持有限,数据发布面临障碍,而文献忽视了公务员在开放数据中的作用。本文旨在了解为什么公务员可能不愿意支持数据披露。作者开发了一个模型来解释公务员开放数据的行为意向。设计/方法/方法作者通过收集和分析387名公务员的调查数据,运用多元层次回归,对一系列假设进行了检验。研究结果揭示了影响公务员行为的因素。社会影响、绩效预期、数据管理知识和风险具有显著影响。个人特征控制着这些影响。研究的局限/意义在将研究结果概括为支持公务员提供公开数据时,需要谨慎。虽然分析的样本仅限于巴西,但其他国家和文化可能会产生不同的结果。更大和更多样化的样本可能表明对本研究中未发现的变量有显著影响。实际意义这些见解可用于制定政策,以增加公务员对政府数据公开的支持。原创性/价值本研究探讨公务员披露政府数据行为意愿的影响因素。它产生了一个因素模型,特别是他们在个人层面的行为意图。
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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