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Digital government transformation: A structural equation modelling analysis of driving and impeding factors
International Journal of Information Management ( IF 20.1 ) Pub Date : 2021-04-27 , DOI: 10.1016/j.ijinfomgt.2021.102356
Luca Tangi , Marijn Janssen , Michele Benedetti , Giuliano Noci

Digital technologies are transforming the public sector by affecting applications, processes, culture, structure, and civil servants’ responsibilities and tasks. Yet, there is a void in research about driving and impeding factors influencing digital government transformation (DGT). The article contributes to the current debate on DGT by quantitatively assessing the transformation and its driving and impeding factors. The analyses were performed by collecting and analyzing through structural equation modeling 491 answers to a survey to Italian administrations. Results show that DGT is influenced by a combination of different factors, including the sense of urgency, the need for change, and the creation of a collaborative environment, suggesting that more effort is required for including public managers in the current debate on DGT. Organizational barriers and lack of support are impeding factors. Finally and counter-intuitively, resistance to change was not found to impede the transformation.



中文翻译:

数字政府转型:驱动因素和阻碍因素的结构方程模型分析

数字技术通过影响应用程序,流程,文化,结构以及公务员的职责和任务,正在改变着公共部门。但是,关于影响数字政府转型(DGT)的驱动因素和阻碍因素的研究尚无空白。本文通过定量评估转换及其驱动因素和阻碍因素,为当前有关DGT的辩论做出了贡献。这些分析是通过收集和分析结构方程模型491对意大利政府进行的调查得出的答案而进行的。结果表明,DGT受多种因素的综合影响,包括紧迫感,变革的需要和协作环境的创建,这表明需要更多的努力才能将公共管理人员包括在当前有关DGT的辩论中。组织障碍和缺乏支持是阻碍因素。最后,与直觉相反,没有发现对变化的抵抗会阻碍这种转变。

更新日期:2021-04-28
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