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Digital government transformation: A structural equation modelling analysis of driving and impeding factors

Author

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  • Tangi, Luca
  • Janssen, Marijn
  • Benedetti, Michele
  • Noci, Giuliano

Abstract

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.

Suggested Citation

  • Tangi, Luca & Janssen, Marijn & Benedetti, Michele & Noci, Giuliano, 2021. "Digital government transformation: A structural equation modelling analysis of driving and impeding factors," International Journal of Information Management, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:ininma:v:60:y:2021:i:c:s0268401221000499
    DOI: 10.1016/j.ijinfomgt.2021.102356
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    Citations

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    Cited by:

    1. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Guo, Chuanyin & Song, Qiwei & Yu, Ming-Miin & Zhang, Jian, 2024. "A digital economy development index based on an improved hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1146-1157.
    3. David, Sofia & Zinica, Daniel & Bărbuță-Mișu, Nicoleta & Savga, Larisa & Virlanuta, Florina-Oana, 2024. "Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    4. Di Wang & Xuefeng Shao & Yang Song & Hualu Shao & Longqi Wang, 2023. "The Effect of Digital Transformation on Manufacturing Enterprise Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 593-593, April.
    5. Mishra, Deepa Bhatt & Haider, Imran & Gunasekaran, Angappa & Sakib, Md. Nazmus & Malik, Nishtha & Rana, Nripendra P., 2023. "“Better together”: Right blend of business strategy and digital transformation strategies," International Journal of Production Economics, Elsevier, vol. 266(C).

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