Paradoxes in Digital Government: A Systematic Literature Review

Yifan Wang, Bing Ran, Liang Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study aims to unravel the complexities of paradoxes in digital government. Through a focused analysis of 35 rigorously selected articles, adhering to PRISMA guidelines, this research codifies seven paradoxes, categorized into ‘Internal Governance Paradoxes’ and ‘External Engagement Paradoxes’. These paradoxes arise from conflicting values among governments, employees, citizens, and businesses, reflecting both the intricacies of decision-making within government organizations and the dynamics of their interactions with external stakeholders. This paper also proposes a handling strategy that guides stakeholders in collaboratively creating public value through interventions in technology, organization, and environment (TOE). By mapping the landscape of digital government paradoxes and suggesting potential mechanisms for their resolution, this study contributes to the field, paving the way for more effective and coherent digital governance strategies.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th Annual International Conference on Digital Government Research, DGO 2024
EditorsHsin-Chung Liao, David Duenas Cid, Marie Anne Macadar, Flavia Bernardini
PublisherAssociation for Computing Machinery
Pages776-788
Number of pages13
ISBN (Electronic)9798400709883
DOIs
StatePublished - Jun 11 2024
Event25th Annual International Conference on Digital Government Research, DGO 2024 - Taipei, Taiwan, Province of China
Duration: Jun 11 2024Jun 14 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference25th Annual International Conference on Digital Government Research, DGO 2024
Country/TerritoryTaiwan, Province of China
CityTaipei
Period6/11/246/14/24

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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