Examining the white and dark sides of digitalisation effects on corruption: unveiling research patterns and insights for future research
Cristina Boța-Avram
Journal of Risk Finance, 2024, vol. 25, issue 2, 181-223
Abstract:
Purpose - This study aims to review the current literature on the positive and negative effects of digitalisation in preventing corruption. It analyses existing research patterns and provides recommendations for future studies. Design/methodology/approach - This paper employed bibliometric analysis and systematic review to scrutinise 190 papers from the Web of Science database from 2000 to 2023. Biblioshiny on R Studio was used for advanced bibliometric analysis to determine publication dynamics, influential journals, publications and impactful authors and a three-field plot to analyse relationships among countries, keywords and journals. Findings - This study provides a bibliometric analysis of the past and actual developments in the field related to the effects of digitalisation on corruption. Based on the systematic literature review on a sample of the 50 most influential articles, this study identified background theories employed, the primary research methodologies adopted and valuable insights into both the positive and negative aspects of the impact of digitalisation on corruption. Originality/value - This study provides an extended overview of the effects of digitalisation on corruption and advances new avenues for further research related to this field. The white and dark sides of the effects of digitalisation on corruption are highlighted. Furthermore, the study identifies the need for further research in this field to gain a more in-depth understanding of the nexus between digitalisation and corruption.
Keywords: Digitalisation; Corruption; Bibliometric analysis; e-government; Open government data; Digital tools; D73; M48; O33 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jrfpps:jrf-10-2023-0256
DOI: 10.1108/JRF-10-2023-0256
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