Understanding the Impact of Internet Regulations on e-Participation Through Fuzzy-set Qualitative Comparative Analysis

Supunmali Ahangama

IIM Kozhikode Society and Management Review2025https://doi.org/10.1177/22779752251329455article
AJG 2ABDC C
Weight
0.37

What the paper says

In this modern digital era, e-participation plays a vital role in fostering democratic governance and citizen engagement. However, internet regulatory frameworks can greatly influence the extent and type of e-participation initiatives. Internet regulations can be considered as two sides of the same coin. While increased government authority and control may deter people from taking part in e-participation initiatives, laws are necessary to promote a safe online environment. Drawing on complexity theory and the insights provided by fuzzy-set qualitative comparative analysis (fsQCA), this study investigates the multifaceted relationship between internet regulations and e-participation outcomes. The study used publicly available cross-sectional data from 134 countries for 2021 and 2022. Through an examination of diverse regulatory frameworks, including those on online content regulations, defamation, privacy and the availability of resources for internet regulations, it becomes evident that while regulations on privacy are effective for high e-participation, the government’s inability to regulate the internet leads to low e-participation. While strong internet laws and privacy laws are the core conditions for high e-participation, the absence of privacy laws is a core condition for low e-participation. Moreover, the government’s approach to regulation yields varying outcomes. The findings of this study would be useful to policymakers, stakeholders and researchers in understanding the configurations leading to high and low e-participation.

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https://doi.org/https://doi.org/10.1177/22779752251329455

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@article{supunmali2025,
  title        = {{Understanding the Impact of Internet Regulations on e-Participation Through Fuzzy-set Qualitative Comparative Analysis}},
  author       = {Supunmali Ahangama},
  journal      = {IIM Kozhikode Society and Management Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/22779752251329455},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.