Technology married to good governance and diversity: Explaining e-participation preparedness in government

Seulki Lee-Geiller

Technological Forecasting and Social Change, 2024, vol. 201, issue C

Abstract: Enabling citizen participation using governmental online platforms, namely, e-participation, has emerged as an innovative mode of open and collaborative governance. Previous studies have emphasized technological conditions to explain the varying availability of e-participation tools on government websites among countries. However, the United Nations' E-Participation Index has identified a mismatch between technological infrastructure development and e-participation preparedness in government. To address this gap, this study used an integrative framework that highlights social and institutional aspects in addition to technological conditions to build a rigorous predictive statistical model. We conducted principal component analysis on five datasets spanning a period of 16 years, covering 181 countries. The results, cross-validated through regression analysis, indicate that good governance dispositions, supported by well-established telecommunication infrastructure, and demographic diversity in terms of race, religion, and language largely predict government behavior in preparing for e-participation. This finding offers valuable insights into the dynamic interaction among government, technology, and society in open governance. This study also provides fresh perspectives for policymakers to consider.

Keywords: E-participation; Good governance; Diversity in society; Principal component analysis; Collaborative governance; Open government (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162524000143
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:201:y:2024:i:c:s0040162524000143

DOI: 10.1016/j.techfore.2024.123218

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().