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06-05-2024

Digital Literacy, Sustainable Development and Radiation Regulation: Policy and Information Systems Implications

Authors: Farid Gasmi, Paul Noumba Um, Laura Recuero Virto, Peter Saba

Published in: Information Systems Frontiers

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Abstract

This paper explores the convergence of development economics, regulatory policies, and public health considerations within the field of Information Systems (IS) research, focusing specifically on 5G and 6G mobile technologies. Despite the widespread deployment of these technologies and their potential health implications, there is a limited understanding in IS literature on why countries adopt varying thresholds for radiation regulation. Our study, analyzing data from 124 countries, uncovered an inverted U-shaped relationship between digital literacy and the rigidity of radiation regulation. This finding reveals that nations with lower digital literacy levels tend to enforce stricter regulations, whereas those with higher literacy levels adopt more relaxed policies. By highlighting how digital literacy, a critical aspect of the digital divide, significantly influences regulatory frameworks in telecommunications, this study contributes to filling the gap in IS research. This underscores the necessity of informed and transparent regulatory decision making, especially in countries with diverse levels of digital literacy. Calling for a multidisciplinary approach to policy formulation, our work enriches the broader discourse in IS research, underlining the pivotal role of digital literacy in shaping both the access and regulatory landscapes of emerging technologies.

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Appendix
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Footnotes
6
Probit and Logit models perform similarly independently of the sample size, the correlation structure, and the root mean square error (Jose et al., 2020).
 
7
Probit models facilitate the analysis of the effect of changes in the values of explanatory variables on probability estimates. With OLS models, the estimated parameters are constant for all values of the explanatory regressor. Furthermore, under Probit models the probability estimates fall in the 0–1 range and result in smaller Type I errors, i.e., probabilities of rejecting the null hypothesis given that it is true, than OLS models (Stone and Rasp, 1991).
 
8
The error term \({\varepsilon }_{i}\) is heteroskedastic and nominal significance levels associated with the test statistics may not be reliable. See McFadden (1972) for a more detailed discussion.
 
9
This sample size with a dichotomous dependent variable is common in accounting studies.
 
10
Data from GSMA and Chiaraviglio et al. (2022) differ on the country coverage. There are divergent values between those sources for Bulgaria and Iraq and the latter has been excluded from the datasets used in this paper.
 
11
Decentralization data in this paper are based on Ivanyna and Shah (2012) given their country coverage.
 
12
These figures are available from the authors upon request.
 
13
Estimations were done with Stata.
 
14
In general terms, children may be more exposed to radiation than adults because of their morphology and anatomy, a moderate use of mobile phones is recommended prioritizing the use of hand-free kits to avoid the proximity with the head (ANSES, 2016).
 
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Metadata
Title
Digital Literacy, Sustainable Development and Radiation Regulation: Policy and Information Systems Implications
Authors
Farid Gasmi
Paul Noumba Um
Laura Recuero Virto
Peter Saba
Publication date
06-05-2024
Publisher
Springer US
Published in
Information Systems Frontiers
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-024-10488-9

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