Measuring the digital inclusion of women: a poset-based approach to the women in digital scoreboard.

Q1 Mathematics Quality & Quantity Pub Date : 2023-04-17 DOI:10.1007/s11135-023-01666-z
Filippo Damiani, Paula Rodríguez-Modroño
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引用次数: 1

Abstract

The participation of women in digital society is essential to achieving the objectives of Agenda 2030 and an essential component in the EU strategy for the digital transition. This article applies a poset-based approach to the European Women in Digital (WiD) Scoreboard, to examine the digital inclusion of women in EU Member States and in the UK. The poset methodology enables us to identify the most significant indicators for each of the dimensions of the Scoreboard, considering the EU-28 as well as different clusters of countries, and to construct a new ranking that deals with the shortcomings of the aggregative approaches, the pre-treatment of data and the full compensability effect generated by arithmetic means. Our results show that two indicators, STEM graduates and the unadjusted pay gap, are the most significant for achieving the digital inclusion of women. Our research contributes to better understanding the dynamics and the factors facilitating the digital inclusion of women in the EU-28 Member States, providing a clustering of EU countries into four performance groups depending on the digital inclusion of women. It also contributes to the design of more targeted and effective policies for integrating gender equality into the EU digital transition strategy.

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衡量女性的数字包容性:一种基于装腔作势的女性数字记分牌方法。
妇女参与数字社会对实现《2030年议程》的目标至关重要,也是欧盟数字转型战略的重要组成部分。本文将基于偏序集的方法应用于欧洲数字女性(WiD)记分牌,以研究欧盟成员国和英国女性的数字包容性。偏序集方法使我们能够在考虑欧盟28国以及不同国家集群的情况下,为记分牌的每个维度确定最重要的指标,并构建了一个新的排名,以解决聚合方法、数据预处理和算术方法产生的完全可补偿效应的缺点。我们的研究结果表明,STEM毕业生和未经调整的薪酬差距这两个指标对实现女性的数字化包容性最为重要。我们的研究有助于更好地了解欧盟28个成员国女性数字化包容的动态和因素,根据女性数字化包容情况,将欧盟国家分为四个绩效组。它还有助于制定更有针对性和有效的政策,将性别平等纳入欧盟数字转型战略。
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来源期刊
Quality & Quantity
Quality & Quantity 管理科学-统计学与概率论
CiteScore
4.60
自引率
0.00%
发文量
276
审稿时长
4-8 weeks
期刊介绍: Quality and Quantity constitutes a point of reference for European and non-European scholars to discuss instruments of methodology for more rigorous scientific results in the social sciences. In the era of biggish data, the journal also provides a publication venue for data scientists who are interested in proposing a new indicator to measure the latent aspects of social, cultural, and political events. Rather than leaning towards one specific methodological school, the journal publishes papers on a mixed method of quantitative and qualitative data. Furthermore, the journal’s key aim is to tackle some methodological pluralism across research cultures. In this context, the journal is open to papers addressing some general logic of empirical research and analysis of the validity and verification of social laws. Thus The journal accepts papers on science metrics and publication ethics and, their related issues affecting methodological practices among researchers. Quality and Quantity is an interdisciplinary journal which systematically correlates disciplines such as data and information sciences with the other humanities and social sciences. The journal extends discussion of interesting contributions in methodology to scholars worldwide, to promote the scientific development of social research.
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