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ARTICLE ‘Twenty years of gender equality research: A scoping review based on a new semantic indicator’

We share with you this interesting article in which our partners from the University of Pisa have participated as co-authors.

Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. Also Defence is impacted by this issue, as evidenced by the interest gained by the workshop  ‘Gender Equality in Aerospace and Defence’, organised by the Directorate General for Defence Industry and Space that took place last May, and we as ASSETs+ care about having an inclusive educational approach in defence. For this reason, we studied the state of the art literature on the topic.

In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research.

This paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, it provides a synthesis of 15,465 scientific articles.

The authors identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. Also find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise.

Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.

In the future, we aim at focusing gender studies also in the defence sector, to help attract talents independently from their gender.

Authors: Paola Belingheri ,Filippo Chiarello ,Andrea Fronzetti Colladon ,Paola Rovelli
Source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256474

ARTICLE: Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach

We share with you this interesting article in which our partners from the University of Pisa and Fondazione Giacomo Brodolini have participated as co-authors.

ESCO is a multilingual classification of Skills, Competences, Qualifications, and Occupations created by the European Commission to improve the supply of information on skills demand in the labour market. It is designed to assist individuals, employers, universities and training providers by giving them up to date and standardized information on skills.

Rapid technological change means that ESCO needs to be updated in a timely manner. Evidence is presented here of how text-mining techniques can be applied to the analysis of data on emerging skill needs arising from Industry 4.0 to ensure that ESCO provides information which is current.

The alignment between ESCO and Industry 4.0 technological trends is analysed. Using text mining techniques, information is extracted on Industry 4.0 technologies from: two versions of ESCO (v1.0 – v1.1.); and from the 4.0 related scientific literature. These are then compared to identify potential data gaps in ESCO .

The findings demonstrate that text mining applied on scientific literature to extract technology trends, can help policy makers to provide more up-to-date labour market intelligence.

Authors: Filippo Chiarello, Gualtiero Fantoni, Terence Hogarth, Vito Giordano, Liga Baltina, Irene Spada
Source: https://www.sciencedirect.com/science/article/pii/S0040162521006107

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