Analysis of gender wage gap in Lithuania

Lauzadyte-Tutliene, Agne; Mikuciauskaite, Paulina

doi:10.14254/2071-789x.2022/15-2/11

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Stereotypes can induce incorrect assessments that can bias decisions or expectations of performance (Hentschel et al, 2018;Hentschel et al, 2019). These biases are typical also for employers in their managerial decisions regarding female employees (Samoliuk et al, 2022) which, in their turn, encourage women to seek new possibilities with higher-paid positions (Lauzadyte-Tutliene & Mikuciauskaite, 2022). No doubt, some gender-related issues can influence the organizational outcomes, especially in services (Shava, 2021).…”

Section: Introductionmentioning

confidence: 99%

Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence

Craiut¹,

Iancu²

2022

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Artificial Intelligence implies computer systems capable of mimicking human-like intelligence and competencies. In the nowadays society it is an exciting topic, thus, technology’s gender features and roles are of great interest as well. As the literature is still scarce and inconsistent, the present paper aims to develop a systematic literature review on gender stereotypes attached to technology (virtual assistants and robots). The main goals are to emphasize the labels given to technology from a gender perspective, the perceived competencies of the gendered technology, the most relevant variables responsible for the way gender issues are perceived in connection with technology, and the proposed solutions for diminishing the technology gender stereotypes. Forty-five scientific papers have been selected and analyzed. Findings suggest that the most intelligent technologies are designed as females, male-gendered technology performs better in task-solving, and users’ age and technology’s visual representation are important variables in perception.

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Section: Introductionmentioning

confidence: 99%

Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence

Craiut¹,

Iancu²

2022

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Phenomena of precarity among young graduates – Hungarian case study

Fónai

Fedor

2023

Economics &Amp; Sociology

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ABSTRACT. In our study we analyse the risk factors of precarity among young graduates. We aim to explore the characteristics that can turn young graduates towards precarity. The position of young graduates is better on the labor market than that of job seekers with lower qualification. Nevertheless, there are some risk factors that can also affect young graduates, such as the uncertainty on the labor market, and the chance and danger of falling into precarity. In this paper, different interpretations of and approaches to precarity are validated as a theoretical framework, taking into account the main theories dealing with the concept of precarity and with precarity as a class. We focus on young graduates as a group at risk of precarity, and thus also analyse the theories dealing with their situation. Our empirical investigation tests the claims of the main theories. For this purpose, we conduct a secondary analysis of the 2018 database of the Graduate Tracking System based on the responses of 15 102 recent graduates. Studies show that the risk of precariousness in Hungary is mainly shaped by the level of education and the post-graduation job. However, since no similar empirical analysis has been conducted for the country, our study is exploratory in nature, which gives it both its value in terms of novelty and its limitations.

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The impact of minimum wage increases on unemployment in the V4 countries: Assessing the recommendations of the European Commission

Tkacova,

Gavurova,

Gontkovicova

2024

Journal of International Studies

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The European Commission has recently implemented legislative measures to improve worker protection through an adequate minimum wage set by national laws or collective agreements. A recommended benchmark for minimum wage calculation is 60% of the gross median wage or 50% of the mean wage. However, the Kaitz index, a ratio indicator, shows lower values in most EU countries, raising concerns about potential negative impact on the labour market. This study aims to identify the impact of the Kaitz index and several other selected variables on unemployment in the V4 countries. Using multiple linear regression, we concluded that the Kaitz index’s growth does not uniformly impact unemployment in the V4 countries. Specifically, in Slovakia and the Czechia, the Kaitz index growth appeared to increase unemployment, in line with neoclassical economic theory. In contrast, Hungary and Poland did not register significant effects. Gender differences were also noted, with the Kaitz index affecting female unemployment in the Czechia and Hungary, and male unemployment in Slovakia. The research results suggest that increasing the minimum wage in the V4 countries is feasible if its growth rate is higher than that of unemployment benefits and the living minimum, but lower than the average wage growth, and if it is supported by economic growth.

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Analysis of gender wage gap in Lithuania

Cited by 3 publications

References 17 publications

Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence

Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence

Phenomena of precarity among young graduates – Hungarian case study

The impact of minimum wage increases on unemployment in the V4 countries: Assessing the recommendations of the European Commission

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