Digital capacity and employment outcomes: Microdata evidence from pre- and post-COVID-19 Europe

Männasoo, Kadri; Pareliussen, Jon; Saia, Artjom

doi:10.1016/j.tele.2023.102024

Cited by 5 publications

(2 citation statements)

References 58 publications

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“…Since the 2020 epidemic, digitization has accelerated, and online and digital resources have become a must for enterprises. Many occupations are gradually moving away from humans (Wu and Yang 2022;Männasoo et al 2023). It is obvious that the intelligent robot arm on the factory assembly line is poised to allow factory assembly line workers to exit the stage and move into history.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of artificial intelligence on employment: the role of virtual agglomeration

Shen,

Zhang

2024

Humanit Soc Sci Commun

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Sustainable Development Goal 8 proposes the promotion of full and productive employment for all. Intelligent production factors, such as robots, the Internet of Things, and extensive data analysis, are reshaping the dynamics of labour supply and demand. In China, which is a developing country with a large population and labour force, analysing the impact of artificial intelligence technology on the labour market is of particular importance. Based on panel data from 30 provinces in China from 2006 to 2020, a two-way fixed-effect model and the two-stage least squares method are used to analyse the impact of AI on employment and to assess its heterogeneity. The introduction and installation of artificial intelligence technology as represented by industrial robots in Chinese enterprises has increased the number of jobs. The results of some mechanism studies show that the increase of labour productivity, the deepening of capital and the refinement of the division of labour that has been introduced into industrial enterprises through the introduction of robotics have successfully mitigated the damaging impact of the adoption of robot technology on employment. Rather than the traditional perceptions of robotics crowding out labour jobs, the overall impact on the labour market has exerted a promotional effect. The positive effect of artificial intelligence on employment exhibits an inevitable heterogeneity, and it serves to relatively improves the job share of women and workers in labour-intensive industries. Mechanism research has shown that virtual agglomeration, which evolved from traditional industrial agglomeration in the era of the digital economy, is an important channel for increasing employment. The findings of this study contribute to the understanding of the impact of modern digital technologies on the well-being of people in developing countries. To give full play to the positive role of artificial intelligence technology in employment, we should improve the social security system, accelerate the process of developing high-end domestic robots and deepen the reform of the education and training system.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of artificial intelligence on employment: the role of virtual agglomeration

Shen,

Zhang

2024

Humanit Soc Sci Commun

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“…According to Männasoo et al (2023), the division of digital refers to description of disparities in, first, access to the virtual network and frequency of utilization, and second, proficiency in online network usage or the level of digital skills. In orthopaedic sports medicine, Peebles et al (2023) stated that it is crucial to consider how the absence of opportunities beyond the surgical setting due to the COVID-19 pandemic can have adverse effects on the training of sports medicine fellows.…”

Section: Literature Reviewmentioning

confidence: 99%

Malaysian Graduates Employability Challenges: A Critical Review

Beh,

Wong

2024

isc-beam

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The COVID-19 pandemic has had far-reaching implications for individuals, societies, and economies, disrupting established patterns in education, employment, and career trajectories. This paper explores a narrative review of the literature that studied the graduates’ employability post pandemic. Narrative review is suitable to be applied in this study, as it tends to achieve exploratory research where a new or emerging field is explored, providing holistic perspective in which a wide range of studies is summarized, consequently synthesizing diverse evidence that highlight the trends across various studies. This review highlights the multifaceted challenges facing Malaysian graduates, emphasizing the far-reaching circumstance of the COVID-19 pandemic on graduates' employment dynamics. It underscores disparities in the quality of employment, wage gaps, and the vulnerability of workers in informal sectors. A range of factors impacting employability can be considered, including self-efficacy, curriculum support, employability skills development, and work placement learning. The study also explores the impact of postgraduate studies on employment prospects, gender disparities in employability skills, and the significance of soft skills and non-technical skills in aviation careers. Furthermore, it delves into how graduates' knowledge and soft skills development vary by education level and how emerging concepts like Industry 5.0 are reshaping the employment landscape. Confronting globalization and evolving labor market dynamics, graduates must embrace self-development and adaptability so forth meeting the changing needs of the job market.

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Advanced digital skills of the Spanish population from 2015 to 2021. Socioeconomic and geographical factors according to an ordered probit model

Ruiz-Rodríguez,

Akoudad-Ekajouan,

González-Relaño

2023

Telematics and Informatics

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Digital capacity and employment outcomes: Microdata evidence from pre- and post-COVID-19 Europe

Cited by 5 publications

References 58 publications

The impact of artificial intelligence on employment: the role of virtual agglomeration

The impact of artificial intelligence on employment: the role of virtual agglomeration

Malaysian Graduates Employability Challenges: A Critical Review

Advanced digital skills of the Spanish population from 2015 to 2021. Socioeconomic and geographical factors according to an ordered probit model

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