Covid-19-induced digitalization in the labour market: A systematic review

The recent COVID-19 pandemic crisis has led to the rapid digitalization which significantly causes changes the labour market structures. Although digitalization is often associated with higher productivity, however, the implications of automation may have some critical challenges to the labour marke...

Full description

Saved in:
Bibliographic Details
Main Author: Wong, Sing Yun
Format: Article
Language:English
Published: Universidad de Almería 2022
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/34269/1/Covid-19-induced%20digitalization%20in%20the%20labour%20market%2C%20A%20systematic%20review.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/34269/
https://ojs.ual.es/ojs/index.php/eea/article/view/7235
https://doi.org/10.25115/eea.v40i2.7235
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ums.eprints.34269
record_format eprints
spelling my.ums.eprints.342692022-09-27T01:25:26Z https://eprints.ums.edu.my/id/eprint/34269/ Covid-19-induced digitalization in the labour market: A systematic review Wong, Sing Yun HD5701-6000.9 Labor market. Labor supply. Labor demand Including unemployment, manpower policy, occupational training, employment agencies The recent COVID-19 pandemic crisis has led to the rapid digitalization which significantly causes changes the labour market structures. Although digitalization is often associated with higher productivity, however, the implications of automation may have some critical challenges to the labour market and future employment. This paper aims to explore the implications that pandemic-induced digitalization may have on the labour market. By employing the systematic literature review approach, this paper will gather the relevant past literature evidences to determine the consequences and economic benefits of the digital transformation that has been triggered by the COVID-19 crisis. The main findings from this review indicated that the pandemic crisis has likely resulted the acceleration of digitalization and changes the nature of work in many occupations. Next, the results of the review further pointed out the implications of digitalization in employment by causing job displacement, resulting youth unemployment, causes diminishing demand for low-skill workers, and increasing inequality. However, there are suggestion that there could be positive benefits from the digital transformation experienced. Hence, a future research is encourage to explore the public policy solutions that can be implemented to support an inclusive and efficient digital transformation. Universidad de Almería 2022-05-30 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34269/1/Covid-19-induced%20digitalization%20in%20the%20labour%20market%2C%20A%20systematic%20review.ABSTRACT.pdf Wong, Sing Yun (2022) Covid-19-induced digitalization in the labour market: A systematic review. Studies of Applied Economic, 40. ISSN 1133-3197 (P-ISSN) , 1697-5731 (E-ISSN) https://ojs.ual.es/ojs/index.php/eea/article/view/7235 https://doi.org/10.25115/eea.v40i2.7235
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic HD5701-6000.9 Labor market. Labor supply. Labor demand Including unemployment, manpower policy, occupational training, employment agencies
spellingShingle HD5701-6000.9 Labor market. Labor supply. Labor demand Including unemployment, manpower policy, occupational training, employment agencies
Wong, Sing Yun
Covid-19-induced digitalization in the labour market: A systematic review
description The recent COVID-19 pandemic crisis has led to the rapid digitalization which significantly causes changes the labour market structures. Although digitalization is often associated with higher productivity, however, the implications of automation may have some critical challenges to the labour market and future employment. This paper aims to explore the implications that pandemic-induced digitalization may have on the labour market. By employing the systematic literature review approach, this paper will gather the relevant past literature evidences to determine the consequences and economic benefits of the digital transformation that has been triggered by the COVID-19 crisis. The main findings from this review indicated that the pandemic crisis has likely resulted the acceleration of digitalization and changes the nature of work in many occupations. Next, the results of the review further pointed out the implications of digitalization in employment by causing job displacement, resulting youth unemployment, causes diminishing demand for low-skill workers, and increasing inequality. However, there are suggestion that there could be positive benefits from the digital transformation experienced. Hence, a future research is encourage to explore the public policy solutions that can be implemented to support an inclusive and efficient digital transformation.
format Article
author Wong, Sing Yun
author_facet Wong, Sing Yun
author_sort Wong, Sing Yun
title Covid-19-induced digitalization in the labour market: A systematic review
title_short Covid-19-induced digitalization in the labour market: A systematic review
title_full Covid-19-induced digitalization in the labour market: A systematic review
title_fullStr Covid-19-induced digitalization in the labour market: A systematic review
title_full_unstemmed Covid-19-induced digitalization in the labour market: A systematic review
title_sort covid-19-induced digitalization in the labour market: a systematic review
publisher Universidad de Almería
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/34269/1/Covid-19-induced%20digitalization%20in%20the%20labour%20market%2C%20A%20systematic%20review.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/34269/
https://ojs.ual.es/ojs/index.php/eea/article/view/7235
https://doi.org/10.25115/eea.v40i2.7235
_version_ 1760231272649588736
score 13.211869