wow-inequalities/02-data/intermediate/wos_sample/a5fa196a784140d22afc3bb348430082-atasoy-hilal-and-ba/info.yaml

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YAML

abstract: 'Job erosion is a major concern globally, especially given the COVID-19
pandemic. Unemployment and low wages remain pressing societal challenges
in the wake of increased automation, more so for traditionally
disadvantaged groups in the labor market, such as women, minorities, and
the elderly. However, workers who possess relevant information
technology (IT) skills might have an edge in an increasingly digital
economy. In this study, we examine the role of IT skills in labor market
outcomes for workers. We leverage a household IT use survey from an
emerging economy that captures detailed, individual-level data on IT
skills and IT use, which are also integrated with household labor force
survey data on workers'' wages, occupations, and industries between 2007
and 2015. We find that basic IT skills increase employment probability,
and these employment effects can be explained by both increased labor
force participation and a higher probability of transitioning from
unemployment to employment, after accounting for the decision to
participate in the workforce. Advanced IT skills are not significantly
associated with higher employment, conditioning on basic IT skills.
However, having advanced IT skills helps workers to earn higher wages
and incrementally increases the probability that they are employed in
higher-paid jobs. Interestingly, the effects of basic IT skills on
employment are significantly larger for the female and older workforce
that typically has a higher preference for flexible work options.
Additionally, IT skills complement occupations that have a higher share
of nonroutine tasks that cannot be performed by predefined rules. These
results emphasize the importance of providing necessary IT access and
basic IT training to traditionally socially disadvantaged groups to
reduce the IT skills gap and close the digital divide. We contribute to
the literature by providing evidence on the role of different IT skills
in the entire labor force across multiple occupations and demographics,
going beyond IT professionals and employed workers who have
predominantly been studied in the information systems literature. We
discuss implications for the future of work and education and public
policy for designing IT training policies for workers, students, and
organizations to stimulate employment for workers with higher wages,
particularly in developing economies and for traditionally disadvantaged
segments of the workforce, such as women and the elderly, particularly
after the COVID-19 pandemic.'
affiliation: 'Atasoy, H (Corresponding Author), Rutgers State Univ, Dept Accounting
\& Informat Syst, Piscataway, NJ 08854 USA.
Atasoy, Hilal, Rutgers State Univ, Dept Accounting \& Informat Syst, Piscataway,
NJ 08854 USA.
Banker, Rajiv D., Temple Univ, Dept Accounting, Philadelphia, PA 19122 USA.
Pavlou, Paul A., Univ Houston, Dept Decis \& Informat Sci, Houston, TX 77204 USA.'
author: Atasoy, Hilal and Banker, Rajiv D. and Pavlou, Paul A.
author-email: 'hilal.atasoy@rutgers.edu
banker@temple.edu
pavlou@bauer.uh.edu'
author_list:
- family: Atasoy
given: Hilal
- family: Banker
given: Rajiv D.
- family: Pavlou
given: Paul A.
da: '2023-09-28'
doi: 10.1287/isre.2020.0975
eissn: 1526-5536
files: []
issn: 1047-7047
journal: INFORMATION SYSTEMS RESEARCH
keywords: 'IT skills; general-purpose skills; employment; labor force
participation; wages; COVID-19'
keywords-plus: 'GENDER-DIFFERENCES; SAMPLE SELECTION; COHORT SIZE; JOB SKILLS;
KNOWLEDGE; EMPLOYMENT; PARTICIPATION; PROFESSIONALS; REQUIREMENTS;
POLARIZATION'
language: English
month: JUN
number: '2'
number-of-cited-references: '85'
orcid-numbers: Pavlou, Paul/0000-0002-8830-5727
pages: 437-461
papis_id: ae0db1e05b734c49524d5a64c35ccb08
ref: Atasoy2021informationtechnolog
times-cited: '7'
title: Information Technology Skills and Labor Market Outcomes for Workers
type: article
unique-id: WOS:000662862000010
usage-count-last-180-days: '22'
usage-count-since-2013: '147'
volume: '32'
web-of-science-categories: Information Science \& Library Science; Management
year: '2021'