Future Skills of Flight Attendants in Times of COVID-19-Related Job Uncertainty—The Case of Germany

Bremer, Kirsten Friederike; Maertens, Sven

doi:10.3390/admsci11040154

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…Megállapításaim alapján öt, jól elkülöníthető kategóriába sikerült sorolnom a publikációkat. A szakmaspecifikus cikkek (Bremer -Maertens, 2021;Tsiligiris -Bowyer, 2021;Bottrill, 2022;Kovács -Keresztes, 2022;Macpherson et al, 2022;Ylitalo et al, 2022és Derwik -Hellström, 2023 esetén mind fehérgalléros szellemi, mind kékgalléros fizikai munkakörökkel is foglalkozott a szakirodalom. Az elmúlt 3 évben kiemelt hangsúly helyeződött fiatal, frissdiplomás személyek foglalkoztathatósági sajátosságaira, így a második kategóriában ezen cikkek szerepelnek.…”

Section: Eredményekunclassified

Jövőbiztos készségek – Várhatóan mire lesz szükség a jövő munkahelyein?

Boros

2024

RSZ

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Advances in Artificial Intelligence and robotics have made it possible to automate many high-level cognitive skills, but different jobs and occupations may be affected differently by technological developments. High-skilled occupations are less at risk of automation, as they also require skills and competences that remain important bottlenecks to automation. However, according to OECD 2022 results, the jobs most at risk from automation will not disappear completely, as only 18-27% of the skills and competences required in these occupations are highly automatable. Rather, it is likely that the organisation of work will need to be radically changed and that workers in these jobs will need to retrain as technology replaces workers in many tasks. In my study, I aim to summarise, based on the literature of recent years, the key skills that will potentially equip workers for the diverse workplace demands of the near future, arising from technological developments. I conducted a keyword search of the Scopus database for future jobs, workplaces, occupations, skills, abilities and competences. I narrowed down the search results to the period 2021-2023, English language journal articles, economic and business fields and relevant keywords associated with the articles by the authors. In addition to these articles, I also reviewed the reporting materials of other relevant professional organisations (OECD, World Economic Forum) for the period. The geographical, regional and territorial differentiation of the studies was taken into account. In my findings, I have also discussed the role of universities and other educational institutions in meeting the employability expectations of the Fourth Industrial Revolution in order to ensure that they can provide skills that are as relevant as possible to market expectations. I will highlight the top 69 skills identified in the hospitality industry and their groupings, and the elements of the 4 important skill groups identified for accountancy professionals. I also cover the future-proof skills that entrepreneurs are expected to have. In general, I will describe the appreciation of soft skills based on the academic findings of recent years. The results collected can also serve as useful information for individual human capital investment decisions, organisational training and even the design of training frameworks for educational institutions.

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Section: Eredményekunclassified

Jövőbiztos készségek – Várhatóan mire lesz szükség a jövő munkahelyein?

Boros

2024

RSZ

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“…This low demand increased layoffs among flight crews [20,21]. Additionally, even though safe flying strategies to contain the spread of SARS-CoV-2 in cabins had been designed and implemented by the International Air Transportation Association in 2020 [22] and high-efficient filtering techniques had been used in aircrafts [19], flight crews were still vulnerable to the increasing risk of SARS-CoV-2 infection and mental health burdens during work [23,24], as well as employment uncertainty [21,25]. Sailors, another vulnerable population during the COVID-19 pandemic who also needed to travel due to occupational demand, were constantly gathered in confined working spaces in which SARS-CoV-2 could spread quickly [26,27].…”

Section: Introductionmentioning

confidence: 99%

Social Network Analysis on the Mobility of Three Vulnerable Population Subgroups: Domestic Workers, Flight Crews, and Sailors during the COVID-19 Pandemic in Hong Kong

Alipio

Wan

et al. 2022

IJERPH

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Background: Domestic workers, flight crews, and sailors are three vulnerable population subgroups who were required to travel due to occupational demand in Hong Kong during the COVID-19 pandemic. Objective: The aim of this study was to explore the social networks among three vulnerable population subgroups and capture temporal changes in their probability of being exposed to SARS-CoV-2 via mobility. Methods: We included 652 COVID-19 cases and utilized Exponential Random Graph Models to build six social networks: one for the cross-sectional cohort, and five for the temporal wave cohorts, respectively. Vertices were the three vulnerable population subgroups. Edges were shared scenarios where vertices were exposed to SARS-CoV-2. Results: The probability of being exposed to a COVID-19 case in Hong Kong among the three vulnerable population subgroups increased from 3.38% in early 2020 to 5.78% in early 2022. While domestic workers were less mobile intercontinentally compared to flight crews and sailors, domestic workers were 1.81-times in general more likely to be exposed to SARS-CoV-2. Conclusions: Vulnerable populations with similar ages and occupations, especially younger domestic workers and flight crew members, were more likely to be exposed to SARS-CoV-2. Social network analysis can be used to provide critical information on the health risks of infectious diseases to vulnerable populations.

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