The Impact on Employability by COVID-19 Pandemic - AI Case Studies
Paper
Paper/Presentation Title | The Impact on Employability by COVID-19 Pandemic - AI Case Studies |
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Presentation Type | Paper |
Authors | Bandi, Venkata Bharath, Tao, Xiaohui, Shaik, Thanveer, Yong, Jianming and Zhang, Ji |
Journal or Proceedings Title | Proceedings of the 24th International Conference on Web Information Systems Engineering (WISE 2023) |
Journal Citation | 14306, pp. 850-864 |
Number of Pages | 15 |
Year | 2023 |
Publisher | Springer |
Place of Publication | Singapore |
ISBN | 9789819972531 |
9789819972548 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-981-99-7254-8_66 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-981-99-7254-8_66 |
Web Address (URL) of Conference Proceedings | https://link.springer.com/book/10.1007/978-981-99-7254-8 |
Conference/Event | 24th International Conference on Web Information Systems Engineering (WISE 2023) |
Event Details | 24th International Conference on Web Information Systems Engineering (WISE 2023) Parent International Conference on Web Information Systems Engineering Delivery In person Event Date 25 to end of 27 Oct 2023 Event Location Melbourne, Australia Rank A A A A |
Abstract | The COVID-19 pandemic has had far-reaching effects on society, the economy, and mental health. The service industry, particularly the hotel sector, has been severely impacted, leading to job insecurity and negative mental health outcomes, especially among women who face heightened uncertainty and increased unemployment concerns. This study aims to investigate the effect of economic challenges and job loss on female workers during the pandemic, focusing on perceived job insecurity. Through a survey of hotel employees, we examine how these factors interacted within the context of COVID-19. Our findings suggest that job uncertainty moderates the relationship between anxiety stemming from economic crises, unemployment, and mental health outcomes. The fear of COVID-19 indirectly links economic distress and mental health through the lens of employment instability. This study’s results provide insights for managers to better address job security and mental health challenges faced by female employees during a global recession. |
Keywords | Economy; Pandemic; Employability |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460209. Planning and decision making |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Series | Lecture Notes in Computer Science |
Byline Affiliations | School of Mathematics, Physics and Computing |
School of Business |
https://research.usq.edu.au/item/z9w72/the-impact-on-employability-by-covid-19-pandemic-ai-case-studies
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