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

Author

Listed:
  • Kirsten Friederike Bremer

    (Distance Learning Business and Management, IU International University of Applied Sciences, 99084 Erfurt, Germany)

  • Sven Ulrich Maertens

    (Institute of Air Transport and Airport Research, German Aerospace Center (DLR e.V.), 51147 Cologne, Germany)

Abstract

“Future skills” increase employees’ prospects in the labor market, particularly in dynamic times, such as the current COVID-19 pandemic. (Not only) in Germany, flight attendants represent an occupational group without state-recognized vocational occupation who are particularly affected by the pandemic due to serious and long-lasting declines in air transport volumes. Therefore, it is reasonable to assume that the future skills of flight attendants play an important role when applying for jobs in other industries. An empirical survey (n = 273) from April 2021 indicates that German-speaking flight attendants possess some of the future skills most frequently identified in key studies on future competencies, as well as extensive language skills, but have deficits in “working with computer systems” and “programming”. Pro-active training of employees in future skills, especially in crisis-prone professions, could facilitate future transitions into new professional fields.

Suggested Citation

  • Kirsten Friederike Bremer & Sven Ulrich Maertens, 2021. "Future Skills of Flight Attendants in Times of COVID-19-Related Job Uncertainty—The Case of Germany," Administrative Sciences, MDPI, vol. 11(4), pages 1-22, December.
  • Handle: RePEc:gam:jadmsc:v:11:y:2021:i:4:p:154-:d:704762
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    References listed on IDEAS

    as
    1. Wen, Xin & Sun, Xuting & Sun, Yige & Yue, Xiaohang, 2021. "Airline crew scheduling: Models and algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    2. Roman Sauter & Werner Sauter & Roland Wolfig, 2018. "Agile Werte- und Kompetenzentwicklung," Springer Books, Springer, number 978-3-662-57305-1, October.
    3. Hammermann, Andrea & Stettes, Oliver, 2016. "Qualifikationsbedarf und Qualifizierung: Anforderungen im Zeichen der Digitalisierung," IW policy papers 3/2016, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    4. Vatankhah, Sanaz, 2021. "Dose safety motivation mediate the effect of psychological contract of safety on flight attendants' safety performance outcomes?: A social exchange perspective," Journal of Air Transport Management, Elsevier, vol. 90(C).
    Full references (including those not matched with items on IDEAS)

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