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The Effect of COVID-19 on Airline Transportation Services: A Study on Service Robot Usage Intention

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 14 Nov 2021 Lithuania Publisher:MDPI AGJournal:Sustainability, volume 13, page 12,571 (eissn: 2071-1050,

Authors: Ieva Meidute-Kavaliauskiene; Bülent Yıldız; Şemsettin Çiğdem; Renata Činčikaitė;

doi: 10.3390/su132212571

The Effect of COVID-19 on Airline Transportation Services: A Study on Service Robot Usage Intention

- Summary
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Abstract

Robots have started to be used in the service sector as well as in the manufacturing industry. The use of service robots in airport services, tourism, and hospital services also brings many advantages. Because of the COVID-19 pandemic, reducing physical contact and providing hygiene are essential benefits of service robots. For this purpose, the effect of COVID-19 fear on perceived trust in service robots and the intention to use them at airports was investigated in this study. For analysis, data were collected from 730 participants from 64 different countries, by questionnaire. The data were analyzed with the SPSS and AMOS package programs. As a result of the structural equation model analysis, it was determined that COVID-19 fear affects perceived trust in service robots and the intention to use them positively, and perceived trust also affects the intention to use service robots positively. In addition, as a result of the Process Macro analysis, it was found that perceived trust has a high mediating effect on the effect of COVID-19 fear on the intention to use. The research results show that people’s attitudes towards COVID-19 shape the perception of robot usage in air transport services.

Country

Lithuania

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Keywords

perceived trust, Environmental effects of industries and plants, airport services, Covid-19 fear, TJ807-830, TD194-195, Renewable energy sources, service robots, Environmental sciences, intention to use, GE1-350, COVID-19 fear

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	19
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%