Consumer Behaviour of Generation Y and Z during the Pandemic: Attitude Change towards Restaurants and Delivery

Szerzők

DOI:

https://doi.org/10.21637/GT.2021.1.01

Kulcsszavak:

COVID-19, pandemic, consumer behaviour, customer satisfaction, food delivery

Absztrakt

With the appearance of the coronavirus, companies across several industries were required to alter their business models in order to avoid going bankrupt. Hospitality is commonly considered as one the most vulnerable industry for pandemics, therefore the decline on a global scale was inevitable. The occupancy rate of European hotels experienced an overall significant decline in 2020 and reached the lowest peak in May at 13.3%. Compared to the data from May 2019, this meant a drop of 82.3%. Restaurants also felt the negative effect of the pandemic: compared to the data of 2019, at the end of February, European restaurants started to experience declines on a daily basis. With the additional unfortunate events and governmental restrictions, not even in a single month were restaurants able to achieve the number of customers served that they reported in 2019. Even though restaurants on a global scale were seriously impacted by the COVID-19 pandemic, the role of delivery services and food delivery applications (FDAs) has significantly grown and the number of global customers is still increasing. The market size of the global online food delivery sector was 107.44 billion US Dollars in 2019 and expected to reach 154.34 by the end of 2023. There is a wide range of factors that influences consumer behaviour such as quality of information, the design and accessibility, reduction on waiting time and experiences regarding online orders. This research aims to uncover the significance of these dimensions with the support of a primary research conducted in Hungary in order to discover whether the international trends are also applicable in the country.

Információk a szerzőről

Bendegúz Richárd Nyikos

NYIKOS Bendegúz Richárd
Soproni Egyetem Lámfalussy Sándor Közgazdaságtudományi Kar 
PhD-hallgató

Hivatkozások

Alalwan, A. (2020): Mobile food ordering apps: an empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. Int. J. Inf. Manag., 50, pp. 28-44. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.04.008

Cho, M. – Bonn, M. A. – Li, J. J. (2019): Differences in perceptions about food delivery apps between single-person and multi-person households. Int. J. Hosp. Manag., 77, pp. 108-116. DOI: https://doi.org/10.1016/j.ijhm.2018.06.019

Csapó, J. – Törőcsik, M. (2020): The evaluation of the role and importance of safety and risks in the travel attitudes of the Hungarian tourists. Turisztikai és Vidékfejlesztési Tanulmányok, pp. 71-81.

Dube, K. – Nhamo, G. – Chikodzi, D. (2020): COVID-19 cripples global restaurant and hospitality industry. Current Issues in Tourism, pp. 1487-1490. DOI: https://doi.org/10.1080/13683500.2020.1773416

Dhir, A. – Talwar, S. – Kaur, P. – Malibari, A. (2020): Food waste in hospitality and food services: a systematic literature review and framework development approach. J. Clean. Prod., 270, Article 122861. DOI: https://doi.org/10.1016/j.jclepro.2020.122861

ECDC (2020): European Centre for Disease Prevention and Control., 2020 December 8. Assessed: 2021 November 8. https://www.ecdc.europa.eu/en/covid-19/timeline-ecdc-response

Eurostat (2021): Tourism statistics – nights spent at tourist accommodation establishments. Assessed: 2021 November 8. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Tourism_statistics_-_nights_spent_at_tourist_accommodation_establishments

Eurostat (2021): Nights spent at tourist accommodation establishments – monthly data. Assessed: 2021 November 8. https://ec.europa.eu/eurostat/databrowser/view/tour_occ_nim/default/table?lang=en

Gombos, K. – Herczeg, R. – Erőss, B. – Kovács, S. Zs. – Uzzoli, A. – Nagy, T. – Kiss, Sz. – Szakács, Zs. – Imrei, M. – Szentesi, A. – Nagy, A. – Fábián, A. – Hegyi, P. – Gyenesei, A. (2020): Translating scientific knowledge to government decision makers has crucial importance in the management of the COVID-19 pandemic. Population Health Management. DOI: https://doi.org/10.1089/pop.2020.0159

HVG (2020): A házhozszállítás segítheti az éttermek túlélését, de mi lesz a járvány után? 2020.03.20. Assessed: 2021. november 8. https://hvg.hu/kkv/20200320_A_hazhoz_szallitas_lehet_az_ettermek_tulelesenek_zaloga

Kang, J. W. – Namkung, Y. (2019): The information quality and source credibility matter in customers’ evaluation toward food O2O commerce. Int. J. Hosp. Manag., 78, pp. 189-198. DOI: https://doi.org/10.1016/j.ijhm.2018.10.011

Kasavan, S. – Mohamed, A. F. – Halim, S. A. (2019): Drivers of food waste generation: Case study of island-based hotels in Langkawi, Malaysia. Waste Management 91, pp. 72-79. DOI: https://doi.org/10.1016/j.wasman.2019.04.055

KSH (2020): Helyzetkép a turizmus, vendéglátás ágazatról. 2020, Assessed: 2021 November 8. https://www.ksh.hu/docs/hun/xftp/idoszaki/jeltur/2020/helyzetkep_turizmus_2020.pdf

KSH (2021): A vendégéjszakák száma 2020 szeptemberéhez képest 70%-kal nőtt, 2019 azonos hónapjához mérten 28%-kal csökkent. Assessed: 2021 november 8. https://www.ksh.hu/docs/hun/xftp/gyor/ksz/ksz2109.html

Lee, E. Y. – Lee, S. B. – Jeon, Y. J. J. (2017): Factors influencing the behavioural intention to use food delivery apps. Soc. Behav. Personal. Int. J., 45 (9), pp. 1461-1473. DOI: https://doi.org/10.2224/sbp.6185

Lennert J. (2020): A távmunka széleskörű elterjedésének lehetséges hatása a magyarországi vándormozgalomi mintázatokra. Tér és Társadalom, 2., pp. 178–182.

Livingston, E. – Bucher, K. (2020): Coronavirus disease 2019 (COVID-19) in Italy. Journal of the American Medical Association, 323(14), pp. 1335-1335 Assessed: 2021 November 8. https://jamanetwork.com/journals/jama/article-abstract/2763401

Poór, J. – Balogh, G. – Dajnoki, K. – Karoliny, M. – Kun, A. I. – Szabó, Sz. – Kópházi, A. (2020): Koronavírus-válság kihívások és HR válaszok. Budapest, 2020 October 1. p7, Assessed: 2021 November 8. https://mkik.hu/ckfinder/files/KoronaHR_kutata%CC%81si-jelente%CC%81s.pdf

Raffay, Z. (2020): A COVID-19 járvány hatása a turisták fogyasztói magatartásának változására. Assessed: 2021 November 8. https://ktk.pte.hu/sites/ktk.pte.hu/files/images/008_A%20COVID-19%20jarvany%20hatasa%20a%20turistak%20fogyasztoi%20magatartasanak%20valtozasara.pdf

Ray, A. – Dhir, A. – Bala, P. K. – Kaur, P. (2019): Why do people use food delivery apps (FDA)? A uses and gratification theory perspective. J. Retail. Consum. Serv., 51, pp. 221-230. DOI: https://doi.org/10.1016/j.jretconser.2019.05.025

Rebillard, C. (2020): Tourism trauma and covid-19. 2020. August 20, Assessed: 2021 November 8. https://blogs.imf.org/2020/08/20/tourism-trauma-and-covid-19/

Radó, N. (2020): Egy éve élünk együtt a koronavírus-járvánnyal, és hol van még a vége? 2020 December 30. Assessed: 2021 November 8. https://qubit.hu/2020/12/30/egy-eve-elunk-egyutt-a-koronavirus-jarvannyal-es-hol-van-meg-a-vege

Sahu, A. K. – Padhy, R. K. – Dhir, A. (2020): Envisioning the future of behavioral decision-making: a systematic literature review of behavioral reasoning theory. Australas. Mark. J., 28 (4), pp. 145-159. DOI: https://doi.org/10.1016/j.ausmj.2020.05.001

Statista (2020): Platform to Consumer Delivery. Assessed: 2021 November 8. https://www.statista.com/outlook/376/100/platform-to-consumer-delivery/worldwide

Statista (2021): Year-over-year daily change in seated restaurant diners due to the coronavirus (COVID-19) pandemic worldwide from February 24 ,2020 to February 20, 2022. Assessed: 2021 November 8. https://www.statista.com/statistics/1103928/coronavirus-restaurant-visitation-impact/

Talwar, S. – Dhir, A. – Khalil, A. – Mohan, G. (2020): Point of adoption and beyond. Initial trust and mobile-payment continuation intention. J. Retail. Consum. Serv., 55, Article 102086. DOI: https://doi.org/10.1016/j.jretconser.2020.102086

Törőcsik M. (2017): Fogyasztói magatartás – Insight, trendek, vásárlók. Akadémiai Kiadó. Budapest.

Yeo, V. C. S. – Goh, S. K. – Rezaei, S. (2017): Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. J. Retail. Consum. Serv., 35, pp. 150-162. DOI: https://doi.org/10.1016/j.jretconser.2016.12.013

Végi, Sz. – Csapó, J. – Törőcsik, M. (2020): Az új koronavírus (COVID-19) megjelenésének hatása a magyar lakosság turisztikai fogyasztói szokásaira – egy online felmérés elsődleges eredményei. Marketing a digitalizáció korában: Az Egyesület a Marketing Oktatásért és Kutatásért XXVI. Országos konferenciájának előadásai pp. 357-368.

NYIKOS, Richárd Bendegúz: Consumer Behaviour of Generation Y and Z during the Pandemic: Attitude Change towards Restaurants and Delivery

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Megjelent

2022-09-14

Hogyan kell idézni

Nyikos, B. R. (2022). Consumer Behaviour of Generation Y and Z during the Pandemic: Attitude Change towards Restaurants and Delivery. Gazdaság & Társadalom | Journal of Economy & Society, 14(1), 5–25. https://doi.org/10.21637/GT.2021.1.01