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ABSTRACT. The purpose of this study is to examine adoption of delivery apps during the COVID-19 crisis. In this article, we cumulate previous research findings indicating that decrease in consumer risk perception may boost the adoption of food delivery apps. We contribute to the literature on customers’ behavioral intentions to use food delivery apps throughout the COVID-19 outbreak by showing that shopping online on food delivery platforms can shape user perception, satisfaction, and loyalty. Throughout January 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “delivery app” + “COVID-19,” “perceived value,” “behavioral choice,” and “purchase intention.” As we inspected research published in 2020 and 2021, only 152 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 25, generally empirical, sources. Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.
JEL codes: D12; D22; D91; L66; E71

Keywords: delivery app; COVID-19; consumer; behavior; choice; purchase; intention

How to cite: Zvarikova, K., Gajanova, L., and Higgins, M. (2022). “Adoption of Delivery Apps during the COVID-19 Crisis: Consumer Perceived Value, Behavioral Choices, and Purchase Intentions,” Journal of Self-Governance and Management Economics 10(1): 69–81. doi: 10.22381/jsme10120225.

Received 29 January 2022 • Received in revised form 26 March 2022
Accepted 28 March 2022 • Available online 30 March 2022

1Faculty of Operation and Economics of Transport and Communications, Department of Economics, University of Zilina, Zilina, Slovak Republic, This email address is being protected from spambots. You need JavaScript enabled to view it..
2Faculty of Operation and Economics of Transport and Communications, Department of Economics, University of Zilina, Zilina, Slovak Republic, This email address is being protected from spambots. You need JavaScript enabled to view it..
3Interconnected Sensor Networks Research Unit at AAER, Bangor, Wales, This email address is being protected from spambots. You need JavaScript enabled to view it. (corresponding author).

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