Dataset of food delivery app users at a public university: Insights into digital transformation.

Autor: Hoang H; Faculty of Business Administration, University of Economics, The University of Danang, Danang City, Vietnam., Chau NT; School of Business IT & Logistics, RMIT University, Melbourne, Australia.; Faculty of Statistics and Informatics, University of Economics, The University of Danang, Danang City, Vietnam., Tan TL; Business Department, FPT University, Da Nang 550000, Vietnam.
Jazyk: angličtina
Zdroj: Data in brief [Data Brief] 2023 Apr 20; Vol. 48, pp. 109161. Date of Electronic Publication: 2023 Apr 20 (Print Publication: 2023).
DOI: 10.1016/j.dib.2023.109161
Abstrakt: The food delivery apps (FDAs) have facilitated the connection between food service providers and consumers, enabling online ordering through smartphones and offline delivery in Vietnam. The Covid-19 pandemic has significantly impacted the food and beverage industry, accelerating the process of digital transformation and promoting sustainability through online-to-offline service. The usage of FDAs amongst consumers has exhibited a discernible escalation, primarily attributable to its ability to expedite the delivery of food in a hassle-free and convenient manner. Given the ongoing pandemic and the swift increase in demand for online food ordering services, particularly among the younger demographic, it has become imperative to comprehend the drivers that impel consumers to adopt these applications. This article aims to present a dataset pertaining to the decision-making factors that university students in Danang, Vietnam, take into account when they use FDAs and express positive feedback about them on the internet. The survey was conducted between September 2022 and January 2023 and gathered 346 usable responses. The results provide novel perspectives on the adoption of FDAs by university students, which is an emerging technology in the food and beverage sector. This dataset could be useful to various stakeholders, such as service providers, small and medium enterprises (SMEs), and vendors operating on these platforms, as it can help them acquire valuable insights into their customers' preferences and behavior. In addition, the dataset can serve as a basis for conducting comparative research in different universities or countries.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2023 The Author(s).)
Databáze: MEDLINE