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Survey data of Gen Z customer behaviour using food delivery applications in Vietnam

This study presents an analysis based on data collected via questionnaire, surveying Gen Z customers using food delivery applications in Vietnam. The purpose of the original research was to investigate factors influencing Gen Z customers' decision to continue using the applications. The data se...

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Detalles Bibliográficos
Autores principales: Vu, Tuan Duong, Nguyen, Hoang Viet, Vu, Phuong Thao, Tran, Thi Hoang Ha, Nguyen, Hoang Nam, Ngo, The Son
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694056/
http://dx.doi.org/10.1016/j.dib.2023.109779
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author Vu, Tuan Duong
Nguyen, Hoang Viet
Vu, Phuong Thao
Tran, Thi Hoang Ha
Nguyen, Hoang Nam
Ngo, The Son
author_facet Vu, Tuan Duong
Nguyen, Hoang Viet
Vu, Phuong Thao
Tran, Thi Hoang Ha
Nguyen, Hoang Nam
Ngo, The Son
author_sort Vu, Tuan Duong
collection PubMed
description This study presents an analysis based on data collected via questionnaire, surveying Gen Z customers using food delivery applications in Vietnam. The purpose of the original research was to investigate factors influencing Gen Z customers' decision to continue using the applications. The data set presented in this paper includes 361 valid responses that were collected by convenience sampling method from Hanoi and Hochiminh City, which are the two most potential regions of e-commerce transactions in Vietnam. After being collected, sorted, and filtered, the data was calculated by SPSS 22 and AMOS 23 software to extract descriptive analysis, Cronbach's Alpha, and confirmatory factor analysis (CFA). The calculation results indicated that this data set ensures reliability, convergent, and discriminant validity, which can serve as a good reference for future studies.
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spelling pubmed-106940562023-12-05 Survey data of Gen Z customer behaviour using food delivery applications in Vietnam Vu, Tuan Duong Nguyen, Hoang Viet Vu, Phuong Thao Tran, Thi Hoang Ha Nguyen, Hoang Nam Ngo, The Son Data Brief Invited Data Manuscript This study presents an analysis based on data collected via questionnaire, surveying Gen Z customers using food delivery applications in Vietnam. The purpose of the original research was to investigate factors influencing Gen Z customers' decision to continue using the applications. The data set presented in this paper includes 361 valid responses that were collected by convenience sampling method from Hanoi and Hochiminh City, which are the two most potential regions of e-commerce transactions in Vietnam. After being collected, sorted, and filtered, the data was calculated by SPSS 22 and AMOS 23 software to extract descriptive analysis, Cronbach's Alpha, and confirmatory factor analysis (CFA). The calculation results indicated that this data set ensures reliability, convergent, and discriminant validity, which can serve as a good reference for future studies. Elsevier 2023-11-07 /pmc/articles/PMC10694056/ http://dx.doi.org/10.1016/j.dib.2023.109779 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Invited Data Manuscript
Vu, Tuan Duong
Nguyen, Hoang Viet
Vu, Phuong Thao
Tran, Thi Hoang Ha
Nguyen, Hoang Nam
Ngo, The Son
Survey data of Gen Z customer behaviour using food delivery applications in Vietnam
title Survey data of Gen Z customer behaviour using food delivery applications in Vietnam
title_full Survey data of Gen Z customer behaviour using food delivery applications in Vietnam
title_fullStr Survey data of Gen Z customer behaviour using food delivery applications in Vietnam
title_full_unstemmed Survey data of Gen Z customer behaviour using food delivery applications in Vietnam
title_short Survey data of Gen Z customer behaviour using food delivery applications in Vietnam
title_sort survey data of gen z customer behaviour using food delivery applications in vietnam
topic Invited Data Manuscript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694056/
http://dx.doi.org/10.1016/j.dib.2023.109779
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