Consumers' intention to use online food delivery services: A meta-analytic structural equation modeling approach

Weisheng Chiu, Frank BADU-BAIDEN, Heetae Cho

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Numerous studies have investigated the variables that are associated with individuals' behavioral intention to use online food delivery (OFD) services. However, some studies have shown inconsistent findings in relationships between different variables. This study aims to examine the influential factors leading to consumers' behavioral intention to use OFD services. The meta-analytic structural equation modeling approach was used to examine the research model, which involved reviewing and analyzing 60 studies with 61 independent samples (N = 25,390). The results revealed that convenience had a significant influence on perceived ease of use but did not directly affect perceived usefulness. Price-saving orientation significantly influenced consumers' perceptions of ease of use and usefulness. Additionally, significant relationships were found between perceived ease of use, perceived usefulness, and perceived trust, and these factors ultimately resulted in the usage intention of OFD services. Overall, the findings theoretically contribute to the extant literature on OFD services and can help companies develop better OFD services to ensure continuous usage by consumers.

Original languageEnglish
Article numbere13052
JournalInternational Journal of Consumer Studies
Volume48
Issue number3
DOIs
Publication statusPublished - May 2024

Keywords

  • behavioral intention
  • meta-analysis
  • meta-analytic structural equation modeling
  • online food delivery
  • technology acceptance model

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