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April 23, 2026Journal of Distribution and Management ResearchOpen Access

A Study on the Factors Affecting the Intention to Use O2O Food Delivery App Service: Focusing on Integrated model of Technology Acceptance Model and Use Satisfaction Model

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Authors

SLSeung Cheol LeeKorea National University of TransportationSPSang‐Bum ParkUniversity of Bradford

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Overview

This research demonstrates the factors influencing intention to use O2O food delivery apps, indicating the importance of user satisfaction and technology acceptance.

Key Points

  • To investigate user intentions for O2O food delivery apps by integrating technology acceptance and use satisfaction models.
  • Conducted a survey to gather data from 324 respondents.
  • Analyzed the data using SPSS and AMOS software to assess the model fit and hypotheses.
  • Established a model integrating user satisfaction and technology accommodation for empirical analysis.
  • Model fit was determined to be appropriate based on analysis results.
  • Hypothesis H1-2 (information quality on ease) and H3-1 (service quality on usefulness) were rejected.
  • All other hypotheses were accepted, showing significant effects of perceived ease and usefulness on intention to use.

Cite This Study

Lee et al. (2022) studied this question.

synapsesocial.com/papers/69e9b8d485696592c86ebd2ahttps://doi.org/10.17961/jdmr.25.03.202206.5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Examining Online and Offline Service Quality Impacts on O2O Platform Reuse Intentions2024
  2. 2Study on Chinese O2O Service Users' Oflline Food Service Platform2024
  3. 3Analysis of Quality Attributes and Household Type Moderation on Attitudes and Intentions to Reuse Online Food Delivery Applications2025
  4. 4A Study on the Satisfaction and Continuous Use Intentions of Chinese Consumers for Delivery Apps: Focusing on Value-based Adoption Model2022
  5. 5Consumers' intention to use online food delivery services: A meta‐analytic structural equation modeling approach2024 · 14 citations