User Familiarity and Satisfaction With Food Delivery Mobile Apps

Ju-Choel Choi

75 citations0/0 files storedSAGE Open

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Usability and User Interface Design Health, Technology, Consumer Behavior

Abstract

The market for food delivery mobile applications (FDMAs) in South Korea has massively expanded due to the increase in both smartphone penetration rate and single-person households, thus marking a phase of severe competition. A deeper understanding among FDMA practitioners of users’ acceptance of FDMAs is required to become more competitive. The technology acceptance model (TAM) is a dominant theory to help illuminate users’ acceptance of new technology. However, users’ familiarity (FAM) and satisfaction (SAT) with new technology has been less studied in the context of FDMA. Based on this background, this study aims to examine the relationships between users’ FAM, perceived ease of use (PEU), perceived usefulness (PU), SAT, and intention to reuse (IR) in the context of FDMAs. With the use of an online-based questionnaire, data were obtained from consumers who have experienced with one of the top-three mobile apps for food delivery in South Korea. Partial least squares structural equation modeling is employed to examine the extended TAM in the Korean FDMA setting. The findings demonstrate that (a) FAM has a positive influence on both PEU and PU; (b) PEU is positively associated with PU; (c) both FAM and PU positively affect SAT, but PEU does not; and (d) FAM, PU, and SAT are the significant antecedents of IR. This study then discusses the findings in terms of academic contributions and suggests practical implications, focusing on marketing strategies that can be usefully adopted by FDMA developers.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 75 citations exist upstream.

References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.1988Structural equation modeling in practice: A review and recommended two-step approach.2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2011PLS-SEM: Indeed a Silver Bullet

Cited by

2022A model of online food delivery service quality, customer satisfaction and customer loyalty: a combination of PLS-SEM and NCA approaches 2022Predictors of continuance intention of online food delivery services: gender as moderator 2021How Emotional Interaction Affects Purchase Intention in Social Commerce: The Role of Perceived Usefulness and Product Type 2022Application of the technology acceptance model to food delivery apps

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.