Evidence map›Paper›PMID 35010192›Full record

ArticleFoods (Basel, Switzerland)2021

Factors Influencing Customer Decisions to Use Online Food Delivery Service during the COVID-19 Pandemic.

Kyungyul Jun, Borham Yoon, Seungsuk Lee, Dong-Soo Lee

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. A Thematic Review on Using Food Delivery Services during the Pandemic: Insights for the Post-COVID-19 Era.International journal of environmental research and public health · 2022
    Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kyungyul JunDepartment of Food and Nutrition, Kosin University, Busan 49104, Korea.
Borham YoonDepartment of Food and Nutrition, Sunchon National University, Suncheon 57922, Korea.ORCID 0000-0001-6547-0802
Seungsuk LeeDepartment of Parks, Recreation and Hospitality Administration, Arkansas Tech University, Russellville, AR 72801, USA.
Dong-Soo LeeDepartment of Parks, Recreation and Hospitality Administration, Arkansas Tech University, Russellville, AR 72801, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the popularity of online food delivery systems in the foodservice industry, there have been few studies into customers' decision-making process to use online food delivery services during the Coronavirus disease (COVID-19) pandemic. This study applied the technology acceptance model (TAM) to examine the factors affecting customers' intention to use online food delivery services. Results showed (a) the perceived usefulness affects customer's online food delivery usage directly and indirectly through customer attitude; (b) enjoyment and trust are also key factors determining behavior intention toward customer attitude using online food delivery services; (c) positive relationship between social influence and customer attitude; and (d) a positive relationship between customer attitude and behavior intention in the online food delivery service context. These findings provide theoretical and managerial implications that contribute to the online food delivery service industry.

Indexed as

COVID-19 pandemicenjoymentonline food delivery servicesocial influencetechnology acceptancetrust

Identifiers

PMID35010192
PMCPMC8750313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.