Evidence map›Paper›PMID 35013625›Full record

ArticleSocio-economic planning sciences2022

The impact of food delivery applications on Romanian consumers' behaviour during the COVID-19 pandemic.

Adriana Burlea-Schiopoiu, Silvia Puiu, Adina Dinu

Abstract read
In one paragraph

Article in Socio-economic planning sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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 · 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

3 authors.

Adriana Burlea-SchiopoiuUniversity of Craiova, 13, Street A.I. Cuza, 200585, Craiova, Dolj, Romania.
Silvia PuiuUniversity of Craiova, 13, Street A.I. Cuza, 200585, Craiova, Dolj, Romania.
Adina DinuUniversity of Craiova, 13, Street A.I. Cuza, 200585, Craiova, Dolj, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main purpose of this study is to assess the impact that food delivery mobile applications have on consumers' behaviour in the context of the changes generated by the COVID-19 pandemic. Thus, we aimed to bridge the gap in the literature and practice by studying intrinsic and extrinsic variables that affect 18-50+ years old consumers' decision process. The data set was analysed using the Structural Equation Modelling Part Least Square model because this model has no limitations to integrating more variables into a path model. From a managerial perspective, our results show that food delivery companies should implement customer loyalty strategies, as the users' perceived risk of changing the online food supplier is high. The high degree of visibility of the food delivery applications is positively reflected in the consumers' empathy level and loyalty. Consumer loyalty is also based on the pricing strategy and time saving associated with using this type of applications. The safety value and accessibility represent both consumers' and organisations' priorities that underline the importance of the strategies of reducing the perceived risks during the COVID-19 pandemic. Our research offers to researchers and practitioners a starting point for their future activities. It can help them make decisions considering both periods (during a crisis as generated by pandemic crisis and post-crisis as new normality).

Indexed as

AccessibilityConsumer decision processConsumer loyaltyFood delivery applicationsPerceived riskPrestige value

Identifiers

PMID35013625
PMCPMC8731232

What OpenQuestion holds

Textmetadata
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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.