Evidence map›Paper›PMID 36874930›Full record

ReviewSN business & economics2023

Changes in shopping habits during COVID-19.

Eda Helin Gündeş, Füsun Ülengin, Burç Ülengin, Ömer Zeybek

Abstract readReview
In one paragraph

Review in SN business & economics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eda Helin GündeşFaculty of Management, Sabanci University, Istanbul, Turkey.
Füsun ÜlenginFaculty of Management, Sabanci University, Istanbul, Turkey.ORCID 0000-0003-1738-9756
Burç ÜlenginFaculty of Management-Management Engineering Department, Istanbul Technical University, Istanbul, Turkey.
Ömer ZeybekMigros Ticaret AŞ. R&D Department, Innovative Data Analytics and Ad-Hoc Research, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By the start of 2020, the daily and business world had to undergo a radical change with the widespread pandemic known as COVID-19. Many people had to replace their everyday purchase medium to meet the enforced restrictions, and local businesses had to adjust their operations to accommodate the negative impacts brought upon by the disease's rapid spread. Groceries and FMCG sub-sectors of the retail industry were forced to adapt to consumers' stockpiling and panic-buying behaviors. We studied the impact of similar purchase attitudes for various product groups during the COVID-19 and probed the differences between sales of online and physical markets. Initially, a cluster analysis identifies which product groups were affected by similar shopping behaviors during the pandemic. Subsequently, the impact of the number of COVID cases on sales levels was measured using stepwise, lasso, and the best subset models. All the models were applied to both physical and online market datasets. The results showed a significant shift from the physical to the online markets during the pandemic. These findings can provide an essential guideline to retail managers in adapting to the new world.

Indexed as

Consumer behaviorCOVID-19Hierarchical cluster analysisRegressionRetailing

Identifiers

PMID36874930
PMCPMC9969026

What OpenQuestion holds

Textmetadata
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.