Evidence map›Paper›PMID 39654777›Full record

ArticleHeliyon2024

E-commerce of Peruvian SMEs: Determinants of internet sales before and during COVID-19.

Miguel Angel Ortiz-Chávez, José Enrique Mendoza-Pumapillo, Josue Otoniel Dilas-Jiménez, Carlos Andrés Mugruza-Vassallo

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. 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.

Miguel Angel Ortiz-ChávezUniversidad Nacional del Callao, Callao, Peru.
José Enrique Mendoza-PumapilloUniversidad Nacional del Callao, Callao, Peru.
Josue Otoniel Dilas-JiménezUniversidad Nacional Agraria La Molina, Lima, Peru.
Carlos Andrés Mugruza-VassalloUniversidad Privada San Juan Bautista, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic accelerated the adoption of e-commerce among Peruvian small and medium enterprises (SMEs), prompting a sudden shift from traditional physical marketplaces to online sales. Before the pandemic, many businesses were beginning to adopt ICTs but only 8.1 % were selling their products and services online. The study aims to analyze the determinants of online sales in Peruvian SMEs in 2019, and the factors that contributed to the rise in online sales during the first year of the COVID-19 pandemic. The Peruvian National Enterprise Survey 2019 was used to evaluate the e-commerce adoption behavior of SMEs during 2019 and 2020. To analyze the determinants and factors, Heckman two step model was employed. The findings revealed that digital readiness was crucial for adopting online sales, but not significant for scaling sales during the pandemic; the rise in sales during the social lock-down period necessitated the implementation of a unique product delivery approach many times using own vehicle and bearing in mind informal competition. In essence, digital readiness played a critical role in enabling Peruvian SMEs to adopt online sales, but its impact was limited when it came to scaling sales during the pandemic. This research contributes to the existing literature by highlighting the unique challenges and opportunities faced by SMEs in a developing economy during a global crisis. The implication of this study highlights the need for CEOs at SMEs to prioritize digital readiness, as well as rebuild from the economic impacts of any crisis.

Indexed as

COVID-19Decision-makingDigitalisatione-commerceSmall and medium enterprises (SME)

Identifiers

PMID39654777
PMCPMC11626776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.