Evidence map›Paper›PMID 34296022›Full record

ArticleHeliyon2021

Breaking the barriers of animosity: innovation in business models as a positioning strategy.

Jose Andres Areiza-Padilla, Mihaela Simona Moise, Mario Andres Manzi Puertas

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 29% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

3 authors at 2 institutions in 2 countries.

Jose Andres Areiza-PadillaDepartment of Business Administration, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.
Mihaela Simona MoiseDepartment of Marketing, University of Valencia, 46022 Valencia, Spain.
Mario Andres Manzi PuertasDepartment of Business Administration, Pontificia Universidad Javeriana, Bogotá 110231, Colombia.
Pontificia Universidad Javeriana · COUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumer animosity is often studied in the large economies of the world, in order to explain the negative feelings generated by an individual towards another country and its products, due to various political, economic and social conflicts. This study presents three specific developments in this field. First, to demonstrate how companies in the retail sector have been able to develop innovations in their business models through their shops and virtual channels, which generate a positive positioning in the mind of the consumer, capable of minimizing animosity towards them. In this way it is shown that a consumer can have strong feelings of patriotism, animosity and ethnocentrism, and yet a positive image towards a brand or product of the country with which the conflict takes place. Second, a contribution to literature regarding the scant research on consumer animosity in developing countries, and specifically in Latin America. Third, an analysis of animosity under a current context of conflict between countries, and not of studies carried out taking situations or facts from the past. In this way, a contribution is generated that allows to understand more the behavior of the consumer and his animosity in societies with emerging economies and as the innovations in business models allow to improve both the economic profitability of a company, as its brand image.

Indexed as

Business model innovationsCollective tendenciesConsumer animosityEthnocentrism tendenciesForeign brand imagePatriotic tendencies

Identifiers

PMID34296022
PMCPMC8282950
OpenAlexW3180843540

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.