Evidence map›Paper›PMID 36816325›Full record

ArticleHeliyon2023

The influence of intrinsic and extrinsic motivational factors on e-WOM behaviour: The role of psychological impact during the time of COVID-19 crisis.

Balamoorthy S, Bibhas Chandra

Abstract read
In one paragraph

Article in Heliyon, 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

2 authors.

Balamoorthy SDepartment of Management Studies & Industrial Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, Jharkhand, India.
Bibhas ChandraDepartment of Management Studies & Industrial Engineering, Indian Institute of Technology (ISM), Dhanbad, 826004, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This investigation unearths the trait antecedents of intrinsic and extrinsic motivational drivers and their consequences on attitude towards e-WOM of social mobile app users. Additionally, this study attempts to explore the moderating role of psychological impact on attitude towards e-WOM when COVID-19 is ravaging the world. Following the descriptive research method, the survey was carried out among convenience sample respondents of 627 social mobile app users. The outcome brought out that extraversion had a favourable influence on opinion leadership, customer engagement, and self-expression for sharing consumption related information during the pandemic. Likewise, materialism also had a strong effect on self-expression. Nonetheless, extraversion and materialism failed to affect self-presentation motives. And, self-presentation was observed influencing attitude towards e-WOM negatively. The outcome of the study demonstrates that individuals with high psychological impact have a strong motivation to involve in customer engagement to participate in e-WOM communication. Motivational drivers such as self-expression, opinion leadership, and customer engagement had a significant effect on attitude towards e-WOM for the whole sample analysis. This investigation contributes to existing literature of e-WOM behaviour and widens the scope of self-presentation theory, social exchange theory, theory of planned behaviour etc. Finally, this research also assists marketers and practitioners to take better decision-making on developing a social media advertising and campaign using the framework.

Indexed as

COVID-19e-WOMIntrinsic-extrinsic motivationPersonalityPsychological impactSocial mobile app

Identifiers

PMID36816325
PMCPMC9932786

What OpenQuestion holds

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Registered trials

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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.