Evidence map›Paper›PMID 36262449›Full record

ArticleFrontiers in psychology2022

Unveiling the effects of consumers' psychological distance on their reactance and related behavioral outcomes: Do lockdown restrictions matter?

Xianglan Chen, Yachao Duan, Huma Ittefaq, Yahui Duan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. 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.

Xianglan ChenCenter for Cognitive Science of Language, Beijing Language and Culture University, Beijing, China.
Yachao DuanChina Renaissance, Beijing, China.
Huma IttefaqInstitute of Business and Management, University of Engineering and Technology, Lahore, Pakistan.
Yahui DuanSchool of Foreign Language and Application, The Australian National University, Canberra, ACT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined consumers' psychological reactance, which is insufficiently explored in the literature. This research fills the gaps found in the literature reviewed and investigates how the psychological reactance of restaurant consumers developed because of social, temporal, and spatial distancing measures during COVID-19. This study also explored ways in which the restaurant industry can increase its compliance with COVID-19 restrictions in such a situation. We explored the effects of social, temporal, and spatial distancing on psychological reactance. We also identified the moderating effect of lockdown restrictions, which strengthen the psychological reactance developed because of (a) social distancing, (b) temporal distancing, and (c) spatial distancing. We collected data from restaurant consumers in Lahore. This study applied quantitative techniques (i.e., a test of normality, measurement model assessment, structural model assessment, and common method variance). The data were analyzed using IBM SPSS 25 and AMOS 24 and the results were interpreted and presented accordingly. This study added to the literature on psychological reactance, service management, and psychological distance. We could also help the restaurant industry overcome the challenges that occurred during the COVID-19 pandemic and the closures. This study could assist the restaurant industry to understand consumer behavior and attract potential consumers.

Indexed as

complianceconsumer reactanceCOVID-19distancingfood and beverage restaurantspsychological reactance

Identifiers

PMID36262449
PMCPMC9575655

What OpenQuestion holds

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LicenceCC BY
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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.