Evidence map›Paper›PMID 36262429›Full record

ArticleFrontiers in psychology2022

The role of product cues and regulatory focus in the consumers' response to green products: The mediation effects of green attitudes.

Xiaomei Wang, Yangli Gu, Haohang Xin, Peiling Qiu, Jia Wang

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. 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

5 authors.

Xiaomei WangSchool of Media Studies and Humanities, Zhejiang University City College, Hangzhou, Zhejiang, China.
Yangli GuSchool of Media Studies and Humanities, Zhejiang University City College, Hangzhou, Zhejiang, China.
Haohang XinSchool of Media Studies and Humanities, Zhejiang University City College, Hangzhou, Zhejiang, China.
Peiling QiuSchool of Media Studies and Humanities, Zhejiang University City College, Hangzhou, Zhejiang, China.
Jia WangSchool of Media Studies and Humanities, Zhejiang University City College, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By applying the cue-diagnosticity theory, this study explores the influence mechanism of consumption response to low-involvement products and high-involvement products, respectively. Specifically, the purpose of this study is to investigate how product clues (brand strength and retailer reputation) affect consumption responses to green products with different involvement and to examine regulatory focus as a moderator and green attitude as a mediator. The results of study 1 reveal that for low-involvement green products, the effect of the retailer reputation rather than brand strength on consumption response is mediated by a green attitude, and the regulatory focus plays a moderating role in this process. The results of study 2 show that for high-involvement green products, the effect of the brand strength rather than retailer reputation on consumption response is mediated by a green attitude; however, the regulatory focus does not play a moderating role in this process. Finally, the data aggregation verifies that people's consumption response to green products strongly depends on the retailer reputation, brand strength, and green attitude, and there is a moderated mediation effect of regulatory focus on the indirect effect of retailer reputation (rather than brand strength) on consumption response

Indexed as

brand strengthconsumers’ responsegreen attituderegulatory focusretailer reputation

Identifiers

PMID36262429
PMCPMC9574074

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.