Evidence map›Paper›PMID 39590645›Full record

ArticleJournal of Intelligence2024

Understanding Consumption Reduction Through the TPB: Moderating Effects of the Need for Evaluation and Self-Referencing Individual Differences.

Shiva Ghorban Nejad, Heidi Victoria Skeiseid, Lukasz Andrzej Derdowski

Abstract read
In one paragraph

Article in Journal of Intelligence, 2024. 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

3 authors.

Shiva Ghorban NejadNHS-Department of Leadership and Service Innovation, University of Stavanger, 4021 Stavanger, Norway.ORCID 0000-0002-3099-9279
Heidi Victoria SkeiseidNHS-Department of Leadership and Service Innovation, University of Stavanger, 4021 Stavanger, Norway.
Lukasz Andrzej DerdowskiNHS-Department of Leadership and Service Innovation, University of Stavanger, 4021 Stavanger, Norway.ORCID 0000-0001-8195-1227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited research has focused on consumption reduction as one potential pathway to meet sustainable development goals. This paper investigates consumers' intentions to undertake consumption reduction through the lens of an extended theory of planned behavior (TPB), where selected individual differences, namely the need for evaluation (NE) and self-referencing (SR), are given considerable attention. In total, 226 respondents participated in this web-based survey study. The results from structural equation modeling analysis confirm that the extended theory of planned behavior effectively explains consumers' intentions to undertake consumption reduction. Notably, the individual differences of the NE and SR each uniquely moderate the relationships within the TPB model. This study provides a theoretical contribution by integrating the selected moderators (i.e., the NE and SR) into the TPB framework, increases the TPB's predictive power, and further provides a novel understanding of the underlying influences of individual differences on consumers' intentions to undertake consumption reduction for the benefit of the environment. Moreover, the findings offer practical implications for policymakers and social marketers in designing tailor-made interventions and consumption reduction strategies by considering the important role of individual differences.

Indexed as

consumption reductionenvironmental sustainabilityindividual differencesmoderating effectneed for evaluationself-referencingTPB

Identifiers

PMID39590645
PMCPMC11595910

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.