Evidence map›Paper›PMID 41822441›Full record

ArticleFrontiers in psychology2026

Environmental passion and AI literacy shape the impact of green rewards on pro-environmental behaviors.

Liya Xu, Yuyao Li, Tze-Haw Chan, Faiza Saleem

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

4 authors.

Liya XuDepartment of Development Planning, Shanxi Datong University, Datong, China.
Yuyao LiFaculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
Tze-Haw ChanGraduate School of Business, Universiti Sains Malaysia, Penang, Malaysia.
Faiza SaleemGraduate School of Business, Universiti Sains Malaysia, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Considering the importance of pro-environmental behaviors in achieving Sustainable Development Goals, this paper examines and strengthens the understanding of how green rewards shape employees' sustainable actions by integrating Stimulus-Organism-Response theory with Social Cognitive Theory. This paper explores the interplay between green rewards and pro-environmental behaviors. Specifically, this paper highlights the role of environmental passion as an internal mediating mechanism, and also analyzing the moderating influence of AI literacy as a critical capability in the digital era. Methods: This paper employed the Partial Least Squares Structural Equation Modeling combined with Artificial Neural Network analysis to capture both linear and nonlinear patterns in employee behaviors. The questionnaire respondents were from employees across various manufacturing and service sectors in China, with a total of 445 valid responses. Results: The results revealed that green rewards not only motivate pro-environmental behaviors but also foster positive environmental passion, which further enhance sustainable actions. Moreover, AI literacy significantly strengthens the positive influence of green rewards, amplifying their impacts on both environmental passion and pro-environmental behaviors. In addition, Artificial Neural Network analysis consistently identifies green rewards as the most influential predictor for both pro-environmental behaviors and environmental passion. Conclusion: These findings provided empirical support for the Stimulus-Organism-Response theory and the Social Cognitive theory. Results demonstrates that external incentives and internal psychological states jointly shape sustainable employee behaviors. To effectively promote pro-environmental behaviors, policymakers and managers should design targeted, sector-specific incentives and boost AI literacy.

Indexed as

AI literacyenvironmental passiongreen rewardspro-environmental behaviorsSocial Cognitive theoryStimulus-Organism-Response theory

Identifiers

PMID41822441
PMCPMC12975559

What Socratic 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 Socratic graph.