Evidence map›Paper›PMID 39594371›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Enhancing Recycling Participation: Behavior Factors Influencing Residents' Adoption of Recycling Vending Machines.

Xinyuan Zhang, Guangya Deng, Emmanuel Nketiah, Victor Shi

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. 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.

Xinyuan ZhangSchool of Taxation, Jilin University of Finance and Economics, Changchun 130117, China.ORCID 0009-0002-1868-3463
Guangya DengCollege of Economics and Management, Shenyang University of Chemical Technology, Shenyang 110142, China.ORCID 0009-0008-1944-5401
Emmanuel NketiahSchool of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094, China.ORCID 0000-0002-9500-0948
Victor ShiLazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada.ORCID 0000-0002-8578-6254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recycling is a crucial waste management option because of the increasing amount of waste generated and the limited space in landfills. However, traditional recycling processes, which require individuals to deliver large quantities of waste to recycling centers, can discourage participation. To address this issue, this study expanded upon the technology acceptance model (TAM) by incorporating perceived risk and social influence to examine residents' intentions to adopt recycling vending machines. This study used partial least squares structural equation modeling based on the data collected from 525 individuals in Jiangsu Province, China. This study's findings indicate that TAM components, such as attitudes, perceived usefulness, and perceived ease of use, positively influence residents' intentions and behaviors to adopt recycling vending machines. Additionally, perceived usefulness and ease of use significantly affected attitudes toward recycling vending machines. This study also found that social influence had a significant positive impact on perceived usefulness and ease of use, while perceived risk negatively influenced these factors. Furthermore, attitude played a crucial mediating role, with additional factors impacting intentions and behaviors through attitude. Overall, this research can help stakeholders such as waste management companies to understand residents' concerns and improve the implementation of recycling vending machines.

Indexed as

perceived riskrecycling vending machinessocial influencetechnology acceptance model

Identifiers

PMID39594371
PMCPMC11591402

What OpenQuestion holds

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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 OpenQuestion graph.