Evidence map›Paper›PMID 42315706›Full record

ArticleScientific reports2026

Advancing occupational and environmental safety in greenhouse agriculture: an extended elaboration likelihood model of safety technology adoption.

Amir Alambeigi, Marzieh Keshavarz, Mahla Farzipour, Romina Amiri

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

Amir AlambeigiDepartment of Agricultural Extension and Education, Agricultural College, University College of Agriculture and Natural Resources, University of Tehran, PO Box 31587-77871, Karaj, Iran.
Marzieh KeshavarzDepartment of Agricultural Extension and Education, Agricultural College, University College of Agriculture and Natural Resources, University of Tehran, PO Box 31587-77871, Karaj, Iran. keshavarzmarzieh@ut.ac.ir.
Mahla FarzipourDepartment of Agricultural Extension and Education, Agricultural College, University College of Agriculture and Natural Resources, University of Tehran, PO Box 31587-77871, Karaj, Iran.
Romina AmiriDepartment of Agricultural Extension and Education, Agricultural College, University College of Agriculture and Natural Resources, University of Tehran, PO Box 31587-77871, Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cleaner greenhouse production depends not only on advanced technologies but also on producers' adoption of safety innovations that protect workers, consumers, and environmental quality. Despite their importance, safety technologies remain under-adopted compared with productivity-oriented innovations, particularly in developing-country agricultural systems. Existing adoption models provide limited explanation of this paradox because they focus primarily on behavioral outcomes rather than the cognitive mechanisms underlying information evaluation under conditions of occupational, regulatory, and market risk. To address this gap, this study develops and empirically tests an extended Elaboration Likelihood Model (ELM) incorporating perceived risk as a key antecedent of motivation, cognitive ability, and attitude formation. Primary data were collected through a structured questionnaire survey administered to greenhouse owners and managers operating automated or semi-automated production systems in Iran. Using a stratified random sampling approach, 119 valid responses were obtained from major greenhouse production regions. The sample represents technology-exposed producers engaged in commercial greenhouse cultivation. Results from Partial Least Squares Structural Equation Modeling indicate that attitude is the strongest predictor of intention to adopt safety technologies. Perceived risk does not directly influence intention but operates through indirect cognitive pathways by increasing motivation and perceived ability to process information, which activate central and peripheral persuasion routes. While central-route processing leads to systematic evaluation of safety technologies, peripheral cues remain influential under conditions of limited cognitive engagement. Increased motivation reduces reliance on heuristic cues, reinforcing the importance of informed decision-making. These findings highlight the importance of integrated interventions combining risk communication, capacity building, credible endorsements, and supportive policy instruments to promote safer and more sustainable greenhouse production systems.

Indexed as

AgricultureOccupational HealthFarmersHumansIranLikelihood FunctionsMotivationSurveys and QuestionnairesWorking ConditionsCleaner productionElaboration Likelihood Model (ELM)Occupational and environmental healthPerceived riskSafety technology adoptionSustainable agricultural management

Identifiers

PMID42315706
PMCPMC13550541

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.