ReviewHeliyon2023
Drivers linking farmers' decision-making with farm performance: A systematic review and future research agenda.
Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Impact in production costs resulting from the adoption of interventions to reduce antimicrobials in pig production in Europe: findings from EU-project AVANT.JAC-antimicrobial resistance · 2026Article
- Investigating attributes for selecting nurse sows in swine herds of Minnesota, USA, using Best-Worst Scaling analysis.Veterinary and animal science · 2026Article
- Stacking Interventions Enhances Carbon Removals and Profitability of Livestock Production Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Assessment of the knowledge landscape, information needs and attitude towards decision support systems among hemp farmers in Florida.Journal of cannabis research · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A strong aptitude for making sound decisions on a farm is closely linked to favorable farm outcomes, and this finding has been observed across diverse types of farm businesses and geographic locations. Traditionally, research in farm management has addressed the drivers of decision-making and performance as separate entities; however, this article presents novel evidence on the relationship between farmers' decision-making and farm performance. We also examine this association in various contexts of farm decision-making, spanning the past decade. Our comprehensive review encompasses 24 empirical studies conducted in accordance with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The analysis focuses on research topics, performance measures, and methodological perspectives. The findings reveal seven key research topics: farmers' management capacity; the influence of management and farm structure; farmers' emotional attachment to their businesses; personal aspects, farm characteristics, and institutional settings; the significance of farm recordkeeping; joint decisions in farm decision-making processes; and rational inefficiencies in farm decisions. Most studies employed conventional farm performance measures, including financial indicators, technical efficiency, and productivity indicators. Existing studies have predominantly used quantitative methodologies. We also identified research gaps and provide suggestions for future investigations in this field. Our results underscore the pivotal role of decision-making ability in shaping farmers' managerial capacity and, consequently, farm performance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.