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Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda
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 perfor...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585299/ https://www.ncbi.nlm.nih.gov/pubmed/37867840 http://dx.doi.org/10.1016/j.heliyon.2023.e20820 |
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author | Taramuel-Taramuel, Juan P. Montoya-Restrepo, Iván Alonso Barrios, Dursun |
author_facet | Taramuel-Taramuel, Juan P. Montoya-Restrepo, Iván Alonso Barrios, Dursun |
author_sort | Taramuel-Taramuel, Juan P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10585299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105852992023-10-20 Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda Taramuel-Taramuel, Juan P. Montoya-Restrepo, Iván Alonso Barrios, Dursun Heliyon Review Article 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. Elsevier 2023-10-10 /pmc/articles/PMC10585299/ /pubmed/37867840 http://dx.doi.org/10.1016/j.heliyon.2023.e20820 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Article Taramuel-Taramuel, Juan P. Montoya-Restrepo, Iván Alonso Barrios, Dursun Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda |
title | Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda |
title_full | Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda |
title_fullStr | Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda |
title_full_unstemmed | Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda |
title_short | Drivers linking farmers’ decision-making with farm performance: A systematic review and future research agenda |
title_sort | drivers linking farmers’ decision-making with farm performance: a systematic review and future research agenda |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585299/ https://www.ncbi.nlm.nih.gov/pubmed/37867840 http://dx.doi.org/10.1016/j.heliyon.2023.e20820 |
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