Nematollahi M., Tajbakhsh A. (2020). Past, present, and prospective themes of sustainable agricultural supply chains: a content analysis. Journal of Cleaner Production, 20/10/2020, vol. 271, p. 1-28.
https://doi.org/10.1016/j.jclepro.2020.122201
https://doi.org/10.1016/j.jclepro.2020.122201
Titre : | Past, present, and prospective themes of sustainable agricultural supply chains: a content analysis (2020) |
Auteurs : | M. Nematollahi ; A. Tajbakhsh |
Type de document : | Article |
Dans : | Journal of Cleaner Production (vol. 271, October 2020) |
Article en page(s) : | p. 1-28 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM CHAINE D'APPROVISIONNEMENT ; SECTEUR AGRICOLE ; SYSTEME DE CULTURE ; METHODE D'ELEVAGE ; PLANIFICATION AGRICOLE ; GESTION DE LA CHAINE LOGISTIQUE ; DURABILITE ; ANALYSE QUANTITATIVE ; ANALYSE DE CONTENU |
Résumé : | Sustainable supply chain management has been a topic of high interest to scholars and practitioners over the last 30 years. Accordingly, many review papers have been published on this topic with various areas of focus. Nevertheless, the overall body of literature still lacks a systematic review that thoroughly explores sustainability-driven decisions in the agriculture sector. To fill this research gap, the present paper presents an extensive review of 247 quantitative studies on sustainable agricultural supply chains. Our review scope includes both crop-based and livestock sectors that are monitored by eco-social corporate initiatives or government sustainability-driven legislation. To do so, we employ a content analysis-based review method, which is well known as an effective means of conducting literature reviews in a transparent, systematic, and rule-governed way, to rigorously collect, filter, and classify the existing research context. We classify the collected materials based on different structural dimensions and related analytic categories, which are obtained from both deductive and inductive categorization techniques. More specifically, we thoroughly evaluate the review results from four research perspectives agricultural planning, supply chain management, sustainability development, and modeling methodology aiming at presenting an overview of quantitative research projects. We conclude this study with a detailed discussion on evolving and promising research streams along with future research directions, which could be used as a roadmap by future researchers. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.jclepro.2020.122201 |