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Trendy w zrównoważonym zarządzaniu łańcuchem dostaw w rolnictwie
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Sustainability in Agricultural Supply Chains (ASC) is an emerging interdisciplinary field that has recently garnered increasing attention from scholars. This paper provides a comprehensive review of the current state of research in sustainable ASC based on an extensive analysis of Scopus and Web of Science databases. The study maps the research landscape by examining key aspects such as time distribution, journal trends, research fields, quantitative methods, and other bibliometric factors. The paper highlights research hotspots and identifies future trends, with a particular focus on (1) sustainable dimensions in ASC, (2) intelligent ASC, (3) the traceability of agricultural products, and (4) the role of e-commerce in enhancing agricultural product distribution. The novelty of this study lies in its systematic approach to bridging the gap between research on sustainable supply chain systems and ASC, areas that have been largely studied independently. By analyzing a broad range of studies, this paper provides an integrated perspective that fosters a deeper understanding of sustainable ASC systems. The results show a significant upward trend in publications, indicating growing scholarly interest in sustainable ASC. The study also reveals a gradual shift towards focusing on sustainable value chains as critical for food security. Additionally, the paper synthesizes various sustainable dimensions, mathematical models, and solution approaches for ASC management. This review proposes emerging research trends in sustainable ASC management and offers suggestions for future studies. It aims to stimulate a more comprehensive and interdisciplinary research agenda, particularly in the integration of sustainability, technology, and traceability within ASC.
Zrównoważony rozwój w łańcuchach dostaw w rolnictwie (ASC) to nowa dziedzina interdyscyplinarna, która w ostatnim czasie cieszy się coraz większym zainteresowaniem naukowców. Niniejszy artykuł zawiera kompleksowy przegląd aktualnego stanu badań nad zrównoważonym ASC na podstawie obszernej analizy baz danych Scopus i Web of Science. W badaniu nakreślono panoramę badań, analizując kluczowe aspekty, takie jak rozkład czasowy, trendy w czasopismach, dziedziny badań, metody ilościowe i inne czynniki bibliometryczne. W artykule wskazano najistotniejsze obszary badań i zidentyfikowano przyszłe trendy, ze szczególnym uwzględnieniem (1) zrównoważonych wymiarów ASC, (2) inteligentnych ASC, (3) identyfikowalności produktów rolnych oraz (4) roli handlu elektronicznego w usprawnianiu dystrybucji produktów rolnych. Nowatorskość niniejszego badania polega na systematycznym podejściu do wypełnienia luki między badaniami nad zrównoważonymi systemami łańcuchów dostaw a ASC, obszarami, które dotychczas były badane w dużej mierze niezależnie. Dzięki analizie szerokiego zakresu badań niniejszy artykuł przedstawia zintegrowaną perspektywę, która sprzyja głębszemu zrozumieniu zrównoważonych systemów ASC. Wyniki wskazują na znaczący wzrost liczby publikacji, co świadczy o rosnącym zainteresowaniu naukowców zrównoważonymi ASC. Badanie ujawnia również stopniowe przesunięcie punktu ciężkości w kierunku zrównoważonych łańcuchów wartości jako kluczowych dla bezpieczeństwa żywnościowego. Ponadto w artykule zsyntetyzowano różne wymiary zrównoważonego rozwoju, modele matematyczne i podejścia do zarządzania ASC. W niniejszym przeglądzie zaproponowano nowe trendy badawcze w zakresie zrównoważonego zarządzania ASC oraz sugestie dotyczące przyszłych badań. Ma on na celu stymulowanie bardziej kompleksowego i interdyscyplinarnego programu badań, w szczególności w zakresie integracji zrównoważonego rozwoju, technologii i identyfikowalności w ramach ASC.
Czasopismo
Rocznik
Tom
Strony
25--44
Opis fizyczny
Bibliogr. 64 poz, rys., tab.
Twórcy
autor
- University of Pretoria, South Africa
autor
- University of Pretoria, South Africa
autor
- University of Pretoria, South Africa
Bibliografia
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- 32.Motevalli-Taher, F., Paydar, M. M. and Emami, S.,(2020). Wheat sustainable supply chain network design with forecasted demand by simulation. Computers and Electronics in Agriculture, 178, 105763.
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- 34.Olfati, M., Paydar, M. M., (2023). Towards a responsive-sustainable-resilient tea supply chain network design under uncertainty using big data. Socio-Economic Planning Sciences, 101646.
- 35.Opara, L. U., (2004). Traceability in agriculture and food supply chain: A review of basic concepts, technological implications, and future prospects.
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- 37.Purnomo, M. R. A., Wangsa, I. D., Rizky, N., Jauhari, W. A. and Zahria, I., (2022). A multi-echelon fish closed-loop supply chain network problem with carbon emission and traceability. Expert Systems with Applications, 210, 118416.
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- 39.Reis, S. A., Leal, J. E., (2015). A deterministic mathematical model to support temporal and spatial decisions of the soybean supply chain. Journal of Transport Geography, 43, 48-58.
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- 41.Roghanian, E., Cheraghalipour, A., (2019). Addressing a set of meta-heuristics to solve a multi-objective model for closed-loop citrus supply chain considering CO2 emissions. Journal of cleaner production, 239, 118081.
- 42.Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A. and Nobar, H. B. K., (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
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- 46.Sardar, S. K., Sarkar, B. and Kim, B., (2021). Integrating machine learning, radio frequency identification, and consignment policy for reducing unreliability in smart supply chain management. Processes, 9(2), 247.
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- 48.Sharifi, E., Fang, L. and Amin, S. H., (2023). A novel two-stage multi-objective optimization model for sustainable soybean supply chain design under uncertainty. Sustainable Production and Consumption, 40, 297-317.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b53b6894-3b83-48db-8053-fe8a15408459
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