Inventory models in a sustainable supply chain: a bibliometric analysis

This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The methodology contains reviewing previous research with a performance evaluation, network analysis, and science mapping to identify the applications, trends, and future research topics. Scientific mappin...

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Autores:
Salas-Navarro, Katherinne
Serrano-Pájaro, Paula
Ospina Mateus, Holman
Zamora-Musa, Ronald
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9416
Acceso en línea:
https://hdl.handle.net/11323/9416
https://doi.org/10.3390/su14106003
https://repositorio.cuc.edu.co/
Palabra clave:
Sustainable supply chain
Inventory model
Green supply chain
Sustainable logistic
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)
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dc.title.eng.fl_str_mv Inventory models in a sustainable supply chain: a bibliometric analysis
title Inventory models in a sustainable supply chain: a bibliometric analysis
spellingShingle Inventory models in a sustainable supply chain: a bibliometric analysis
Sustainable supply chain
Inventory model
Green supply chain
Sustainable logistic
title_short Inventory models in a sustainable supply chain: a bibliometric analysis
title_full Inventory models in a sustainable supply chain: a bibliometric analysis
title_fullStr Inventory models in a sustainable supply chain: a bibliometric analysis
title_full_unstemmed Inventory models in a sustainable supply chain: a bibliometric analysis
title_sort Inventory models in a sustainable supply chain: a bibliometric analysis
dc.creator.fl_str_mv Salas-Navarro, Katherinne
Serrano-Pájaro, Paula
Ospina Mateus, Holman
Zamora-Musa, Ronald
dc.contributor.author.spa.fl_str_mv Salas-Navarro, Katherinne
Serrano-Pájaro, Paula
Ospina Mateus, Holman
Zamora-Musa, Ronald
dc.subject.proposal.eng.fl_str_mv Sustainable supply chain
Inventory model
Green supply chain
Sustainable logistic
topic Sustainable supply chain
Inventory model
Green supply chain
Sustainable logistic
description This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The methodology contains reviewing previous research with a performance evaluation, network analysis, and science mapping to identify the applications, trends, and future research topics. Scientific mapping examines the periods and volumes of publications, authors, journals, countries, regions, organizations, subject areas, and citation analyses. The dataset was obtained with the Scopus database and analyzed using MS Excel and VOSviewer. The search equation identified 335 research papers, which resulted in 131 significant manuscripts on the subject after being screened and filtered. The most notable countries in developing research were Iran, India, China, the United States, Canada, Taiwan, France, the United Arab Emirates, Turkey, and Denmark. Saha, S., Ajay, S.Y., and Baboli, A. were the most cited authors. The journals that publish the most research were Sustainability, the Journal of Cleaner Production, and the International Journal of Production Economics. Some research focuses on reducing carbon emissions and polluting agents applied in different industries in China, Brazil, India, and others. The main findings were the number of industry sectors researching this topic, increasing the number of publications, and promoting the proper use of resources within a sustainable supply chain. There are many investigations of theoretical models that have applications in real-life cases. There is also evidence of the high importance of promoting sustainable development. The emissions regulations in a green supply chain applied to agricultural products have allowed for more actions to achieve responsible production and consumption, as seen in applied research in the pulp and paper industry.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-08-01T21:15:41Z
dc.date.available.none.fl_str_mv 2022-08-01T21:15:41Z
dc.date.issued.none.fl_str_mv 2022-05-15
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Salas-Navarro, K.; Serrano-Pájaro, P.; Ospina-Mateus, H.; Zamora-Musa, R. Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis. Sustainability 2022, 14, 6003. https://doi.org/10.3390/su14106003
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9416
dc.identifier.url.spa.fl_str_mv https://doi.org/10.3390/su14106003
dc.identifier.doi.spa.fl_str_mv 10.3390/su14106003
dc.identifier.eissn.spa.fl_str_mv 2071-1050
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv Salas-Navarro, K.; Serrano-Pájaro, P.; Ospina-Mateus, H.; Zamora-Musa, R. Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis. Sustainability 2022, 14, 6003. https://doi.org/10.3390/su14106003
10.3390/su14106003
2071-1050
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9416
https://doi.org/10.3390/su14106003
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Sustainability
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spelling Salas-Navarro, KatherinneSerrano-Pájaro, PaulaOspina Mateus, HolmanZamora-Musa, Ronald2022-08-01T21:15:41Z2022-08-01T21:15:41Z2022-05-15Salas-Navarro, K.; Serrano-Pájaro, P.; Ospina-Mateus, H.; Zamora-Musa, R. Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis. Sustainability 2022, 14, 6003. https://doi.org/10.3390/su14106003https://hdl.handle.net/11323/9416https://doi.org/10.3390/su1410600310.3390/su141060032071-1050Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The methodology contains reviewing previous research with a performance evaluation, network analysis, and science mapping to identify the applications, trends, and future research topics. Scientific mapping examines the periods and volumes of publications, authors, journals, countries, regions, organizations, subject areas, and citation analyses. The dataset was obtained with the Scopus database and analyzed using MS Excel and VOSviewer. The search equation identified 335 research papers, which resulted in 131 significant manuscripts on the subject after being screened and filtered. The most notable countries in developing research were Iran, India, China, the United States, Canada, Taiwan, France, the United Arab Emirates, Turkey, and Denmark. Saha, S., Ajay, S.Y., and Baboli, A. were the most cited authors. The journals that publish the most research were Sustainability, the Journal of Cleaner Production, and the International Journal of Production Economics. Some research focuses on reducing carbon emissions and polluting agents applied in different industries in China, Brazil, India, and others. The main findings were the number of industry sectors researching this topic, increasing the number of publications, and promoting the proper use of resources within a sustainable supply chain. There are many investigations of theoretical models that have applications in real-life cases. There is also evidence of the high importance of promoting sustainable development. The emissions regulations in a green supply chain applied to agricultural products have allowed for more actions to achieve responsible production and consumption, as seen in applied research in the pulp and paper industry.21 páginasapplication/pdfengMDPI AGSwitzerlandAtribución 4.0 Internacional (CC BY 4.0)© 2022 by the authors. Licensee MDPI, Basel, Switzerland.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Inventory models in a sustainable supply chain: a bibliometric analysisArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.mdpi.com/2071-1050/14/10/6003Sustainability1. Wang, B.; Pan, S.-Y.; Ke, R.-Y.; Wang, K.; Wei, Y.-M. An overview of climate change vulnerability: A bibliometric analysis based on Web of Science database. Nat. Hazards 2014, 74, 1649–1666. [CrossRef]2. Argumedo-García, M.; Salas-Navarro, K.; Acevedo-Chedid, J.; Ospina-Mateus, H. Bibliometric Analysis of the Potential of Technologies in the Humanitarian Supply Chain. J. Open Innov. Technol. Mark. Complex. 2021, 7, 232. [CrossRef]3. 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Available online: http://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E (accessed on 2 July 2021).2111014Sustainable supply chainInventory modelGreen supply chainSustainable logisticPublicationORIGINALInventory Models in a Sustainable Supply Chain- A Bibliometric Analysis.pdfInventory Models in a Sustainable Supply Chain- A Bibliometric Analysis.pdfapplication/pdf4592677https://repositorio.cuc.edu.co/bitstreams/93ca77c4-1a85-487d-93f7-2f00e76c294c/download571dff01439f202e832910414a56bfaaMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/86e7abb1-1cd5-4003-b78b-039316cdebbf/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTInventory Models in a Sustainable Supply Chain- A Bibliometric Analysis.pdf.txtInventory Models in a Sustainable Supply Chain- A Bibliometric 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