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...
- Autores:
-
Salas-Navarro, Katherinne
Serrano-Pájaro, Paula
Ospina-Mateus, Holman
Zamora Musa, Ronald
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12199
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12199
- Palabra clave:
- Environmental Markets;
Pollution Tax;
Emission Reduction
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.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 Environmental Markets; Pollution Tax; Emission Reduction |
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.none.fl_str_mv |
Salas-Navarro, Katherinne Serrano-Pájaro, Paula Ospina-Mateus, Holman Zamora Musa, Ronald |
dc.subject.keywords.spa.fl_str_mv |
Environmental Markets; Pollution Tax; Emission Reduction |
topic |
Environmental Markets; Pollution Tax; Emission Reduction |
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.issued.none.fl_str_mv |
2022 |
dc.date.accessioned.none.fl_str_mv |
2023-07-19T21:19:43Z |
dc.date.available.none.fl_str_mv |
2023-07-19T21:19:43Z |
dc.date.submitted.none.fl_str_mv |
2023 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_6501 |
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draft |
dc.identifier.citation.spa.fl_str_mv |
Salas-Navarro, K., Serrano-Pájaro, P., Ospina-Mateus, H., & Zamora-Musa, R. (2022). Inventory models in a sustainable supply chain: a bibliometric analysis. Sustainability, 14(10), 6003. |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12199 |
dc.identifier.doi.none.fl_str_mv |
10.3390/su14106003 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
identifier_str_mv |
Salas-Navarro, K., Serrano-Pájaro, P., Ospina-Mateus, H., & Zamora-Musa, R. (2022). Inventory models in a sustainable supply chain: a bibliometric analysis. Sustainability, 14(10), 6003. 10.3390/su14106003 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/12199 |
dc.language.iso.spa.fl_str_mv |
eng |
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eng |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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21 páginas |
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Cartagena de Indias |
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Sustainability (Switzerland) |
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Universidad Tecnológica de Bolívar |
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Salas-Navarro, Katherinneb358d582-e66b-4c09-8f7e-34b116ff94aeSerrano-Pájaro, Paulae1c53abe-bbda-4946-8594-387e267cddf6Ospina-Mateus, Holman1b4b1bc0-3606-4c14-bb13-dbc9d4251891Zamora Musa, Ronald0e0bf79a-a04a-44f0-ac46-b89f9e3000d32023-07-19T21:19:43Z2023-07-19T21:19:43Z20222023Salas-Navarro, K., Serrano-Pájaro, P., Ospina-Mateus, H., & Zamora-Musa, R. (2022). Inventory models in a sustainable supply chain: a bibliometric analysis. Sustainability, 14(10), 6003.https://hdl.handle.net/20.500.12585/1219910.3390/su14106003Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis 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/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Sustainability (Switzerland)Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysisinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Environmental Markets;Pollution Tax;Emission ReductionCartagena de IndiasWang, 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 (2014) Natural Hazards, 74 (3), pp. 1649-1666. Cited 124 times. www.wkap.nl/journalhome.htm/0921-030X doi: 10.1007/s11069-014-1260-yArgumedo-García, M., Salas-Navarro, K., Acevedo-Chedid, J., Ospina-Mateus, H. Bibliometric analysis of the potential of technologies in the humanitarian supply Chain (2021) Journal of Open Innovation: Technology, Market, and Complexity, 7 (4), art. no. 232. Cited 3 times. https://www.mdpi.com/2199-8531/7/4/232/pdf doi: 10.3390/joitmc7040232Navarro, K.S., Chedid, J.A., Florez, W.F., Mateus, H.O., Cárdenas-Barrón, L.E., Sana, S.S. A COLLABORATIVE EPQ INVENTORY MODEL FOR A THREE-ECHELON SUPPLY CHAIN WITH MULTIPLE PRODUCTS CONSIDERING THE EFFECT OF MARKETING EFFORT ON DEMAND (2020) Journal of Industrial and Management Optimization, 16 (4), pp. 1613-1633. Cited 10 times. http://aimsciences.org/journals/home.jsp?journalID=5 doi: 10.3934/jimo.2019020Ansari, Z.N., Kant, R. 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