Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications
The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. H...
Gespeichert in:
Veröffentlicht in: | Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-25 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 25 |
---|---|
container_issue | 2020 |
container_start_page | 1 |
container_title | Mathematical problems in engineering |
container_volume | 2020 |
creator | Shi, Hua Liu, Hu-Chen Liu, Ran Zhang, Li-Jun |
description | The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art. |
doi_str_mv | 10.1155/2020/1783421 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2427219117</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2427219117</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-9df42f8ebff2d00c504083b964f6cf2a4430009f1c2ccb6e8d648ef5f711681e3</originalsourceid><addsrcrecordid>eNqF0E1Lw0AQBuAgCtbqzbMseLSxO7ubL2-h1Cq0CFbBW9huZmlKTOLupsV_b2IKHj3NDDy8A6_nXQO9BwiCKaOMTiGKuWBw4o0gCLkfgIhOu50y4QPjH-fehbU7ShkEEI88uzCIFVm3TVMWaMh8L8tWuqKuiKxyssYSVX_ZB5KStZMO_Vr7bot-ahxZFg6NdK1B8or7Ag-k1mRV51jaCVmh29Z5t_RBaZ-vfoPtpXemZWnx6jjH3vvj_G325C9fFs-zdOkrHlLnJ7kWTMe40ZrllKqAChrzTRIKHSrNpBCcUppoUEypTYhxHooYdaAjgDAG5GPvdshtTP3VonXZrm5N1b3MmGARgwQg6tRkUMrU1hrUWWOKT2m-M6BZX2vW15oda-343cC3RZXLQ_Gfvhk0dga1_NOQ8IDF_AcLioDb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2427219117</pqid></control><display><type>article</type><title>Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications</title><source>Wiley Online Library Open Access</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Shi, Hua ; Liu, Hu-Chen ; Liu, Ran ; Zhang, Li-Jun</creator><contributor>Sancibrian, Ramon</contributor><creatorcontrib>Shi, Hua ; Liu, Hu-Chen ; Liu, Ran ; Zhang, Li-Jun ; Sancibrian, Ramon</creatorcontrib><description>The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2020/1783421</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Bibliometrics ; Component and supplier management ; Decision making ; Engineering ; Literature reviews ; Organizational aspects ; Performance evaluation ; Research methodology ; State-of-the-art reviews ; Studies ; Suppliers ; Supply chains ; Sustainability ; Weighting methods</subject><ispartof>Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-25</ispartof><rights>Copyright © 2020 Li-Jun Zhang et al.</rights><rights>Copyright © 2020 Li-Jun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-9df42f8ebff2d00c504083b964f6cf2a4430009f1c2ccb6e8d648ef5f711681e3</citedby><cites>FETCH-LOGICAL-c360t-9df42f8ebff2d00c504083b964f6cf2a4430009f1c2ccb6e8d648ef5f711681e3</cites><orcidid>0000-0003-4566-2107 ; 0000-0003-4982-3086</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids></links><search><contributor>Sancibrian, Ramon</contributor><creatorcontrib>Shi, Hua</creatorcontrib><creatorcontrib>Liu, Hu-Chen</creatorcontrib><creatorcontrib>Liu, Ran</creatorcontrib><creatorcontrib>Zhang, Li-Jun</creatorcontrib><title>Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications</title><title>Mathematical problems in engineering</title><description>The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.</description><subject>Bibliometrics</subject><subject>Component and supplier management</subject><subject>Decision making</subject><subject>Engineering</subject><subject>Literature reviews</subject><subject>Organizational aspects</subject><subject>Performance evaluation</subject><subject>Research methodology</subject><subject>State-of-the-art reviews</subject><subject>Studies</subject><subject>Suppliers</subject><subject>Supply chains</subject><subject>Sustainability</subject><subject>Weighting methods</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNqF0E1Lw0AQBuAgCtbqzbMseLSxO7ubL2-h1Cq0CFbBW9huZmlKTOLupsV_b2IKHj3NDDy8A6_nXQO9BwiCKaOMTiGKuWBw4o0gCLkfgIhOu50y4QPjH-fehbU7ShkEEI88uzCIFVm3TVMWaMh8L8tWuqKuiKxyssYSVX_ZB5KStZMO_Vr7bot-ahxZFg6NdK1B8or7Ag-k1mRV51jaCVmh29Z5t_RBaZ-vfoPtpXemZWnx6jjH3vvj_G325C9fFs-zdOkrHlLnJ7kWTMe40ZrllKqAChrzTRIKHSrNpBCcUppoUEypTYhxHooYdaAjgDAG5GPvdshtTP3VonXZrm5N1b3MmGARgwQg6tRkUMrU1hrUWWOKT2m-M6BZX2vW15oda-343cC3RZXLQ_Gfvhk0dga1_NOQ8IDF_AcLioDb</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Shi, Hua</creator><creator>Liu, Hu-Chen</creator><creator>Liu, Ran</creator><creator>Zhang, Li-Jun</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-4566-2107</orcidid><orcidid>https://orcid.org/0000-0003-4982-3086</orcidid></search><sort><creationdate>2020</creationdate><title>Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications</title><author>Shi, Hua ; Liu, Hu-Chen ; Liu, Ran ; Zhang, Li-Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-9df42f8ebff2d00c504083b964f6cf2a4430009f1c2ccb6e8d648ef5f711681e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bibliometrics</topic><topic>Component and supplier management</topic><topic>Decision making</topic><topic>Engineering</topic><topic>Literature reviews</topic><topic>Organizational aspects</topic><topic>Performance evaluation</topic><topic>Research methodology</topic><topic>State-of-the-art reviews</topic><topic>Studies</topic><topic>Suppliers</topic><topic>Supply chains</topic><topic>Sustainability</topic><topic>Weighting methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Hua</creatorcontrib><creatorcontrib>Liu, Hu-Chen</creatorcontrib><creatorcontrib>Liu, Ran</creatorcontrib><creatorcontrib>Zhang, Li-Jun</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Hua</au><au>Liu, Hu-Chen</au><au>Liu, Ran</au><au>Zhang, Li-Jun</au><au>Sancibrian, Ramon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>25</epage><pages>1-25</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2020/1783421</doi><tpages>25</tpages><orcidid>https://orcid.org/0000-0003-4566-2107</orcidid><orcidid>https://orcid.org/0000-0003-4982-3086</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1024-123X |
ispartof | Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-25 |
issn | 1024-123X 1563-5147 |
language | eng |
recordid | cdi_proquest_journals_2427219117 |
source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | Bibliometrics Component and supplier management Decision making Engineering Literature reviews Organizational aspects Performance evaluation Research methodology State-of-the-art reviews Studies Suppliers Supply chains Sustainability Weighting methods |
title | Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T19%3A14%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Green%20Supplier%20Evaluation%20and%20Selections:%20A%20State-of-the-Art%20Literature%20Review%20of%20Models,%20Methods,%20and%20Applications&rft.jtitle=Mathematical%20problems%20in%20engineering&rft.au=Shi,%20Hua&rft.date=2020&rft.volume=2020&rft.issue=2020&rft.spage=1&rft.epage=25&rft.pages=1-25&rft.issn=1024-123X&rft.eissn=1563-5147&rft_id=info:doi/10.1155/2020/1783421&rft_dat=%3Cproquest_cross%3E2427219117%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2427219117&rft_id=info:pmid/&rfr_iscdi=true |