Decision support systems for sustainable logistics: a review and bibliometric analysis
Purpose Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges...
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| Veröffentlicht in: | Industrial management + data systems 2017-08, Vol.117 (7), p.1376-1388 |
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| creator | Qaiser, Fahham Hasan Ahmed, Karim Sykora, Martin Choudhary, Alok Simpson, Mike |
| description | Purpose
Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects.
Design/methodology/approach
A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer.
Findings
The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing.
Originality/value
To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will e |
| doi_str_mv | 10.1108/IMDS-09-2016-0410 |
| format | Article |
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Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects.
Design/methodology/approach
A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer.
Findings
The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing.
Originality/value
To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.</description><identifier>ISSN: 0263-5577</identifier><identifier>EISSN: 1758-5783</identifier><identifier>DOI: 10.1108/IMDS-09-2016-0410</identifier><language>eng</language><publisher>Wembley: Emerald Publishing Limited</publisher><subject>Bibliometrics ; Citation indexes ; Data analysis ; Data mining ; Decision analysis ; Decision making ; Decision support systems ; Economic analysis ; Freight transportation ; Geographical distribution ; Impact analysis ; Keywords ; Literature reviews ; Logistics ; Logistics management ; Materials handling ; Multiple criterion ; Social factors ; Studies ; Supply chains ; Sustainability ; Systematic review ; Texts</subject><ispartof>Industrial management + data systems, 2017-08, Vol.117 (7), p.1376-1388</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-d7b570ccc67c12837ffd367c9b01834c1eca858093093041a5243db875900c6f3</citedby><cites>FETCH-LOGICAL-c357t-d7b570ccc67c12837ffd367c9b01834c1eca858093093041a5243db875900c6f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IMDS-09-2016-0410/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,967,11634,21694,27923,27924,52688,53243</link.rule.ids></links><search><creatorcontrib>Qaiser, Fahham Hasan</creatorcontrib><creatorcontrib>Ahmed, Karim</creatorcontrib><creatorcontrib>Sykora, Martin</creatorcontrib><creatorcontrib>Choudhary, Alok</creatorcontrib><creatorcontrib>Simpson, Mike</creatorcontrib><title>Decision support systems for sustainable logistics: a review and bibliometric analysis</title><title>Industrial management + data systems</title><description>Purpose
Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects.
Design/methodology/approach
A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer.
Findings
The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing.
Originality/value
To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.</description><subject>Bibliometrics</subject><subject>Citation indexes</subject><subject>Data analysis</subject><subject>Data mining</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Economic analysis</subject><subject>Freight transportation</subject><subject>Geographical distribution</subject><subject>Impact analysis</subject><subject>Keywords</subject><subject>Literature reviews</subject><subject>Logistics</subject><subject>Logistics management</subject><subject>Materials handling</subject><subject>Multiple criterion</subject><subject>Social factors</subject><subject>Studies</subject><subject>Supply chains</subject><subject>Sustainability</subject><subject>Systematic review</subject><subject>Texts</subject><issn>0263-5577</issn><issn>1758-5783</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkM1LxDAQxYMouK7-Ad4CnqOTpmlSb7Lrx4LiwY9rSNNUsrSbmukq-9_bsl4EYWCGx3vD40fIOYdLzkFfrZ6WLwxKlgEvGOQcDsiMK6mZVFockhlkhWBSKnVMThDXAKOQFTPyvvQuYIgbitu-j2mguMPBd0ibmEYNBxs2tmo9beNHwCE4vKaWJv8V_De1m5pWoWpD7PyQghsF2-4w4Ck5amyL_ux3z8nb3e3r4oE9Pt-vFjePzAmpBlarSipwzhXK8UwL1TS1GO-yAq5F7rh3VksNpZgm51ZmuagrrWQJ4IpGzMnF_m-f4ufW42DWcZvGEmh4mSklQeXl6OJ7l0sRMfnG9Cl0Nu0MBzPhMxM-A6WZ8JkJ35iBfcZ3Ptm2_jfyh7j4AejAcXk</recordid><startdate>20170814</startdate><enddate>20170814</enddate><creator>Qaiser, Fahham Hasan</creator><creator>Ahmed, Karim</creator><creator>Sykora, Martin</creator><creator>Choudhary, Alok</creator><creator>Simpson, Mike</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20170814</creationdate><title>Decision support systems for sustainable logistics: a review and bibliometric analysis</title><author>Qaiser, Fahham Hasan ; Ahmed, Karim ; Sykora, Martin ; Choudhary, Alok ; Simpson, Mike</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-d7b570ccc67c12837ffd367c9b01834c1eca858093093041a5243db875900c6f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bibliometrics</topic><topic>Citation indexes</topic><topic>Data analysis</topic><topic>Data mining</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Decision support systems</topic><topic>Economic analysis</topic><topic>Freight transportation</topic><topic>Geographical distribution</topic><topic>Impact analysis</topic><topic>Keywords</topic><topic>Literature reviews</topic><topic>Logistics</topic><topic>Logistics management</topic><topic>Materials handling</topic><topic>Multiple criterion</topic><topic>Social factors</topic><topic>Studies</topic><topic>Supply chains</topic><topic>Sustainability</topic><topic>Systematic review</topic><topic>Texts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qaiser, Fahham Hasan</creatorcontrib><creatorcontrib>Ahmed, Karim</creatorcontrib><creatorcontrib>Sykora, Martin</creatorcontrib><creatorcontrib>Choudhary, Alok</creatorcontrib><creatorcontrib>Simpson, Mike</creatorcontrib><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Industrial management + data systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qaiser, Fahham Hasan</au><au>Ahmed, Karim</au><au>Sykora, Martin</au><au>Choudhary, Alok</au><au>Simpson, Mike</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Decision support systems for sustainable logistics: a review and bibliometric analysis</atitle><jtitle>Industrial management + data systems</jtitle><date>2017-08-14</date><risdate>2017</risdate><volume>117</volume><issue>7</issue><spage>1376</spage><epage>1388</epage><pages>1376-1388</pages><issn>0263-5577</issn><eissn>1758-5783</eissn><abstract>Purpose
Decision making in logistics is an increasingly complex task for organizations as these involve decisions at strategic, tactical and operational levels coupled with the triple-bottom line of sustainability. Decision support systems (DSS) played a vital role in arguably solving the challenges associated with decision making in sustainable logistics. The purpose of this paper is to explore the current state of the research in the domain of DSS for logistics while considering sustainability aspects.
Design/methodology/approach
A systematic review approach using a set of relevant keywords with several exclusion criteria was adopted to identify literature related to DSS for sustainable logistics. A total of 40 papers were found from 1994 to 2015, which were then analyzed along the dimensions of publishing trend, geographic distribution and collaboration, the most influential journals, affiliations and authors as well as the key themes of identified literature. The analysis was conducted by means of bibliometric and text mapping tools, namely BibExcel, gpsvisualizer and VOSviewer.
Findings
The bibliometric analysis showed that DSS for sustainable logistics is an emerging field; however, it is still evolving but at a slower pace. Furthermore, most of the contributing affiliations belong to the USA and the UK. The text mining and keyword analysis revealed key themes of identified papers. The inherent key themes were decision models and frameworks to address sustainable logistics issues covering transport, distribution and third-party logistics. The most prominent sustainable logistics issue was carbon footprinting. Social impact has been given less attention in comparison to economic and environmental aspects. The literature has adequate room for proposing more effective solutions by considering various types of multi-criteria decision analysis methods and DSS configurations while simultaneously considering economic, environmental and social aspects of sustainable logistics. Moreover, the field has potential to include logistics from wide application areas including freight transport through road, rail, sea, air as well as inter-modal transport, port operations, material handling and warehousing.
Originality/value
To the best of the authors’ knowledge, this is the first systematic review of DSS for sustainable logistics using bibliometric and text analysis. The key themes and research gaps identified in this paper will provide a reference point that will encourage and guide interested researchers for future study, thus aiding both theoretical and practical advancements in this discipline.</abstract><cop>Wembley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/IMDS-09-2016-0410</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Industrial management + data systems, 2017-08, Vol.117 (7), p.1376-1388 |
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| source | Emerald Journals; Standard: Emerald eJournal Premier Collection |
| subjects | Bibliometrics Citation indexes Data analysis Data mining Decision analysis Decision making Decision support systems Economic analysis Freight transportation Geographical distribution Impact analysis Keywords Literature reviews Logistics Logistics management Materials handling Multiple criterion Social factors Studies Supply chains Sustainability Systematic review Texts |
| title | Decision support systems for sustainable logistics: a review and bibliometric analysis |
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