Applying data driven decision making to rank vocational and educational training programs with TOPSIS
In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009–2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies tog...
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Veröffentlicht in: | Decision Support Systems 2021-03, Vol.142, p.113470, Article 113470 |
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creator | Conejero, J.M. Preciado, J.C. Prieto, A.E. Bas, M.C. Bolós, V.J. |
description | In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009–2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.
•A data-driven multi-criteria decision-making approach is presented.•8 different criteria were applied whose values were computed from a real dataset.•The information is enriched by real data instead of being based on questionnaires.•A new technique for assessing the influence of the different criteria is included. |
doi_str_mv | 10.1016/j.dss.2020.113470 |
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•A data-driven multi-criteria decision-making approach is presented.•8 different criteria were applied whose values were computed from a real dataset.•The information is enriched by real data instead of being based on questionnaires.•A new technique for assessing the influence of the different criteria is included.</description><subject>Criteria influence analysis</subject><subject>Data-driven decision making</subject><subject>Decision making</subject><subject>Education</subject><subject>Employability</subject><subject>Multicriteria decision analysis</subject><subject>Multiple criterion</subject><subject>Sensitivity analysis</subject><subject>TOPSIS</subject><subject>Vocational education and training ranking</subject><issn>0167-9236</issn><issn>1873-5797</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kN1LwzAUxYMoOKd_gG8Bnzvz0eW2-DSGH4PBhM3nkCbpTLe1Nekm--9Nqfjo0-Xc-zuXw0HonpIJJVQ8VhMTwoQRFjXlKZALNKIZ8GQKOVyiUWQgyRkX1-gmhIoQwSETI2Rnbbs_u3qLjeoUNt6dbI2N1S64psYHtetvXYO9qnf41GjVxb3aY1UbbM3xT3deubpnW99svToE_O26T7xZva8X61t0Vap9sHe_c4w-Xp4387dkuXpdzGfLRHORdUkKNiVAC5FSkedCM0gVcNDAiYWcEg26yKBgrGRCm5LwglllGICijKUZ5WP0MPyNIb6ONnSyao4-xguSpXnO8ylLSaToQGnfhOBtKVvvDsqfJSWyb1NWMrYp-zbl0Gb0PA0eG-OfnPUyaGdrbY3zVnfSNO4f9w9SYXyX</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Conejero, J.M.</creator><creator>Preciado, J.C.</creator><creator>Prieto, A.E.</creator><creator>Bas, M.C.</creator><creator>Bolós, V.J.</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>202103</creationdate><title>Applying data driven decision making to rank vocational and educational training programs with TOPSIS</title><author>Conejero, J.M. ; Preciado, J.C. ; Prieto, A.E. ; Bas, M.C. ; Bolós, V.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-47e4071b6416996c274a737c730e7910c7cb87b22f26cdf03b2ead277a1224813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Criteria influence analysis</topic><topic>Data-driven decision making</topic><topic>Decision making</topic><topic>Education</topic><topic>Employability</topic><topic>Multicriteria decision analysis</topic><topic>Multiple criterion</topic><topic>Sensitivity analysis</topic><topic>TOPSIS</topic><topic>Vocational education and training ranking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Conejero, J.M.</creatorcontrib><creatorcontrib>Preciado, J.C.</creatorcontrib><creatorcontrib>Prieto, A.E.</creatorcontrib><creatorcontrib>Bas, M.C.</creatorcontrib><creatorcontrib>Bolós, V.J.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Decision Support Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Conejero, J.M.</au><au>Preciado, J.C.</au><au>Prieto, A.E.</au><au>Bas, M.C.</au><au>Bolós, V.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applying data driven decision making to rank vocational and educational training programs with TOPSIS</atitle><jtitle>Decision Support Systems</jtitle><date>2021-03</date><risdate>2021</risdate><volume>142</volume><spage>113470</spage><pages>113470-</pages><artnum>113470</artnum><issn>0167-9236</issn><eissn>1873-5797</eissn><abstract>In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009–2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.
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subjects | Criteria influence analysis Data-driven decision making Decision making Education Employability Multicriteria decision analysis Multiple criterion Sensitivity analysis TOPSIS Vocational education and training ranking |
title | Applying data driven decision making to rank vocational and educational training programs with TOPSIS |
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