The Use of Supply Chain Metrics in Lebanon

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dc.contributor.author Huballah, Zeina
dc.date.accessioned 2022-04-28T11:43:04Z
dc.date.available 2022-04-28T11:43:04Z
dc.date.copyright 2020 en_US
dc.date.issued 2020-05-01
dc.identifier.uri http://hdl.handle.net/10725/13524
dc.description.abstract One standard in measuring supply chain management success is that established by the SCOR model. The SCOR model was created by a management consulting firm of the Supply Chain Council which relies on specific performance measures that are related to the five-core process building blocks: Plan, Source, Make, Deliver, and Return with a sixth block of “Enable” added later. With its origins in Western/Developed Countries, there is some question about the applicability of the same metric system in Low- and Middle-Income Countries. This thesis relies on a survey methodology to explore the extent to which companies across multiple industries are measuring the SCOR Level 1 and Level 2 metrics in Lebanon and the MENA region. The results of the survey are analyzed via two machine learning techniques – an unsupervised clustering technique (kMeans) to identify companies with similar behavior relative to the SCOR metrics and a supervised learning technique (Classification Trees) to ascertain which company demographics (ie industry, age, size, age of employees, and SCOR familiarity) dictate cluster membership. en_US
dc.language.iso en en_US
dc.subject Business logistics -- Lebanon en_US
dc.subject Business logistics -- Developing countries en_US
dc.subject Business logistics -- Management en_US
dc.subject Lebanese American University -- Dissertations en_US
dc.subject Dissertations, Academic en_US
dc.title The Use of Supply Chain Metrics in Lebanon en_US
dc.type Thesis en_US
dc.title.subtitle A Study of SCOR Applicability en_US
dc.term.submitted Spring en_US
dc.author.degree MBA en_US
dc.author.school SOB en_US
dc.author.idnumber 201405995 en_US
dc.author.commembers El Khalil, Raed
dc.author.commembers Kassar, Abdul-Nasser
dc.author.department Information Technology And Operations Management en_US
dc.description.physdesc 1 online resource (ix, 66 leaves) : ill. (chiefly col.) en_US
dc.author.advisor Srour, Jordan
dc.keywords Supply chain management en_US
dc.keywords SCOR Model en_US
dc.keywords SCOR performances en_US
dc.keywords Developing Countries en_US
dc.keywords MENA Region en_US
dc.description.bibliographiccitations Bibliography: leaf 50-52. en_US
dc.identifier.doi https://doi.org/10.26756/th.2022.279
dc.author.email zeina.huballah@lau.edu en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php en_US
dc.publisher.institution Lebanese American University en_US
dc.author.affiliation Lebanese American University en_US

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