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dc.contributor.advisorShan, Yongwei
dc.contributor.authorMayes, Jason
dc.date.accessioned2019-03-25T21:41:17Z
dc.date.available2019-03-25T21:41:17Z
dc.date.issued2018-05-01
dc.identifier.urihttps://hdl.handle.net/11244/317759
dc.description.abstractMany variables affect commercial construction projects. Some of these are related to the soft sciences of construction laborers on construction projects. Past research studied Emotional Intelligence (EI) of construction managers and provided data used to predict construction project success. This research studied construction laborers instead of construction managers. The Percent Planned Complete (PPC) of the Last Planner System (LPS) was used to determine the predictability of four subcontractors on a multi-family housing project with a thirteen-week schedule in Stillwater, Oklahoma. The Emotional Intelligence score of forty-nine construction laborers was collected using the SSEIT and the relationship with their PPC was analyzed. The results provide new knowledge to the understanding of construction worker's productivity showing higher EI scores could have a negative impact on workplace productivity. With this new knowledge construction managers can understand the role EI plays with construction laborers' productivity.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleCase Study Investigating the Relationship Between Construction Craft Workers' Emotional Intelligence and Productivity on Jobsites
dc.contributor.committeeMemberHoltzhower, Lantz D.
dc.contributor.committeeMemberYates, Heather Noelle
dc.contributor.committeeMemberLewis, Michael Phil
osu.filenameMayes_okstate_0664M_15650.pdf
osu.accesstypeOpen Access
dc.description.departmentCivil Engineering
dc.type.genreThesis
dc.type.materialtext


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