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dc.contributor.advisorGravina, Nicole E.
dc.contributor.authorKelley, David Patrick
dc.date.accessioned2018-04-23T14:20:07Z
dc.date.available2018-04-23T14:20:07Z
dc.date.created2018-05
dc.date.issued2018-03
dc.date.submittedMay 2018
dc.identifier.urihttp://hdl.handle.net/11141/2420
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2018en_US
dc.description.abstractLeadership has been a popular topic of conversation for decades. Despite an abundant amount of attention the topic has received, the literature seems to fall short when describing what effective leaders do in a day to day context. A theory introduced by Komaki (1986), called the Operant Model of Effective Supervision (OMES), was designed to answer the tough questions about leadership that have been left unanswered. Research on the theory has resulted in multiple methods to accurately measure leadership behavior within an operant paradigm. One of these methods is an in-basket assessment that has been shown to reliably capture day to day leadership behavior in about one hour. The present study sought to assess whether this tool was predictive of leadership effectiveness by comparing scores on the assessment of 47 individuals in a leadership role with an employee engagement score, which captures follower attitudes and is reliably linked to organizational performance. The study found that leaders who spend more time providing antecedents to employees have significantly lower employee engagement scores than leaders who spend less time providing antecedents.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC BY 4.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.subjectLeadershipen_US
dc.subjectOperanten_US
dc.subjectModelen_US
dc.subjectEffectiveen_US
dc.subjectSupervisionen_US
dc.subjectBehavioren_US
dc.titleUsing the Operant Model of Effective Supervision to Predict Employee Engagement for Leaders in a Hospital Systemen_US
dc.typeDissertationen_US
dc.date.updated2018-04-03T13:26:18Z
thesis.degree.nameDoctor of Philosophy in Behavior Analysisen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineBehavior Analysisen_US
thesis.degree.departmentBehavior Analysisen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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