Decision-Making in the NBA: The Interaction of Advanced Analytics and Traditional Evaluation Methods

dc.contributor.authorMills, Jonathan
dc.date.accessioned2015-08-13T18:30:50Z
dc.date.available2015-08-13T18:30:50Z
dc.date.issued2015-06
dc.description129 pages. A thesis presented to the Lundquist College of Business and the Clark Honors College of the University of Oregon in partial fulfillment of the requirements for degree of Bachelor of Science, Spring 2015.en_US
dc.description.abstractDecision-making in the National Basketball Association (NBA) occurs in the three general contexts of player evaluation, team evaluation, and roster construction. This thesis will explore the interaction of two primary methods of evaluating basketball—“advanced analytics” and “traditional evaluation methods”—that must be integrated together to reduce risk in decision-making and achieve competitive advantage. “Advanced analytics” does not have a precise definition, but can broadly be defined in this thesis as “insights gained from quantitative data analysis about basketball.” “Traditional evaluation methods” include any form of observation, such as on-site scouting, live coaching, and game film analysis. Through an interview and survey protocol, this thesis explores methods for quantifying human intangibles, the role of “gut instinct,” NBA organizational structures, as well as the specific strategies and tools in place for key decision-makers to balance all available information. The findings of this thesis are that NBA organizations should formalize their decision-making processes with repeatable strategies and specific tools that align with the strategic plan and vision of the organization, in order to maximize team performance and pursue NBA championships.en_US
dc.identifier.urihttps://hdl.handle.net/1794/19127
dc.language.isoen_USen_US
dc.publisherUniversity of Oregonen_US
dc.rightsCreative Commons BY-NC-ND 4.0-USen_US
dc.subjectBasketball operationsen_US
dc.subjectSportsen_US
dc.subjectAdvanced analyticsen_US
dc.subjectTraditional evaluationen_US
dc.subjectDecision makingen_US
dc.subjectNBAen_US
dc.subjectNational Basketball Associationen_US
dc.titleDecision-Making in the NBA: The Interaction of Advanced Analytics and Traditional Evaluation Methodsen_US
dc.typeThesis / Dissertationen_US

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