Decision-Making in the NBA: The Interaction of Advanced Analytics and Traditional Evaluation Methods
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Date
2015-06
Authors
Mills, Jonathan
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
Decision-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.
Description
129 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.
Keywords
Basketball operations, Sports, Advanced analytics, Traditional evaluation, Decision making, NBA, National Basketball Association